diff --git a/.github/fork_workflows/fork_pr_integration_tests_aws.yml b/.github/fork_workflows/fork_pr_integration_tests_aws.yml
index 7261833ae6..be75c4f987 100644
--- a/.github/fork_workflows/fork_pr_integration_tests_aws.yml
+++ b/.github/fork_workflows/fork_pr_integration_tests_aws.yml
@@ -67,7 +67,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.9" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -153,9 +153,9 @@ jobs:
         env:
           FEAST_SERVER_DOCKER_IMAGE_TAG: ${{ needs.build-docker-image.outputs.DOCKER_IMAGE_TAG }}
         run: |
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "aws and not Snowflake and not BigQuery"
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not Snowflake and not BigQuery"
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "dynamo and not Snowflake and not BigQuery"
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "Redshift and not Snowflake and not BigQuery"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "aws and not Snowflake and not BigQuery and not minio_registry"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not Snowflake and not BigQuery and not minio_registry"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "dynamo and not Snowflake and not BigQuery and not minio_registry"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "Redshift and not Snowflake and not BigQuery and not minio_registry"
 
 
diff --git a/.github/fork_workflows/fork_pr_integration_tests_gcp.yml b/.github/fork_workflows/fork_pr_integration_tests_gcp.yml
index 1a05c068b5..0793fbd6e5 100644
--- a/.github/fork_workflows/fork_pr_integration_tests_gcp.yml
+++ b/.github/fork_workflows/fork_pr_integration_tests_gcp.yml
@@ -9,7 +9,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.9" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -96,6 +96,6 @@ jobs:
         if: ${{ always() }}  # this will guarantee that step won't be canceled and resources won't leak
         # Run only BigQuery and File tests without dynamo and redshift tests.
         run: |
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "BigQuery and not dynamo and not Redshift and not Snowflake"
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not dynamo and not Redshift and not Snowflake"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "BigQuery and not dynamo and not Redshift and not Snowflake and not minio_registry"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not dynamo and not Redshift and not Snowflake and not minio_registry"
 
diff --git a/.github/fork_workflows/fork_pr_integration_tests_snowflake.yml b/.github/fork_workflows/fork_pr_integration_tests_snowflake.yml
index 9327f5c729..b9b6f8df06 100644
--- a/.github/fork_workflows/fork_pr_integration_tests_snowflake.yml
+++ b/.github/fork_workflows/fork_pr_integration_tests_snowflake.yml
@@ -9,7 +9,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.9" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -92,6 +92,6 @@ jobs:
           SNOWFLAKE_CI_WAREHOUSE: ${{ secrets.SNOWFLAKE_CI_WAREHOUSE }}
         # Run only Snowflake BigQuery and File tests without dynamo and redshift tests.
         run: |
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "Snowflake and not dynamo and not Redshift and not Bigquery and not gcp"
-          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not dynamo and not Redshift and not Bigquery and not gcp"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "Snowflake and not dynamo and not Redshift and not Bigquery and not gcp and not minio_registry"
+          pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread -k "File and not dynamo and not Redshift and not Bigquery and not gcp and not minio_registry"
 
diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md
index e8d00798c0..4bec4d79e1 100644
--- a/.github/pull_request_template.md
+++ b/.github/pull_request_template.md
@@ -9,11 +9,16 @@
 
 -->
 
-**What this PR does / why we need it**:
+# What this PR does / why we need it:
+<!--
+Outline what you're doing
+-->
 
-**Which issue(s) this PR fixes**:
+# Which issue(s) this PR fixes:
 <!--
 *Automatically closes linked issue when PR is merged.
 Usage: `Fixes #<issue number>`, or `Fixes (paste link of issue)`.
 -->
-Fixes #
+
+
+# Fixes
diff --git a/.github/workflows/build_wheels.yml b/.github/workflows/build_wheels.yml
index 6e6539cf9e..f0851f5bb0 100644
--- a/.github/workflows/build_wheels.yml
+++ b/.github/workflows/build_wheels.yml
@@ -59,7 +59,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v3
         with:
-          python-version: "3.8"
+          python-version: "3.9"
           architecture: x64
       - name: Setup Node
         uses: actions/setup-node@v3
@@ -137,7 +137,7 @@ jobs:
     strategy:
       matrix:
         os: [ubuntu-latest,  macos-latest ]
-        python-version: [ "3.8", "3.9", "3.10"]
+        python-version: ["3.9", "3.10"]
         from-source: [ True, False ]
     env:
       # this script is for testing servers
diff --git a/.github/workflows/java_master_only.yml b/.github/workflows/java_master_only.yml
index d82f69dd3c..79b456e571 100644
--- a/.github/workflows/java_master_only.yml
+++ b/.github/workflows/java_master_only.yml
@@ -25,7 +25,7 @@ jobs:
         uses: actions/setup-python@v3
         id: setup-python
         with:
-          python-version: "3.8"
+          python-version: "3.9"
           architecture: x64
       - name: Authenticate to Google Cloud
         uses: 'google-github-actions/auth@v1'
@@ -95,7 +95,7 @@ jobs:
     if: github.repository == 'feast-dev/feast'
     runs-on: ubuntu-latest
     env:
-      PYTHON: 3.8
+      PYTHON: 3.9
     steps:
       - uses: actions/checkout@v3
         with:
@@ -110,7 +110,7 @@ jobs:
         uses: actions/setup-python@v3
         id: setup-python
         with:
-          python-version: 3.8
+          python-version: 3.9
           architecture: x64
       - name: Get pip cache dir
         id: pip-cache
diff --git a/.github/workflows/java_pr.yml b/.github/workflows/java_pr.yml
index 83c52e7dbf..b78b5297d2 100644
--- a/.github/workflows/java_pr.yml
+++ b/.github/workflows/java_pr.yml
@@ -9,7 +9,11 @@ on:
 
 jobs:
   lint-java:
-    if: github.repository == 'feast-dev/feast'
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    if:
+      ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
+      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
+      github.repository == 'feast-dev/feast'
     runs-on: ubuntu-latest
     steps:
       - uses: actions/checkout@v3
@@ -23,7 +27,11 @@ jobs:
         run: make lint-java
 
   unit-test-java:
-    if: github.repository == 'feast-dev/feast'
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    if:
+      ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
+      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
+      github.repository == 'feast-dev/feast'
     runs-on: ubuntu-latest
     needs: lint-java
     steps:
@@ -60,7 +68,11 @@ jobs:
           path: ${{ github.workspace }}/docs/coverage/java/target/site/jacoco-aggregate/
 
   build-docker-image-java:
-    if: github.repository == 'feast-dev/feast'
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    if:
+      ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
+      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
+      github.repository == 'feast-dev/feast'
     runs-on: ubuntu-latest
     strategy:
       matrix:
@@ -76,7 +88,7 @@ jobs:
         uses: actions/setup-python@v3
         id: setup-python
         with:
-          python-version: "3.8"
+          python-version: "3.9"
           architecture: x64
       - name: Authenticate to Google Cloud
         uses: 'google-github-actions/auth@v1'
@@ -91,15 +103,15 @@ jobs:
         run: make build-${{ matrix.component }}-docker REGISTRY=${REGISTRY} VERSION=${GITHUB_SHA}
 
   integration-test-java-pr:
-    # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
     if:
-      ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'ok-to-test')) ||
-      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved')))) &&
+      ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
+      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
       github.repository == 'feast-dev/feast'
     runs-on: ubuntu-latest
     needs: unit-test-java
     env:
-      PYTHON: 3.8
+      PYTHON: 3.9
     steps:
       - uses: actions/checkout@v3
         with:
@@ -116,7 +128,7 @@ jobs:
           architecture: x64
       - uses: actions/setup-python@v3
         with:
-          python-version: '3.8'
+          python-version: '3.9'
           architecture: 'x64'
       - uses: actions/cache@v2
         with:
@@ -146,7 +158,7 @@ jobs:
         uses: actions/setup-python@v3
         id: setup-python
         with:
-          python-version: 3.8
+          python-version: 3.9
           architecture: x64
       - name: Get pip cache dir
         id: pip-cache
diff --git a/.github/workflows/lint_pr.yml b/.github/workflows/lint_pr.yml
index f9af8b27c7..d1aa7d16a3 100644
--- a/.github/workflows/lint_pr.yml
+++ b/.github/workflows/lint_pr.yml
@@ -7,9 +7,14 @@ on:
       - edited
       - synchronize
 
+permissions:
+  # read-only perms specified due to use of pull_request_target in lieu of security label check
+  pull-requests: read
+
 jobs:
   validate-title:
-    if: github.repository == 'feast-dev/feast'
+    if:
+      github.repository == 'feast-dev/feast'
     name: Validate PR title
     runs-on: ubuntu-latest
     steps:
diff --git a/.github/workflows/linter.yml b/.github/workflows/linter.yml
index a4a42a11ed..a1747db135 100644
--- a/.github/workflows/linter.yml
+++ b/.github/workflows/linter.yml
@@ -6,14 +6,14 @@ jobs:
   lint-python:
     runs-on: [ubuntu-latest]
     env:
-      PYTHON: 3.8
+      PYTHON: 3.9
     steps:
       - uses: actions/checkout@v3
       - name: Setup Python
         id: setup-python
         uses: actions/setup-python@v3
         with:
-          python-version: "3.8"
+          python-version: "3.9"
           architecture: x64
       - name: Get pip cache dir
         id: pip-cache
diff --git a/.github/workflows/master_only.yml b/.github/workflows/master_only.yml
index 580ea3171b..225f24a828 100644
--- a/.github/workflows/master_only.yml
+++ b/.github/workflows/master_only.yml
@@ -65,7 +65,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8", "3.9", "3.10" ]
+        python-version: ["3.9", "3.10" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -134,19 +134,15 @@ jobs:
       - name: Test python and go
         env:
           FEAST_SERVER_DOCKER_IMAGE_TAG: ${{ needs.build-lambda-docker-image.outputs.DOCKER_IMAGE_TAG }}
-          FEAST_USAGE: "False"
-          IS_TEST: "True"
           SNOWFLAKE_CI_DEPLOYMENT: ${{ secrets.SNOWFLAKE_CI_DEPLOYMENT }}
           SNOWFLAKE_CI_USER: ${{ secrets.SNOWFLAKE_CI_USER }}
           SNOWFLAKE_CI_PASSWORD: ${{ secrets.SNOWFLAKE_CI_PASSWORD }}
           SNOWFLAKE_CI_ROLE: ${{ secrets.SNOWFLAKE_CI_ROLE }}
           SNOWFLAKE_CI_WAREHOUSE: ${{ secrets.SNOWFLAKE_CI_WAREHOUSE }}
-        run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread
+        run: make test-python-integration
       - name: Benchmark python
         env:
           FEAST_SERVER_DOCKER_IMAGE_TAG: ${{ needs.build-lambda-docker-image.outputs.DOCKER_IMAGE_TAG }}
-          FEAST_USAGE: "False"
-          IS_TEST: "True"
           SNOWFLAKE_CI_DEPLOYMENT: ${{ secrets.SNOWFLAKE_CI_DEPLOYMENT }}
           SNOWFLAKE_CI_USER: ${{ secrets.SNOWFLAKE_CI_USER }}
           SNOWFLAKE_CI_PASSWORD: ${{ secrets.SNOWFLAKE_CI_PASSWORD }}
diff --git a/.github/workflows/nightly-ci.yml b/.github/workflows/nightly-ci.yml
index 0e1df81262..4dea41d4ad 100644
--- a/.github/workflows/nightly-ci.yml
+++ b/.github/workflows/nightly-ci.yml
@@ -36,7 +36,7 @@ jobs:
         uses: actions/setup-python@v3
         id: setup-python
         with:
-          python-version: "3.8"
+          python-version: "3.9"
           architecture: x64
       - name: Set up AWS SDK
         uses: aws-actions/configure-aws-credentials@v1
@@ -124,7 +124,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.9" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -214,11 +214,9 @@ jobs:
         if: ${{ always() }}  # this will guarantee that step won't be canceled and resources won't leak
         env:
           FEAST_SERVER_DOCKER_IMAGE_TAG: ${{ needs.build-docker-image.outputs.DOCKER_IMAGE_TAG }}
-          FEAST_USAGE: "False"
-          IS_TEST: "True"
           SNOWFLAKE_CI_DEPLOYMENT: ${{ secrets.SNOWFLAKE_CI_DEPLOYMENT }}
           SNOWFLAKE_CI_USER: ${{ secrets.SNOWFLAKE_CI_USER }}
           SNOWFLAKE_CI_PASSWORD: ${{ secrets.SNOWFLAKE_CI_PASSWORD }}
           SNOWFLAKE_CI_ROLE: ${{ secrets.SNOWFLAKE_CI_ROLE }}
           SNOWFLAKE_CI_WAREHOUSE: ${{ secrets.SNOWFLAKE_CI_WAREHOUSE }}
-        run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread
\ No newline at end of file
+        run: make test-python-integration
\ No newline at end of file
diff --git a/.github/workflows/pr_integration_tests.yml b/.github/workflows/pr_integration_tests.yml
index 73344ec2dd..5e7287351b 100644
--- a/.github/workflows/pr_integration_tests.yml
+++ b/.github/workflows/pr_integration_tests.yml
@@ -14,7 +14,7 @@ on:
 
 jobs:
   build-docker-image:
-    # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
     if:
       ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
       (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
@@ -76,7 +76,7 @@ jobs:
     outputs:
       DOCKER_IMAGE_TAG: ${{ steps.image-tag.outputs.DOCKER_IMAGE_TAG }}
   integration-test-python:
-    # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
     if:
       ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
       (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
@@ -86,7 +86,7 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.10" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -110,7 +110,7 @@ jobs:
           ref: refs/pull/${{ github.event.pull_request.number }}/merge
           submodules: recursive
       - name: Setup Python
-        uses: actions/setup-python@v3
+        uses: actions/setup-python@v4
         id: setup-python
         with:
           python-version: ${{ matrix.python-version }}
@@ -167,4 +167,4 @@ jobs:
           SNOWFLAKE_CI_PASSWORD: ${{ secrets.SNOWFLAKE_CI_PASSWORD }}
           SNOWFLAKE_CI_ROLE: ${{ secrets.SNOWFLAKE_CI_ROLE }}
           SNOWFLAKE_CI_WAREHOUSE: ${{ secrets.SNOWFLAKE_CI_WAREHOUSE }}
-        run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests --integration --durations=5 --timeout=1200 --timeout_method=thread
\ No newline at end of file
+        run: make test-python-integration
\ No newline at end of file
diff --git a/.github/workflows/pr_local_integration_tests.yml b/.github/workflows/pr_local_integration_tests.yml
index 111a9b51a9..266cdcc9b9 100644
--- a/.github/workflows/pr_local_integration_tests.yml
+++ b/.github/workflows/pr_local_integration_tests.yml
@@ -10,16 +10,16 @@ on:
 
 jobs:
   integration-test-python-local:
-    # all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
+    # when using pull_request_target, all jobs MUST have this if check for 'ok-to-test' or 'approved' for security purposes.
     if:
       ((github.event.action == 'labeled' && (github.event.label.name == 'approved' || github.event.label.name == 'lgtm' || github.event.label.name == 'ok-to-test')) ||
-      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) ||
-      github.repository != 'feast-dev/feast'
+      (github.event.action != 'labeled' && (contains(github.event.pull_request.labels.*.name, 'ok-to-test') || contains(github.event.pull_request.labels.*.name, 'approved') || contains(github.event.pull_request.labels.*.name, 'lgtm')))) &&
+      github.repository == 'feast-dev/feast'
     runs-on: ${{ matrix.os }}
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8" ]
+        python-version: [ "3.10" ]
         os: [ ubuntu-latest ]
     env:
       OS: ${{ matrix.os }}
@@ -61,9 +61,4 @@ jobs:
         run: make install-python-ci-dependencies
       - name: Test local integration tests
         if: ${{ always() }}  # this will guarantee that step won't be canceled and resources won't leak
-        env:
-          FEAST_USAGE: "False"
-          IS_TEST: "True"
-          FEAST_LOCAL_ONLINE_CONTAINER: "True"
-          FEAST_IS_LOCAL_TEST: "True"
-        run: pytest -n 8 --cov=./ --cov-report=xml --color=yes --integration -k "not gcs_registry and not s3_registry and not test_lambda_materialization and not test_snowflake_materialization" sdk/python/tests
+        run: make test-python-integration-local
diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml
index 135d1d3a8d..432ab4bb58 100644
--- a/.github/workflows/publish.yml
+++ b/.github/workflows/publish.yml
@@ -160,7 +160,7 @@ jobs:
           architecture: x64
       - uses: actions/setup-python@v3
         with:
-          python-version: '3.7'
+          python-version: '3.9'
           architecture: 'x64'
       - uses: actions/cache@v2
         with:
diff --git a/.github/workflows/unit_tests.yml b/.github/workflows/unit_tests.yml
index f03cd33346..f3f91bb67f 100644
--- a/.github/workflows/unit_tests.yml
+++ b/.github/workflows/unit_tests.yml
@@ -7,13 +7,11 @@ jobs:
     strategy:
       fail-fast: false
       matrix:
-        python-version: [ "3.8", "3.9", "3.10" ]
+        python-version: [ "3.9", "3.10" ]
         os: [ ubuntu-latest, macOS-latest ]
         exclude:
           - os: macOS-latest
             python-version: "3.9"
-          - os: macOS-latest
-            python-version: "3.10"
     env:
       OS: ${{ matrix.os }}
       PYTHON: ${{ matrix.python-version }}
@@ -25,17 +23,6 @@ jobs:
         with:
           python-version: ${{ matrix.python-version }}
           architecture: x64
-      - name: Install mysql on macOS
-        if:  startsWith(matrix.os, 'macOS')
-        run: |
-          brew install mysql
-          PATH=$PATH:/usr/local/mysql/bin
-      - name: Work around Homebrew MySQL being broken
-        # See https://github.com/Homebrew/homebrew-core/issues/130258 for more details.
-        if:  startsWith(matrix.os, 'macOS')
-        run: |
-          brew install zlib
-          ln -sv $(brew --prefix zlib)/lib/libz.dylib $(brew --prefix)/lib/libzlib.dylib
       - name: Get pip cache dir
         id: pip-cache
         run: |
@@ -58,7 +45,7 @@ jobs:
       - name: Install dependencies
         run: make install-python-ci-dependencies
       - name: Test Python
-        run: pytest -n 8 --cov=./ --cov-report=xml --color=yes sdk/python/tests
+        run: make test-python-unit
 
 
   unit-test-ui:
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 26b8baa963..f09ec9e2b7 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,106 @@
 # Changelog
 
+# [0.36.0](https://github.com/feast-dev/feast/compare/v0.35.0...v0.36.0) (2024-04-16)
+
+
+### Bug Fixes
+
+* Add __eq__, __hash__ to SparkSource for correct comparison ([#4028](https://github.com/feast-dev/feast/issues/4028)) ([e703b40](https://github.com/feast-dev/feast/commit/e703b40582e676d4ec92551e79a444a9c0949f66))
+* Add conn.commit() to Postgresonline_write_batch.online_write_batch ([#3904](https://github.com/feast-dev/feast/issues/3904)) ([7d75fc5](https://github.com/feast-dev/feast/commit/7d75fc525a7f2f46811d168ce71f91b5736ad788))
+* Add missing __init__.py to embedded_go ([#4051](https://github.com/feast-dev/feast/issues/4051)) ([6bb4c73](https://github.com/feast-dev/feast/commit/6bb4c73b49934706002f9346c2260ab4261e4638))
+* Add missing init files in infra utils ([#4067](https://github.com/feast-dev/feast/issues/4067)) ([54910a1](https://github.com/feast-dev/feast/commit/54910a16253c3f901d3bd5399bc2ba9703a7254d))
+* Added registryPath parameter documentation in WebUI reference ([#3983](https://github.com/feast-dev/feast/issues/3983)) ([5e0af8f](https://github.com/feast-dev/feast/commit/5e0af8f52832daec34edd19cbad5e20ac3fd74d0)), closes [#3974](https://github.com/feast-dev/feast/issues/3974) [#3974](https://github.com/feast-dev/feast/issues/3974)
+* Adding missing init files in materialization modules ([#4052](https://github.com/feast-dev/feast/issues/4052)) ([df05253](https://github.com/feast-dev/feast/commit/df0525355c32bbc40f890213edfa36512dd5bf55))
+* Allow trancated timestamps when converting ([#3861](https://github.com/feast-dev/feast/issues/3861)) ([bdd7dfb](https://github.com/feast-dev/feast/commit/bdd7dfb6128dfc1f314a61a266da91c611ce7892))
+* Azure blob storage support in Java feature server ([#2319](https://github.com/feast-dev/feast/issues/2319)) ([#4014](https://github.com/feast-dev/feast/issues/4014)) ([b9aabbd](https://github.com/feast-dev/feast/commit/b9aabbd35e27b26fb3af414da604062d6c8d17d0))
+* Bugfix for grabbing historical data from Snowflake with array type features. ([#3964](https://github.com/feast-dev/feast/issues/3964)) ([1cc94f2](https://github.com/feast-dev/feast/commit/1cc94f2d23f88e0d9412b2fab8761abc81f5d35c))
+* Bytewax materialization engine fails when loading feature_store.yaml ([#3912](https://github.com/feast-dev/feast/issues/3912)) ([987f0fd](https://github.com/feast-dev/feast/commit/987f0fdc99df1ef4507baff75e3df0e02bf42034))
+* CI unittest warnings ([#4006](https://github.com/feast-dev/feast/issues/4006)) ([0441b8b](https://github.com/feast-dev/feast/commit/0441b8b9a7eae2eb478d12a8de911c1bd39ced37))
+* Correct the returning class proto type of StreamFeatureView to StreamFeatureViewProto instead of FeatureViewProto. ([#3843](https://github.com/feast-dev/feast/issues/3843)) ([86d6221](https://github.com/feast-dev/feast/commit/86d62215f2338ea9d48c6e723e907c82cbe5500b))
+* Create index only if not exists during MySQL online store update ([#3905](https://github.com/feast-dev/feast/issues/3905)) ([2f99a61](https://github.com/feast-dev/feast/commit/2f99a617b6a5d8eae1e27c780bbfa94594f54441))
+* Disable minio tests in workflows on master and nightly ([#4072](https://github.com/feast-dev/feast/issues/4072)) ([c06dda8](https://github.com/feast-dev/feast/commit/c06dda84a26c5df3e761a18adaa81f87b1bcc0de))
+* Disable the Feast Usage feature by default. ([#4090](https://github.com/feast-dev/feast/issues/4090)) ([b5a7013](https://github.com/feast-dev/feast/commit/b5a701359543e9e0f4088db54beb939e57131faa))
+* Dump repo_config by alias ([#4063](https://github.com/feast-dev/feast/issues/4063)) ([e4bef67](https://github.com/feast-dev/feast/commit/e4bef6769265a9b5d87486e34ac00f022ca9ce28))
+* Extend SQL registry config with a sqlalchemy_config_kwargs key ([#3997](https://github.com/feast-dev/feast/issues/3997)) ([21931d5](https://github.com/feast-dev/feast/commit/21931d59f8a2f8b69383de0dd371a780149ccda8))
+* Feature Server image startup in OpenShift clusters ([#4096](https://github.com/feast-dev/feast/issues/4096)) ([9efb243](https://github.com/feast-dev/feast/commit/9efb243c548b075ca8288e04b09b84a9fa49dc7c))
+* Fix copy method for StreamFeatureView ([#3951](https://github.com/feast-dev/feast/issues/3951)) ([cf06704](https://github.com/feast-dev/feast/commit/cf06704bd58c77931679f1c0c7e44de7042f931f))
+* Fix for materializing entityless feature views in Snowflake ([#3961](https://github.com/feast-dev/feast/issues/3961)) ([1e64c77](https://github.com/feast-dev/feast/commit/1e64c77e1e146f952f450db9370e2da5c85a8500))
+* Fix type mapping spark ([#4071](https://github.com/feast-dev/feast/issues/4071)) ([3afa78e](https://github.com/feast-dev/feast/commit/3afa78e454b5478b041f1182edcebace916ef67b))
+* Fix typo as the cli does not support shortcut-f option. ([#3954](https://github.com/feast-dev/feast/issues/3954)) ([dd79dbb](https://github.com/feast-dev/feast/commit/dd79dbbac90caaf0617a5046c84a2618e532980b))
+* Get container host addresses from testcontainers ([#3946](https://github.com/feast-dev/feast/issues/3946)) ([2cf1a0f](https://github.com/feast-dev/feast/commit/2cf1a0fa9efbceca2e79c5e375796696e248e3d9))
+* Handle ComplexFeastType to None comparison ([#3876](https://github.com/feast-dev/feast/issues/3876)) ([fa8492d](https://github.com/feast-dev/feast/commit/fa8492dfe7f38ab493a8d35a412ec9334a0ff6b9))
+* Hashlib md5 errors in FIPS for python 3.9+ ([#4019](https://github.com/feast-dev/feast/issues/4019)) ([6d9156b](https://github.com/feast-dev/feast/commit/6d9156b3d6372d654048ea2bfb7eec3f3908d038))
+* Making the query_timeout variable as optional int because upstream is considered to be optional ([#4092](https://github.com/feast-dev/feast/issues/4092)) ([fd5b620](https://github.com/feast-dev/feast/commit/fd5b620b2c56c56286a5899b271da426c1a4ef67))
+* Move gRPC dependencies to an extra ([#3900](https://github.com/feast-dev/feast/issues/3900)) ([f93c5fd](https://github.com/feast-dev/feast/commit/f93c5fd4b8bd0031942c4f6ba4e84ebc54be8522))
+* Prevent spamming pull busybox from dockerhub ([#3923](https://github.com/feast-dev/feast/issues/3923)) ([7153cad](https://github.com/feast-dev/feast/commit/7153cad6082edfded96999c49ee1bdc9329e11c3))
+* Quickstart notebook example ([#3976](https://github.com/feast-dev/feast/issues/3976)) ([b023aa5](https://github.com/feast-dev/feast/commit/b023aa5817bffe235f460c5df879141bb5945edb))
+* Raise error when not able read of file source spark source ([#4005](https://github.com/feast-dev/feast/issues/4005)) ([34cabfb](https://github.com/feast-dev/feast/commit/34cabfb29a2692180dc6b6dda8bba9062beca4d2))
+* remove not use input parameter in spark source ([#3980](https://github.com/feast-dev/feast/issues/3980)) ([7c90882](https://github.com/feast-dev/feast/commit/7c908822f8d9f5e32ab17d96e6b5dd79e5b59b3e))
+* Remove parentheses in pull_latest_from_table_or_query ([#4026](https://github.com/feast-dev/feast/issues/4026)) ([dc4671e](https://github.com/feast-dev/feast/commit/dc4671ed7e28b4157112a81ee0a70925d02db8e8))
+* Remove proto-plus imports ([#4044](https://github.com/feast-dev/feast/issues/4044)) ([ad8f572](https://github.com/feast-dev/feast/commit/ad8f5721af6d8ad8b7539b91e0616ebf6e47f47b))
+* Remove unnecessary dependency on mysqlclient ([#3925](https://github.com/feast-dev/feast/issues/3925)) ([f494f02](https://github.com/feast-dev/feast/commit/f494f02e1254b91b56b0b69f4a15edafe8d7291a))
+* Restore label check for all actions using pull_request_target ([#3978](https://github.com/feast-dev/feast/issues/3978)) ([591ba4e](https://github.com/feast-dev/feast/commit/591ba4e39842b5fbb49db32be4fce28e6d520d93))
+* Revert mypy config ([#3952](https://github.com/feast-dev/feast/issues/3952)) ([6b8e96c](https://github.com/feast-dev/feast/commit/6b8e96c982a50587a13216666085fc61494cdfc9))
+* Rewrite Spark materialization engine to use mapInPandas ([#3936](https://github.com/feast-dev/feast/issues/3936)) ([dbb59ba](https://github.com/feast-dev/feast/commit/dbb59ba0932e5962b34b14e7218a1ddae86a9686))
+* Run feature server w/o gunicorn on windows ([#4024](https://github.com/feast-dev/feast/issues/4024)) ([584e9b1](https://github.com/feast-dev/feast/commit/584e9b1be9452158d9104133a24ff29d3976f9ed))
+* SqlRegistry _apply_object update statement ([#4042](https://github.com/feast-dev/feast/issues/4042)) ([ef62def](https://github.com/feast-dev/feast/commit/ef62defbd80172ba3c536c413388234707278be1))
+* Substrait ODFVs for online ([#4064](https://github.com/feast-dev/feast/issues/4064)) ([26391b0](https://github.com/feast-dev/feast/commit/26391b07605794bcb0eb6cdec6d59bd94720bba6))
+* Swap security label check on the PR title validation job to explicit permissions instead ([#3987](https://github.com/feast-dev/feast/issues/3987)) ([f604af9](https://github.com/feast-dev/feast/commit/f604af9ebf56ebd88b4e6ef541fdc20de2cc5b8c))
+* Transformation server doesn't generate files from proto ([#3902](https://github.com/feast-dev/feast/issues/3902)) ([d3a2a45](https://github.com/feast-dev/feast/commit/d3a2a45d9bc2b690a7aa784ec7b0411e91244dab))
+* Trino as an OfflineStore Access Denied when BasicAuthenticaion ([#3898](https://github.com/feast-dev/feast/issues/3898)) ([49d2988](https://github.com/feast-dev/feast/commit/49d2988a562c66b3949cf2368fe44ed41e767eab))
+* Trying to import pyspark lazily to avoid the dependency on the library ([#4091](https://github.com/feast-dev/feast/issues/4091)) ([a05cdbc](https://github.com/feast-dev/feast/commit/a05cdbcd38d80ce1abfff7d93bef9df589dbd61c))
+* Typo Correction in Feast UI Readme ([#3939](https://github.com/feast-dev/feast/issues/3939)) ([c16e5af](https://github.com/feast-dev/feast/commit/c16e5afcc5273b0c26b79dd4e233a28618ac490a))
+* Update actions/setup-python from v3 to v4 ([#4003](https://github.com/feast-dev/feast/issues/4003)) ([ee4c4f1](https://github.com/feast-dev/feast/commit/ee4c4f1ca486facc14e13ad0dbe7c9cc7c82d832))
+* Update typeguard version to >=4.0.0 ([#3837](https://github.com/feast-dev/feast/issues/3837)) ([dd96150](https://github.com/feast-dev/feast/commit/dd96150e2a5829401f793a51da4b3594677e570d))
+* Upgrade sqlalchemy from 1.x to 2.x regarding PVE-2022-51668. ([#4065](https://github.com/feast-dev/feast/issues/4065)) ([ec4c15c](https://github.com/feast-dev/feast/commit/ec4c15c0104fa8f4cebdbf29f9e067baab07b09b))
+* Use CopyFrom() instead of __deepycopy__() for creating a copy of protobuf object. ([#3999](https://github.com/feast-dev/feast/issues/3999)) ([5561b30](https://github.com/feast-dev/feast/commit/5561b306d8c7b43851f5f411e1c4f4f34d99933f))
+* Using version args to install the correct feast version ([#3953](https://github.com/feast-dev/feast/issues/3953)) ([b83a702](https://github.com/feast-dev/feast/commit/b83a70227c6afe7258328ff5847a26b526d0b5df))
+* Verify the existence of Registry tables in snowflake before calling CREATE sql command. Allow read-only user to call feast apply. ([#3851](https://github.com/feast-dev/feast/issues/3851)) ([9a3590e](https://github.com/feast-dev/feast/commit/9a3590ea771ca3c3224f5e1a833453144e54284e))
+
+
+### Features
+
+* Add duckdb offline store ([#3981](https://github.com/feast-dev/feast/issues/3981)) ([161547b](https://github.com/feast-dev/feast/commit/161547b167c7a9b2d53517d498acbe50d9298a40))
+* Add Entity df in format of a Spark Dataframe instead of just pd.DataFrame or string for SparkOfflineStore ([#3988](https://github.com/feast-dev/feast/issues/3988)) ([43b2c28](https://github.com/feast-dev/feast/commit/43b2c287705c2a3e882517524229f155c9ce0a01))
+* Add gRPC Registry Server ([#3924](https://github.com/feast-dev/feast/issues/3924)) ([373e624](https://github.com/feast-dev/feast/commit/373e624abb8779b8a60d30aa08d25414d987bb1b))
+* Add local tests for s3 registry using minio ([#4029](https://github.com/feast-dev/feast/issues/4029)) ([d82d1ec](https://github.com/feast-dev/feast/commit/d82d1ecb534ab35b901c36e920666196eae0ac79))
+* Add python bytes to array type conversion support proto ([#3874](https://github.com/feast-dev/feast/issues/3874)) ([8688acd](https://github.com/feast-dev/feast/commit/8688acd1731aa04b041090c7b1c049bfba1717ed))
+* Add python client for remote registry server ([#3941](https://github.com/feast-dev/feast/issues/3941)) ([42a7b81](https://github.com/feast-dev/feast/commit/42a7b8170d6dc994055c67989046d11c238af40f))
+* Add Substrait-based ODFV transformation ([#3969](https://github.com/feast-dev/feast/issues/3969)) ([9e58bd4](https://github.com/feast-dev/feast/commit/9e58bd463f7ca2b4982708cb1e1250f587ecfb68))
+* Add support for arrays in snowflake ([#3769](https://github.com/feast-dev/feast/issues/3769)) ([8d6bec8](https://github.com/feast-dev/feast/commit/8d6bec8fc47986c84f366ce3edfe7d03fa6b2e9f))
+* Added delete_table to redis online store ([#3857](https://github.com/feast-dev/feast/issues/3857)) ([03dae13](https://github.com/feast-dev/feast/commit/03dae13aa60c072b171c7f21d4e795eaaad18e55))
+* Adding support for Native Python feature transformations for ODFVs ([#4045](https://github.com/feast-dev/feast/issues/4045)) ([73bc853](https://github.com/feast-dev/feast/commit/73bc85351a9202d3db93907e8206d68123ee5baa))
+* Bumping requirements ([#4079](https://github.com/feast-dev/feast/issues/4079)) ([1943056](https://github.com/feast-dev/feast/commit/194305631bbb6cca251dbb46df5b5575ffb2391b))
+* Decouple transformation types from ODFVs ([#3949](https://github.com/feast-dev/feast/issues/3949)) ([0a9fae8](https://github.com/feast-dev/feast/commit/0a9fae8fd42e7348365ef902038f3f71f977ef3e))
+* Dropping Python 3.8 from local integration tests and integration tests ([#3994](https://github.com/feast-dev/feast/issues/3994)) ([817995c](https://github.com/feast-dev/feast/commit/817995c12588cc35c53d1ad487efaaf53da287be))
+* Dropping python 3.8 requirements files from the project. ([#4021](https://github.com/feast-dev/feast/issues/4021)) ([f09c612](https://github.com/feast-dev/feast/commit/f09c612d046dfa56e9c616ff68c05823ce0f3bb6))
+* Dropping the support for python 3.8 version from feast ([#4010](https://github.com/feast-dev/feast/issues/4010)) ([a0f7472](https://github.com/feast-dev/feast/commit/a0f7472f200300f3a45aa404922dd67bb4ad237f))
+* Dropping unit tests for Python 3.8 ([#3989](https://github.com/feast-dev/feast/issues/3989)) ([60f24f9](https://github.com/feast-dev/feast/commit/60f24f9ed16a216acb0f3642892dea73690ca29f))
+* Enable Arrow-based columnar data transfers  ([#3996](https://github.com/feast-dev/feast/issues/3996)) ([d8d7567](https://github.com/feast-dev/feast/commit/d8d75676cbaf565b6a6a097f33c49f56b852dcd7))
+* Enable Vector database and retrieve_online_documents API ([#4061](https://github.com/feast-dev/feast/issues/4061)) ([ec19036](https://github.com/feast-dev/feast/commit/ec19036fcc4c77084a2dd5aae5576f8f43393eba))
+* Kubernetes materialization engine written based on bytewax ([#4087](https://github.com/feast-dev/feast/issues/4087)) ([7617bdb](https://github.com/feast-dev/feast/commit/7617bdb7f4222edb69893c37621bd87b940b3227))
+* Lint with ruff ([#4043](https://github.com/feast-dev/feast/issues/4043)) ([7f1557b](https://github.com/feast-dev/feast/commit/7f1557b348b7935e3586c90c8dec15fdf6cd8665))
+* Make arrow primary interchange for offline ODFV execution ([#4083](https://github.com/feast-dev/feast/issues/4083)) ([9ed0a09](https://github.com/feast-dev/feast/commit/9ed0a09746aca0eb73c6e214f082e0e3887ff836))
+* Pandas v2 compatibility ([#3957](https://github.com/feast-dev/feast/issues/3957)) ([64459ad](https://github.com/feast-dev/feast/commit/64459ad1b5ed4a782b7ce87fcec3012e00408c74))
+* Pull duckdb from contribs, add to CI ([#4059](https://github.com/feast-dev/feast/issues/4059)) ([318a2b8](https://github.com/feast-dev/feast/commit/318a2b8bfc94f10c81206071fcb1d41f19683288))
+* Refactor ODFV schema inference ([#4076](https://github.com/feast-dev/feast/issues/4076)) ([c50a9ff](https://github.com/feast-dev/feast/commit/c50a9ff783fa400542422990ff835da930bcb6bf))
+* Refactor registry caching logic into a separate class ([#3943](https://github.com/feast-dev/feast/issues/3943)) ([924f944](https://github.com/feast-dev/feast/commit/924f9441107b8e36a3d5c6f8b16ed24f9a03b867))
+* Rename OnDemandTransformations to Transformations ([#4038](https://github.com/feast-dev/feast/issues/4038)) ([9b98eaf](https://github.com/feast-dev/feast/commit/9b98eafccbf39b41186bfb3ebd36af20d57bd509))
+* Revert updating dependencies so that feast can be run on 3.11. ([#3968](https://github.com/feast-dev/feast/issues/3968)) ([d3c68fb](https://github.com/feast-dev/feast/commit/d3c68fb8646b29032cb67b8c8e6a8c0aa7a821c7)), closes [#3958](https://github.com/feast-dev/feast/issues/3958)
+* Rewrite ibis point-in-time-join w/o feast abstractions ([#4023](https://github.com/feast-dev/feast/issues/4023)) ([3980e0c](https://github.com/feast-dev/feast/commit/3980e0c9a762a6ec3bcee5a0e9cdf532994bb1c9))
+* Support s3gov schema by snowflake offline store during materialization ([#3891](https://github.com/feast-dev/feast/issues/3891)) ([ea8ad17](https://github.com/feast-dev/feast/commit/ea8ad1731a5ebe798b11181fc0027f7cac0e1526))
+* Update odfv test ([#4054](https://github.com/feast-dev/feast/issues/4054)) ([afd52b8](https://github.com/feast-dev/feast/commit/afd52b8803d7660a90f382d2c1ad7705608c861b))
+* Update pyproject.toml to use Python 3.9 as default ([#4011](https://github.com/feast-dev/feast/issues/4011)) ([277b891](https://github.com/feast-dev/feast/commit/277b891ffa1193914b123672010e588573dcaa98))
+* Update the Pydantic from v1 to v2 ([#3948](https://github.com/feast-dev/feast/issues/3948)) ([ec11a7c](https://github.com/feast-dev/feast/commit/ec11a7cb8d56d8e2e5cda07e06b4c98dcc9d2ba3))
+* Updating dependencies so that feast can be run on 3.11. ([#3958](https://github.com/feast-dev/feast/issues/3958)) ([59639db](https://github.com/feast-dev/feast/commit/59639dbb0272aacd2201cb5f65b01445013db6e6))
+* Updating protos to separate transformation ([#4018](https://github.com/feast-dev/feast/issues/4018)) ([c58ef74](https://github.com/feast-dev/feast/commit/c58ef74c18554d823f7957bf602184c744bb7ed7))
+
+
+### Reverts
+
+* Reverting bumping requirements ([#4081](https://github.com/feast-dev/feast/issues/4081)) ([1ba65b4](https://github.com/feast-dev/feast/commit/1ba65b4e13a2af3e9cea879d1c1e48891a0f0610)), closes [#4079](https://github.com/feast-dev/feast/issues/4079)
+* Verify the existence of Registry tables in snowflake… ([#3907](https://github.com/feast-dev/feast/issues/3907)) ([c0d358a](https://github.com/feast-dev/feast/commit/c0d358a49d5f576bb9f1017d1ee0db2d6cd5f1a5)), closes [#3851](https://github.com/feast-dev/feast/issues/3851)
+
 # [0.35.0](https://github.com/feast-dev/feast/compare/v0.34.0...v0.35.0) (2024-01-13)
 
 
diff --git a/Makefile b/Makefile
index 4b85c0e448..6fcf95dc7d 100644
--- a/Makefile
+++ b/Makefile
@@ -28,7 +28,7 @@ format: format-python format-java
 
 lint: lint-python lint-java
 
-test: test-python test-java
+test: test-python-unit test-java
 
 protos: compile-protos-python compile-protos-docs
 
@@ -38,7 +38,8 @@ build: protos build-java build-docker
 
 install-python-ci-dependencies:
 	python -m piptools sync sdk/python/requirements/py$(PYTHON)-ci-requirements.txt
-	COMPILE_GO=true python setup.py develop
+	pip install --no-deps -e .
+	python setup.py build_python_protos --inplace
 
 lock-python-ci-dependencies:
 	python -m piptools compile -U --extra ci --output-file sdk/python/requirements/py$(PYTHON)-ci-requirements.txt
@@ -62,32 +63,26 @@ benchmark-python:
 benchmark-python-local:
 	FEAST_USAGE=False IS_TEST=True FEAST_IS_LOCAL_TEST=True python -m pytest --integration --benchmark  --benchmark-autosave --benchmark-save-data sdk/python/tests
 
-test-python:
-	FEAST_USAGE=False \
-	IS_TEST=True \
-	python -m pytest -n 8 sdk/python/tests \
+test-python-unit:
+	python -m pytest -n 8 --color=yes sdk/python/tests
 
 test-python-integration:
-	FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration sdk/python/tests
+	python -m pytest -n 8 --integration -k "not minio_registry" --color=yes --durations=5 --timeout=1200 --timeout_method=thread sdk/python/tests
 
 test-python-integration-local:
 	@(docker info > /dev/null 2>&1 && \
-		FEAST_USAGE=False \
-		IS_TEST=True \
 		FEAST_IS_LOCAL_TEST=True \
 		FEAST_LOCAL_ONLINE_CONTAINER=True \
-		python -m pytest -n 8 --integration \
+		python -m pytest -n 8 --color=yes --integration \
 			-k "not gcs_registry and \
  				not s3_registry and \
  				not test_lambda_materialization and \
- 				not test_snowflake" \
+ 				not test_snowflake_materialization" \
 		sdk/python/tests \
 	) || echo "This script uses Docker, and it isn't running - please start the Docker Daemon and try again!";
 
 test-python-integration-container:
 	@(docker info > /dev/null 2>&1 && \
-		FEAST_USAGE=False \
-		IS_TEST=True \
 		FEAST_LOCAL_ONLINE_CONTAINER=True \
 		python -m pytest -n 8 --integration sdk/python/tests \
 	) || echo "This script uses Docker, and it isn't running - please start the Docker Daemon and try again!";
@@ -96,7 +91,6 @@ test-python-universal-spark:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.spark_repo_configuration \
 	PYTEST_PLUGINS=feast.infra.offline_stores.contrib.spark_offline_store.tests \
- 	FEAST_USAGE=False IS_TEST=True \
  	python -m pytest -n 8 --integration \
  	 	-k "not test_historical_retrieval_fails_on_validation and \
 			not test_historical_retrieval_with_validation and \
@@ -120,7 +114,6 @@ test-python-universal-trino:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.trino_repo_configuration \
 	PYTEST_PLUGINS=feast.infra.offline_stores.contrib.trino_offline_store.tests \
- 	FEAST_USAGE=False IS_TEST=True \
  	python -m pytest -n 8 --integration \
  	 	-k "not test_historical_retrieval_fails_on_validation and \
 			not test_historical_retrieval_with_validation and \
@@ -147,7 +140,6 @@ test-python-universal-mssql:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.mssql_repo_configuration \
 	PYTEST_PLUGINS=feast.infra.offline_stores.contrib.mssql_offline_store.tests \
- 	FEAST_USAGE=False IS_TEST=True \
 	FEAST_LOCAL_ONLINE_CONTAINER=True \
  	python -m pytest -n 8 --integration \
  	 	-k "not gcs_registry and \
@@ -165,7 +157,6 @@ test-python-universal-athena:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.athena_repo_configuration \
 	PYTEST_PLUGINS=feast.infra.offline_stores.contrib.athena_offline_store.tests \
- 	FEAST_USAGE=False IS_TEST=True \
 	ATHENA_REGION=ap-northeast-2 \
 	ATHENA_DATA_SOURCE=AwsDataCatalog \
 	ATHENA_DATABASE=default \
@@ -185,13 +176,11 @@ test-python-universal-athena:
 			not s3_registry and \
 			not test_snowflake" \
 	sdk/python/tests
-
+			
 test-python-universal-postgres-offline:
 	PYTHONPATH='.' \
 		FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.offline_stores.contrib.postgres_repo_configuration \
 		PYTEST_PLUGINS=sdk.python.feast.infra.offline_stores.contrib.postgres_offline_store.tests \
-		FEAST_USAGE=False \
-		IS_TEST=True \
 		python -m pytest -n 8 --integration \
  			-k "not test_historical_retrieval_with_validation and \
 				not test_historical_features_persisting and \
@@ -211,9 +200,7 @@ test-python-universal-postgres-offline:
 test-python-universal-postgres-online:
 	PYTHONPATH='.' \
 		FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.online_stores.contrib.postgres_repo_configuration \
-		PYTEST_PLUGINS=sdk.python.feast.infra.offline_stores.contrib.postgres_offline_store.tests \
-		FEAST_USAGE=False \
-		IS_TEST=True \
+		PYTEST_PLUGINS=sdk.python.tests.integration.feature_repos.universal.online_store.postgres \
 		python -m pytest -n 8 --integration \
  			-k "not test_universal_cli and \
  				not test_go_feature_server and \
@@ -233,8 +220,6 @@ test-python-universal-postgres-online:
 	PYTHONPATH='.' \
 		FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.online_stores.contrib.mysql_repo_configuration \
 		PYTEST_PLUGINS=sdk.python.tests.integration.feature_repos.universal.online_store.mysql \
-		FEAST_USAGE=False \
-		IS_TEST=True \
 		python -m pytest -n 8 --integration \
  			-k "not test_universal_cli and \
  				not test_go_feature_server and \
@@ -254,8 +239,6 @@ test-python-universal-cassandra:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.online_stores.contrib.cassandra_repo_configuration \
 	PYTEST_PLUGINS=sdk.python.tests.integration.feature_repos.universal.online_store.cassandra \
-	FEAST_USAGE=False \
-	IS_TEST=True \
 	python -m pytest -x --integration \
 	sdk/python/tests
 
@@ -263,8 +246,6 @@ test-python-universal-hazelcast:
 	PYTHONPATH='.' \
 		FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.online_stores.contrib.hazelcast_repo_configuration \
 		PYTEST_PLUGINS=sdk.python.tests.integration.feature_repos.universal.online_store.hazelcast \
-		FEAST_USAGE=False \
-		IS_TEST=True \
 		python -m pytest -n 8 --integration \
  			-k "not test_universal_cli and \
  				not test_go_feature_server and \
@@ -284,8 +265,6 @@ test-python-universal-cassandra-no-cloud-providers:
 	PYTHONPATH='.' \
 	FULL_REPO_CONFIGS_MODULE=sdk.python.feast.infra.online_stores.contrib.cassandra_repo_configuration \
 	PYTEST_PLUGINS=sdk.python.tests.integration.feature_repos.universal.online_store.cassandra \
-	FEAST_USAGE=False \
-	IS_TEST=True \
 	python -m pytest -x --integration \
 	-k "not test_lambda_materialization_consistency   and \
 	  not test_apply_entity_integration               and \
@@ -300,21 +279,16 @@ test-python-universal-cassandra-no-cloud-providers:
 	sdk/python/tests
 
 test-python-universal:
-	FEAST_USAGE=False IS_TEST=True python -m pytest -n 8 --integration sdk/python/tests
+	python -m pytest -n 8 --integration sdk/python/tests
 
 format-python:
-	# Sort
-	cd ${ROOT_DIR}/sdk/python; python -m isort feast/ tests/
-
-	# Format
-	cd ${ROOT_DIR}/sdk/python; python -m black --target-version py38 feast tests
+	cd ${ROOT_DIR}/sdk/python; python -m ruff check --fix feast/ tests/
+	cd ${ROOT_DIR}/sdk/python; python -m ruff format feast/ tests/
 
 lint-python:
-	cd ${ROOT_DIR}/sdk/python; python -m mypy
-	cd ${ROOT_DIR}/sdk/python; python -m isort feast/ tests/ --check-only
-	cd ${ROOT_DIR}/sdk/python; python -m flake8 feast/ tests/
-	cd ${ROOT_DIR}/sdk/python; python -m black --check feast tests
-
+	cd ${ROOT_DIR}/sdk/python; python -m mypy feast
+	cd ${ROOT_DIR}/sdk/python; python -m ruff check feast/ tests/
+	cd ${ROOT_DIR}/sdk/python; python -m ruff format --check feast/ tests
 # Java
 
 install-java-ci-dependencies:
diff --git a/community/maintainers.md b/community/maintainers.md
index e66dbeb762..0b3d4ab648 100644
--- a/community/maintainers.md
+++ b/community/maintainers.md
@@ -9,10 +9,12 @@ In alphabetical order
 | Name           | GitHub Username  | Email                       | Organization       |
 | -------------- | ---------------- |-----------------------------| ------------------ |
 | Achal Shah     | `achals`         | achals@gmail.com            | Tecton             |
-| Felix Wang     | `felixwang9817`  | wangfelix98@gmail.com       | Tecton             |
-| Kevin Zhang    | `kevjumba`       | kevin.zhang.13499@gmail.com | Tecton             |
-| Miles Adkins   | `sfc-gh-madkins` | miles.adkins@snowflake.com  | Snowflake          |
-| Willem Pienaar | `woop`           | will.pienaar@gmail.com      | Tecton             |
+| Edson Tirelli   | `etirelli`       | ed.tirelli@gmail.com          | Red Hat          |
+| Francisco Javier Arceo   | `franciscojavierarceo`       | arceofrancisco@gmail.com          | Affirm          |
+| Hao Xu   | `HaoXuAI`       | sduxuhao@gmail.com          | JPMorgan          |
+| Jeremy Ary   | `jeremyary`       | jeremy.ary@gmail.com          | Red Hat          |
+| Shuchu Han  | `shuchu`       | shuchu.han@gmail.com          | Independent          |
+| Willem Pienaar | `woop`           | will.pienaar@gmail.com      | Cleric             |
 | Zhiling Chen   | `zhilingc`       | chnzhlng@gmail.com          | GetGround          |
 
 ## Emeritus Maintainers
@@ -29,3 +31,6 @@ In alphabetical order
 | Danny Chiao         | adchia          | danny@tecton.ai             | Tecton            |
 | David Liu           | mavysavydav     | davidyliuliu@gmail.com      | Twitter           |
 | Matt Delacour       | MattDelac       | mdelacour@hey.com           | Shopify           |
+| Miles Adkins        | sfc-gh-madkins  | miles.adkins@snowflake.com | Snowflake        |
+| Felix Wang     | `felixwang9817`  | wangfelix98@gmail.com       | Tecton             |
+| Kevin Zhang    | `kevjumba`       | kevin.zhang.13499@gmail.com | Tecton             |
diff --git a/docs/SUMMARY.md b/docs/SUMMARY.md
index c80ded2adf..8affea898e 100644
--- a/docs/SUMMARY.md
+++ b/docs/SUMMARY.md
@@ -99,6 +99,7 @@
   * [MySQL (contrib)](reference/online-stores/mysql.md)
   * [Rockset (contrib)](reference/online-stores/rockset.md)
   * [Hazelcast (contrib)](reference/online-stores/hazelcast.md)
+  * [ScyllaDB (contrib)](reference/online-stores/scylladb.md)
 * [Providers](reference/providers/README.md)
   * [Local](reference/providers/local.md)
   * [Google Cloud Platform](reference/providers/google-cloud-platform.md)
diff --git a/docs/getting-started/concepts/registry.md b/docs/getting-started/concepts/registry.md
index f7d4a5b3e1..8ac32ce87b 100644
--- a/docs/getting-started/concepts/registry.md
+++ b/docs/getting-started/concepts/registry.md
@@ -57,6 +57,9 @@ registry:
     registry_type: sql
     path: postgresql://postgres:mysecretpassword@127.0.0.1:55001/feast
     cache_ttl_seconds: 60
+    sqlalchemy_config_kwargs:
+        echo: false
+        pool_pre_ping: true
 ```
 
 This supports any SQLAlchemy compatible database as a backend. The exact schema can be seen in [sql.py](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/infra/registry/sql.py)
diff --git a/docs/project/development-guide.md b/docs/project/development-guide.md
index 931d0243d2..2d4ab0c7c6 100644
--- a/docs/project/development-guide.md
+++ b/docs/project/development-guide.md
@@ -154,12 +154,22 @@ pip install -e ".[dev]"
 
 This will allow the installed feast version to automatically reflect changes to your local development version of Feast without needing to reinstall everytime you make code changes.
 
+10. Compile the protubufs
+```sh
+make compile-protos-python
+```
+
+11. Spin up Docker Image
+```sh
+docker build -t docker-whale -f ./sdk/python/feast/infra/feature_servers/multicloud/Dockerfile .
+```
+
 ### Code Style & Linting
 Feast Python SDK / CLI codebase:
 - Conforms to [Black code style](https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html)
 - Has type annotations as enforced by `mypy`
-- Has imports sorted by `isort`
-- Is lintable by `flake8`
+- Has imports sorted by `ruff` (see [isort (I) rules](https://docs.astral.sh/ruff/rules/#isort-i))
+- Is lintable by `ruff`
 
 To ensure your Python code conforms to Feast Python code standards:
 - Autoformat your code to conform to the code style:
@@ -177,7 +187,7 @@ make lint-python
 ### Unit Tests
 Unit tests (`pytest`) for the Feast Python SDK / CLI can run as follows:
 ```sh
-make test-python
+make test-python-unit
 ```
 
 > :warning: Local configuration can interfere with Unit tests and cause them to fail:
diff --git a/docs/reference/alpha-web-ui.md b/docs/reference/alpha-web-ui.md
index 7d21a3d45d..398c8de0ae 100644
--- a/docs/reference/alpha-web-ui.md
+++ b/docs/reference/alpha-web-ui.md
@@ -85,6 +85,8 @@ When you start the React app, it will look for `project-list.json` to find a lis
 }
 ```
 
+* **Note** - `registryPath` only supports a file location or a url.
+
 Then start the React App
 
 ```bash
diff --git a/docs/reference/data-sources/overview.md b/docs/reference/data-sources/overview.md
index 112d4168d3..302c19b049 100644
--- a/docs/reference/data-sources/overview.md
+++ b/docs/reference/data-sources/overview.md
@@ -19,13 +19,13 @@ Details for each specific data source can be found [here](README.md).
 Below is a matrix indicating which data sources support which types.
 
 | | File | BigQuery | Snowflake | Redshift | Postgres | Spark | Trino |
-| :-------------------------------- | :-- | :-- | :-- | :-- | :-- | :-- | :-- |
-| `bytes`     | yes | yes | yes | yes | yes | yes | yes |
-| `string`    | yes | yes | yes | yes | yes | yes | yes |
-| `int32`     | yes | yes | yes | yes | yes | yes | yes |
-| `int64`     | yes | yes | yes | yes | yes | yes | yes |
-| `float32`   | yes | yes | yes | yes | yes | yes | yes |
-| `float64`   | yes | yes | yes | yes | yes | yes | yes |
-| `bool`      | yes | yes | yes | yes | yes | yes | yes |
-| `timestamp` | yes | yes | yes | yes | yes | yes | yes |
-| array types | yes | yes | no  | no  | yes | yes | no  |
\ No newline at end of file
+| :-------------------------------- | :-- | :-- |:----------| :-- | :-- | :-- | :-- |
+| `bytes`     | yes | yes | yes       | yes | yes | yes | yes |
+| `string`    | yes | yes | yes       | yes | yes | yes | yes |
+| `int32`     | yes | yes | yes       | yes | yes | yes | yes |
+| `int64`     | yes | yes | yes       | yes | yes | yes | yes |
+| `float32`   | yes | yes | yes       | yes | yes | yes | yes |
+| `float64`   | yes | yes | yes       | yes | yes | yes | yes |
+| `bool`      | yes | yes | yes       | yes | yes | yes | yes |
+| `timestamp` | yes | yes | yes       | yes | yes | yes | yes |
+| array types | yes | yes | yes       | no  | yes | yes | no  |
\ No newline at end of file
diff --git a/docs/reference/data-sources/snowflake.md b/docs/reference/data-sources/snowflake.md
index 82bf5cb4d4..98a56e09f8 100644
--- a/docs/reference/data-sources/snowflake.md
+++ b/docs/reference/data-sources/snowflake.md
@@ -46,5 +46,5 @@ The full set of configuration options is available [here](https://rtd.feast.dev/
 
 ## Supported Types
 
-Snowflake data sources support all eight primitive types, but currently do not support array types.
+Snowflake data sources support all eight primitive types. Array types are also supported but not with type inference.
 For a comparison against other batch data sources, please see [here](overview.md#functionality-matrix).
diff --git a/docs/reference/offline-stores/spark.md b/docs/reference/offline-stores/spark.md
index ae5ea78071..2e2facba64 100644
--- a/docs/reference/offline-stores/spark.md
+++ b/docs/reference/offline-stores/spark.md
@@ -4,7 +4,7 @@
 
 The Spark offline store provides support for reading [SparkSources](../data-sources/spark.md).
 
-* Entity dataframes can be provided as a SQL query or can be provided as a Pandas dataframe. A Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.
+* Entity dataframes can be provided as a SQL query, Pandas dataframe or can be provided as a Pyspark dataframe. A Pandas dataframes will be converted to a Spark dataframe and processed as a temporary view.
 
 ## Disclaimer
 
@@ -30,6 +30,8 @@ offline_store:
         spark.sql.catalogImplementation: "hive"
         spark.sql.parser.quotedRegexColumnNames: "true"
         spark.sql.session.timeZone: "UTC"
+        spark.sql.execution.arrow.fallback.enabled: "true"
+        spark.sql.execution.arrow.pyspark.enabled: "true"
 online_store:
     path: data/online_store.db
 ```
diff --git a/docs/reference/online-stores/README.md b/docs/reference/online-stores/README.md
index f86e6f6a1d..d90bfcf163 100644
--- a/docs/reference/online-stores/README.md
+++ b/docs/reference/online-stores/README.md
@@ -54,4 +54,6 @@ Please see [Online Store](../../getting-started/architecture-and-components/onli
 [hazelcast.md](hazelcast.md)
 {% endcontent-ref %}
 
-
+{% content-ref url="scylladb.md" %}
+[scylladb.md](scylladb.md)
+{% endcontent-ref %}
diff --git a/docs/reference/online-stores/hazelcast.md b/docs/reference/online-stores/hazelcast.md
index ef65f42b31..e7a6cf757c 100644
--- a/docs/reference/online-stores/hazelcast.md
+++ b/docs/reference/online-stores/hazelcast.md
@@ -2,17 +2,17 @@
 
 ## Description
 
-Hazelcast online store is in alpha development.
+The Hazelcast online store is in alpha development.
 
 The [Hazelcast](htpps://hazelcast.com) online store provides support for materializing feature values into a Hazelcast cluster for serving online features in real-time.
-In order to use Hazelcast as online store, you need to have a running Hazelcast cluster. You can create a cluster using Hazelcast Viridian Serverless. See this [getting started](https://hazelcast.com/get-started/) page for more details.
+In order to use Hazelcast as an online store, you need to have a running Hazelcast cluster. You can create a cluster using Hazelcast Viridian Serverless. See this [getting started](https://hazelcast.com/get-started/) page for more details.
 
 * Each feature view is mapped one-to-one to a specific Hazelcast IMap
 * This implementation inherits all strengths of Hazelcast such as high availability, fault-tolerance, and data distribution.
 * Secure TSL/SSL connection is supported by Hazelcast online store.
 * You can set TTL (Time-To-Live) setting for your features in Hazelcast cluster. 
 
-Each feature view corresponds to an IMap in Hazelcast cluster and the entries in that IMap corresponds to features of entities.
+Each feature view corresponds to an IMap in Hazelcast cluster and the entries in that IMap correspond to features of entities.
 Each feature value stored separately and can be retrieved individually.
 
 ## Getting started
@@ -33,6 +33,7 @@ online_store:
   cluster_members: ["localhost:5701"]
   key_ttl_seconds: 36000
 ```
+{% endcode %}
 
 ## Functionality Matrix
 
diff --git a/docs/reference/online-stores/scylladb.md b/docs/reference/online-stores/scylladb.md
new file mode 100644
index 0000000000..e28e810e21
--- /dev/null
+++ b/docs/reference/online-stores/scylladb.md
@@ -0,0 +1,94 @@
+# ScyllaDB Cloud online store
+
+## Description
+
+ScyllaDB is a low-latency and high-performance Cassandra-compatible (uses CQL) database. You can use the existing Cassandra connector to use ScyllaDB as an online store in Feast.
+
+The [ScyllaDB](https://www.scylladb.com/) online store provides support for materializing feature values into a ScyllaDB or [ScyllaDB Cloud](https://www.scylladb.com/product/scylla-cloud/) cluster for serving online features real-time.
+
+## Getting started
+
+Install Feast with Cassandra support:
+```bash
+pip install "feast[cassandra]"
+```
+
+Create a new Feast project:
+```bash
+feast init REPO_NAME -t cassandra
+```
+
+### Example (ScyllaDB)
+
+{% code title="feature_store.yaml" %}
+```yaml
+project: scylla_feature_repo
+registry: data/registry.db
+provider: local
+online_store:
+    type: cassandra
+    hosts:
+        - 172.17.0.2
+    keyspace: feast
+    username: scylla
+    password: password
+```
+{% endcode %}
+
+### Example (ScyllaDB Cloud)
+
+{% code title="feature_store.yaml" %}
+```yaml
+project: scylla_feature_repo
+registry: data/registry.db
+provider: local
+online_store:
+    type: cassandra
+    hosts:
+        - node-0.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
+        - node-1.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
+        - node-2.aws_us_east_1.xxxxxxxx.clusters.scylla.cloud
+    keyspace: feast
+    username: scylla
+    password: password
+```
+{% endcode %}
+
+
+The full set of configuration options is available in [CassandraOnlineStoreConfig](https://rtd.feast.dev/en/master/#feast.infra.online_stores.contrib.cassandra_online_store.cassandra_online_store.CassandraOnlineStoreConfig).
+For a full explanation of configuration options please look at file
+`sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/README.md`.
+
+Storage specifications can be found at `docs/specs/online_store_format.md`.
+
+## Functionality Matrix
+
+The set of functionality supported by online stores is described in detail [here](overview.md#functionality).
+Below is a matrix indicating which functionality is supported by the Cassandra plugin.
+
+|                                                           | Cassandra |
+| :-------------------------------------------------------- | :-------- |
+| write feature values to the online store                  | yes       |
+| read feature values from the online store                 | yes       |
+| update infrastructure (e.g. tables) in the online store   | yes       |
+| teardown infrastructure (e.g. tables) in the online store | yes       |
+| generate a plan of infrastructure changes                 | yes       |
+| support for on-demand transforms                          | yes       |
+| readable by Python SDK                                    | yes       |
+| readable by Java                                          | no        |
+| readable by Go                                            | no        |
+| support for entityless feature views                      | yes       |
+| support for concurrent writing to the same key            | no        |
+| support for ttl (time to live) at retrieval               | no        |
+| support for deleting expired data                         | no        |
+| collocated by feature view                                | yes       |
+| collocated by feature service                             | no        |
+| collocated by entity key                                  | no        |
+
+To compare this set of functionality against other online stores, please see the full [functionality matrix](overview.md#functionality-matrix).
+
+## Resources
+
+* [Sample application with ScyllaDB](https://feature-store.scylladb.com/stable/)
+* [ScyllaDB website](https://www.scylladb.com/)
+* [ScyllaDB Cloud documentation](https://cloud.docs.scylladb.com/stable/)
diff --git a/docs/reference/usage.md b/docs/reference/usage.md
index d571675d7e..8c9c904661 100644
--- a/docs/reference/usage.md
+++ b/docs/reference/usage.md
@@ -2,11 +2,11 @@
 
 ## How Feast SDK usage is measured
 
-The Feast project logs anonymous usage statistics and errors in order to inform our planning. Several client methods are tracked, beginning in Feast 0.9. Users are assigned a UUID which is sent along with the name of the method, the Feast version, the OS \(using `sys.platform`\), and the current time.
+The Feast project has a feature to log usage statistics and errors. Several client methods are tracked, beginning in Feast 0.9. Users are assigned a UUID which is sent along with the name of the method, the Feast version, the OS \(using `sys.platform`\), and the current time.
 
 The [source code](https://github.com/feast-dev/feast/blob/master/sdk/python/feast/usage.py) is available here.
 
-## How to disable usage logging
+## How to enable the usage logging
 
-Set the environment variable `FEAST_USAGE` to `False`.
+Set the environment variable `FEAST_USAGE` to `True` (in String type) and config your endpoint by the variable `FEAST_USAGE_ENDPOINT`.  
 
diff --git a/docs/tutorials/using-scalable-registry.md b/docs/tutorials/using-scalable-registry.md
index a87aedd9b9..30b8e01ed5 100644
--- a/docs/tutorials/using-scalable-registry.md
+++ b/docs/tutorials/using-scalable-registry.md
@@ -29,6 +29,9 @@ registry:
     registry_type: sql
     path: postgresql://postgres:mysecretpassword@127.0.0.1:55001/feast
     cache_ttl_seconds: 60
+    sqlalchemy_config_kwargs:
+        echo: false
+        pool_pre_ping: true
 ```
 
 Specifically, the registry_type needs to be set to sql in the registry config block. On doing so, the path should refer to the [Database URL](https://docs.sqlalchemy.org/en/14/core/engines.html#database-urls) for the database to be used, as expected by SQLAlchemy. No other additional commands are currently needed to configure this registry.
diff --git a/environment-setup.md b/environment-setup.md
new file mode 100644
index 0000000000..5dde9dfd94
--- /dev/null
+++ b/environment-setup.md
@@ -0,0 +1,23 @@
+1. install anaconda, install docker
+2. create an environment for feast, selecting python 3.9. Activate the environment:
+```bash
+conda create --name feast python=3.9
+conda activate feast
+```
+3. install dependencies:
+```bash
+pip install pip-tools
+brew install mysql
+brew install xz protobuf openssl zlib
+pip install cryptography -U
+conda install protobuf
+conda install pymssql
+pip install -e ".[dev]"
+make install-protoc-dependencies PYTHON=3.9
+make install-python-ci-dependencies PYTHON=3.9
+```
+4. start the docker daemon
+5. run unit tests:
+```bash
+make test-python-unit
+```
\ No newline at end of file
diff --git a/examples/quickstart/quickstart.ipynb b/examples/quickstart/quickstart.ipynb
index f84457ac02..9e9a0b27ca 100644
--- a/examples/quickstart/quickstart.ipynb
+++ b/examples/quickstart/quickstart.ipynb
@@ -1065,7 +1065,7 @@
         "\n",
         "- Read the [Concepts](https://docs.feast.dev/getting-started/concepts/) page to understand the Feast data model and architecture.\n",
         "- Check out our [Tutorials](https://docs.feast.dev/tutorials/tutorials-overview) section for more examples on how to use Feast.\n",
-        "- Follow our [Running Feast with Snowflake/GCP/AWS](https://docs.feast.dev/how-to-guides/feast-snowflake-gcp-aws) guide for a more in-depth tutorial on using Feast.\n",
+        "- Follow our [Running Feast with Snowflake/GCP/AWS](https://docs.feast.dev/how-to-guides/feast-snowflake-gcp-aws) guide for a more in-depth tutorial on using Feast.\n"
       ]
     }
   ],
diff --git a/go.mod b/go.mod
index 20c52d3221..1dccc1dddb 100644
--- a/go.mod
+++ b/go.mod
@@ -8,14 +8,14 @@ require (
 	github.com/apache/arrow/go/v8 v8.0.0
 	github.com/ghodss/yaml v1.0.0
 	github.com/go-redis/redis/v8 v8.11.4
-	github.com/golang/protobuf v1.5.2
+	github.com/golang/protobuf v1.5.3
 	github.com/google/uuid v1.3.0
 	github.com/mattn/go-sqlite3 v1.14.12
 	github.com/pkg/errors v0.9.1
 	github.com/spaolacci/murmur3 v1.1.0
 	github.com/stretchr/testify v1.7.0
-	google.golang.org/grpc v1.53.0
-	google.golang.org/protobuf v1.28.1
+	google.golang.org/grpc v1.56.3
+	google.golang.org/protobuf v1.33.0
 )
 
 require (
@@ -43,7 +43,7 @@ require (
 	golang.org/x/text v0.13.0 // indirect
 	golang.org/x/tools v0.6.0 // indirect
 	golang.org/x/xerrors v0.0.0-20220411194840-2f41105eb62f // indirect
-	google.golang.org/genproto v0.0.0-20230110181048-76db0878b65f // indirect
+	google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1 // indirect
 	gopkg.in/check.v1 v1.0.0-20201130134442-10cb98267c6c // indirect
 	gopkg.in/yaml.v2 v2.4.0 // indirect
 	gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c // indirect
diff --git a/go.sum b/go.sum
index 990ff9b1ba..39f2d4d514 100644
--- a/go.sum
+++ b/go.sum
@@ -35,47 +35,83 @@ cloud.google.com/go v0.102.1/go.mod h1:XZ77E9qnTEnrgEOvr4xzfdX5TRo7fB4T2F4O6+34h
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+cloud.google.com/go v0.110.0/go.mod h1:SJnCLqQ0FCFGSZMUNUf84MV3Aia54kn7pi8st7tMzaY=
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@@ -85,26 +121,42 @@ cloud.google.com/go/bigquery v1.8.0/go.mod h1:J5hqkt3O0uAFnINi6JXValWIb1v0goeZM7
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@@ -482,9 +702,11 @@ github.com/envoyproxy/go-control-plane v0.9.9-0.20210512163311-63b5d3c536b0/go.m
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 github.com/go-gl/glfw v0.0.0-20190409004039-e6da0acd62b1/go.mod h1:vR7hzQXu2zJy9AVAgeJqvqgH9Q5CA+iKCZ2gyEVpxRU=
 github.com/go-gl/glfw/v3.3/glfw v0.0.0-20191125211704-12ad95a8df72/go.mod h1:tQ2UAYgL5IevRw8kRxooKSPJfGvJ9fJQFa0TUsXzTg8=
@@ -506,10 +729,13 @@ github.com/go-kit/kit v0.8.0/go.mod h1:xBxKIO96dXMWWy0MnWVtmwkA9/13aqxPnvrjFYMA2
 github.com/go-kit/kit v0.9.0/go.mod h1:xBxKIO96dXMWWy0MnWVtmwkA9/13aqxPnvrjFYMA2as=
 github.com/go-kit/kit v0.10.0/go.mod h1:xUsJbQ/Fp4kEt7AFgCuvyX4a71u8h9jB8tj/ORgOZ7o=
 github.com/go-latex/latex v0.0.0-20210118124228-b3d85cf34e07/go.mod h1:CO1AlKB2CSIqUrmQPqA0gdRIlnLEY0gK5JGjh37zN5U=
+github.com/go-latex/latex v0.0.0-20210823091927-c0d11ff05a81/go.mod h1:SX0U8uGpxhq9o2S/CELCSUxEWWAuoCUcVCQWv7G2OCk=
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 github.com/go-logfmt/logfmt v0.5.0/go.mod h1:wCYkCAKZfumFQihp8CzCvQ3paCTfi41vtzG1KdI/P7A=
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+github.com/go-pdf/fpdf v0.5.0/go.mod h1:HzcnA+A23uwogo0tp9yU+l3V+KXhiESpt1PMayhOh5M=
+github.com/go-pdf/fpdf v0.6.0/go.mod h1:HzcnA+A23uwogo0tp9yU+l3V+KXhiESpt1PMayhOh5M=
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@@ -517,6 +743,8 @@ github.com/go-stack/stack v1.8.0/go.mod h1:v0f6uXyyMGvRgIKkXu+yp6POWl0qKG85gN/me
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+github.com/goccy/go-json v0.9.11 h1:/pAaQDLHEoCq/5FFmSKBswWmK6H0e8g4159Kc/X/nqk=
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@@ -524,6 +752,7 @@ github.com/gogo/protobuf v1.2.1/go.mod h1:hp+jE20tsWTFYpLwKvXlhS1hjn+gTNwPg2I6zV
 github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0/go.mod h1:E/TSTwGwJL78qG/PmXZO1EjYhfJinVAhrmmHX6Z8B9k=
 github.com/golang/glog v0.0.0-20160126235308-23def4e6c14b/go.mod h1:SBH7ygxi8pfUlaOkMMuAQtPIUF8ecWP5IEl/CR7VP2Q=
 github.com/golang/glog v1.0.0/go.mod h1:EWib/APOK0SL3dFbYqvxE3UYd8E6s1ouQ7iEp/0LWV4=
+github.com/golang/glog v1.1.0/go.mod h1:pfYeQZ3JWZoXTV5sFc986z3HTpwQs9At6P4ImfuP3NQ=
 github.com/golang/groupcache v0.0.0-20160516000752-02826c3e7903/go.mod h1:cIg4eruTrX1D+g88fzRXU5OdNfaM+9IcxsU14FzY7Hc=
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@@ -553,8 +782,9 @@ github.com/golang/protobuf v1.4.2/go.mod h1:oDoupMAO8OvCJWAcko0GGGIgR6R6ocIYbsSw
 github.com/golang/protobuf v1.4.3/go.mod h1:oDoupMAO8OvCJWAcko0GGGIgR6R6ocIYbsSw735rRwI=
 github.com/golang/protobuf v1.5.0/go.mod h1:FsONVRAS9T7sI+LIUmWTfcYkHO4aIWwzhcaSAoJOfIk=
 github.com/golang/protobuf v1.5.1/go.mod h1:DopwsBzvsk0Fs44TXzsVbJyPhcCPeIwnvohx4u74HPM=
-github.com/golang/protobuf v1.5.2 h1:ROPKBNFfQgOUMifHyP+KYbvpjbdoFNs+aK7DXlji0Tw=
 github.com/golang/protobuf v1.5.2/go.mod h1:XVQd3VNwM+JqD3oG2Ue2ip4fOMUkwXdXDdiuN0vRsmY=
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@@ -564,6 +794,8 @@ github.com/google/btree v1.0.0/go.mod h1:lNA+9X1NB3Zf8V7Ke586lFgjr2dZNuvo3lPJSGZ
 github.com/google/flatbuffers v2.0.5+incompatible/go.mod h1:1AeVuKshWv4vARoZatz6mlQ0JxURH0Kv5+zNeJKJCa8=
 github.com/google/flatbuffers v2.0.6+incompatible h1:XHFReMv7nFFusa+CEokzWbzaYocKXI6C7hdU5Kgh9Lw=
 github.com/google/flatbuffers v2.0.6+incompatible/go.mod h1:1AeVuKshWv4vARoZatz6mlQ0JxURH0Kv5+zNeJKJCa8=
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 github.com/google/go-cmp v0.2.0/go.mod h1:oXzfMopK8JAjlY9xF4vHSVASa0yLyX7SntLO5aqRK0M=
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@@ -585,6 +817,7 @@ github.com/google/martian v2.1.0+incompatible/go.mod h1:9I4somxYTbIHy5NJKHRl3wXi
 github.com/google/martian/v3 v3.0.0/go.mod h1:y5Zk1BBys9G+gd6Jrk0W3cC1+ELVxBWuIGO+w/tUAp0=
 github.com/google/martian/v3 v3.1.0/go.mod h1:y5Zk1BBys9G+gd6Jrk0W3cC1+ELVxBWuIGO+w/tUAp0=
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+github.com/google/martian/v3 v3.3.2/go.mod h1:oBOf6HBosgwRXnUGWUB05QECsc6uvmMiJ3+6W4l/CUk=
 github.com/google/pprof v0.0.0-20181206194817-3ea8567a2e57/go.mod h1:zfwlbNMJ+OItoe0UupaVj+oy1omPYYDuagoSzA8v9mc=
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@@ -608,6 +841,8 @@ github.com/google/uuid v1.3.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+
 github.com/googleapis/enterprise-certificate-proxy v0.0.0-20220520183353-fd19c99a87aa/go.mod h1:17drOmN3MwGY7t0e+Ei9b45FFGA3fBs3x36SsCg1hq8=
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+github.com/googleapis/enterprise-certificate-proxy v0.2.1/go.mod h1:AwSRAtLfXpU5Nm3pW+v7rGDHp09LsPtGY9MduiEsR9k=
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@@ -618,6 +853,7 @@ github.com/googleapis/gax-go/v2 v2.4.0/go.mod h1:XOTVJ59hdnfJLIP/dh8n5CGryZR2LxK
 github.com/googleapis/gax-go/v2 v2.5.1/go.mod h1:h6B0KMMFNtI2ddbGJn3T3ZbwkeT6yqEF02fYlzkUCyo=
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 github.com/googleapis/go-type-adapters v1.0.0/go.mod h1:zHW75FOG2aur7gAO2B+MLby+cLsWGBF62rFAi7WjWO4=
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@@ -669,6 +905,7 @@ github.com/jtolds/gls v4.20.0+incompatible/go.mod h1:QJZ7F/aHp+rZTRtaJ1ow/lLfFfV
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@@ -677,6 +914,8 @@ github.com/klauspost/asmfmt v1.3.2/go.mod h1:AG8TuvYojzulgDAMCnYn50l/5QV3Bs/tp6j
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+github.com/klauspost/compress v1.15.9 h1:wKRjX6JRtDdrE9qwa4b/Cip7ACOshUI4smpCQanqjSY=
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@@ -686,20 +925,29 @@ github.com/kr/logfmt v0.0.0-20140226030751-b84e30acd515/go.mod h1:+0opPa2QZZtGFB
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@@ -756,12 +1004,16 @@ github.com/pborman/uuid v1.2.0/go.mod h1:X/NO0urCmaxf9VXbdlT7C2Yzkj2IKimNn4k+gtP
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 github.com/pierrec/lz4 v2.0.5+incompatible h1:2xWsjqPFWcplujydGg4WmhC/6fZqK42wMM8aXeqhl0I=
 github.com/pierrec/lz4 v2.0.5+incompatible/go.mod h1:pdkljMzZIN41W+lC3N2tnIh5sFi+IEE17M5jbnwPHcY=
 github.com/pierrec/lz4/v4 v4.1.12/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
 github.com/pierrec/lz4/v4 v4.1.14 h1:+fL8AQEZtz/ijeNnpduH0bROTu0O3NZAlPjQxGn8LwE=
 github.com/pierrec/lz4/v4 v4.1.14/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
+github.com/pierrec/lz4/v4 v4.1.15 h1:MO0/ucJhngq7299dKLwIMtgTfbkoSPF6AoMYDd8Q4q0=
+github.com/pierrec/lz4/v4 v4.1.15/go.mod h1:gZWDp/Ze/IJXGXf23ltt2EXimqmTUXEy0GFuRQyBid4=
+github.com/pkg/diff v0.0.0-20210226163009-20ebb0f2a09e/go.mod h1:pJLUxLENpZxwdsKMEsNbx1VGcRFpLqf3715MtcvvzbA=
 github.com/pkg/errors v0.8.0/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
 github.com/pkg/errors v0.8.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
 github.com/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
@@ -782,6 +1034,7 @@ github.com/prometheus/client_model v0.0.0-20190129233127-fd36f4220a90/go.mod h1:
 github.com/prometheus/client_model v0.0.0-20190812154241-14fe0d1b01d4/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA=
 github.com/prometheus/client_model v0.1.0/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA=
 github.com/prometheus/client_model v0.2.0/go.mod h1:xMI15A0UPsDsEKsMN9yxemIoYk6Tm2C1GtYGdfGttqA=
+github.com/prometheus/client_model v0.3.0/go.mod h1:LDGWKZIo7rky3hgvBe+caln+Dr3dPggB5dvjtD7w9+w=
 github.com/prometheus/common v0.2.0/go.mod h1:TNfzLD0ON7rHzMJeJkieUDPYmFC7Snx/y86RQel1bk4=
 github.com/prometheus/common v0.4.1/go.mod h1:TNfzLD0ON7rHzMJeJkieUDPYmFC7Snx/y86RQel1bk4=
 github.com/prometheus/common v0.7.0/go.mod h1:DjGbpBbp5NYNiECxcL/VnbXCCaQpKd3tt26CguLLsqA=
@@ -790,13 +1043,17 @@ github.com/prometheus/procfs v0.0.0-20190117184657-bf6a532e95b1/go.mod h1:c3At6R
 github.com/prometheus/procfs v0.0.2/go.mod h1:TjEm7ze935MbeOT/UhFTIMYKhuLP4wbCsTZCD3I8kEA=
 github.com/prometheus/procfs v0.0.8/go.mod h1:7Qr8sr6344vo1JqZ6HhLceV9o3AJ1Ff+GxbHq6oeK9A=
 github.com/rcrowley/go-metrics v0.0.0-20181016184325-3113b8401b8a/go.mod h1:bCqnVzQkZxMG4s8nGwiZ5l3QUCyqpo9Y+/ZMZ9VjZe4=
+github.com/remyoudompheng/bigfft v0.0.0-20200410134404-eec4a21b6bb0/go.mod h1:qqbHyh8v60DhA7CoWK5oRCqLrMHRGoxYCSS9EjAz6Eo=
 github.com/rogpeppe/fastuuid v0.0.0-20150106093220-6724a57986af/go.mod h1:XWv6SoW27p1b0cqNHllgS5HIMJraePCO15w5zCzIWYg=
 github.com/rogpeppe/fastuuid v1.2.0/go.mod h1:jVj6XXZzXRy/MSR5jhDC/2q6DgLz+nrA6LYCDYWNEvQ=
 github.com/rogpeppe/go-internal v1.3.0/go.mod h1:M8bDsm7K2OlrFYOpmOWEs/qY81heoFRclV5y23lUDJ4=
+github.com/rogpeppe/go-internal v1.6.1/go.mod h1:xXDCJY+GAPziupqXw64V24skbSoqbTEfhy4qGm1nDQc=
+github.com/rogpeppe/go-internal v1.9.0/go.mod h1:WtVeX8xhTBvf0smdhujwtBcq4Qrzq/fJaraNFVN+nFs=
 github.com/rs/xid v1.2.1/go.mod h1:+uKXf+4Djp6Md1KODXJxgGQPKngRmWyn10oCKFzNHOQ=
 github.com/rs/zerolog v1.21.0/go.mod h1:ZPhntP/xmq1nnND05hhpAh2QMhSsA4UN3MGZ6O2J3hM=
 github.com/russross/blackfriday/v2 v2.0.1/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
 github.com/ruudk/golang-pdf417 v0.0.0-20181029194003-1af4ab5afa58/go.mod h1:6lfFZQK844Gfx8o5WFuvpxWRwnSoipWe/p622j1v06w=
+github.com/ruudk/golang-pdf417 v0.0.0-20201230142125-a7e3863a1245/go.mod h1:pQAZKsJ8yyVxGRWYNEm9oFB8ieLgKFnamEyDmSA0BRk=
 github.com/ryanuber/columnize v0.0.0-20160712163229-9b3edd62028f/go.mod h1:sm1tb6uqfes/u+d4ooFouqFdy9/2g9QGwK3SQygK0Ts=
 github.com/samuel/go-zookeeper v0.0.0-20190923202752-2cc03de413da/go.mod h1:gi+0XIa01GRL2eRQVjQkKGqKF3SF9vZR/HnPullcV2E=
 github.com/sean-/seed v0.0.0-20170313163322-e2103e2c3529/go.mod h1:DxrIzT+xaE7yg65j358z/aeFdxmN0P9QXhEzd20vsDc=
@@ -834,8 +1091,9 @@ github.com/stretchr/testify v1.7.0 h1:nwc3DEeHmmLAfoZucVR881uASk0Mfjw8xYJ99tb5Cc
 github.com/stretchr/testify v1.7.0/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
 github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
 github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
-github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
 github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
+github.com/stretchr/testify v1.8.3 h1:RP3t2pwF7cMEbC1dqtB6poj3niw/9gnV4Cjg5oW5gtY=
+github.com/stretchr/testify v1.8.3/go.mod h1:sz/lmYIOXD/1dqDmKjjqLyZ2RngseejIcXlSw2iwfAo=
 github.com/tmc/grpc-websocket-proxy v0.0.0-20170815181823-89b8d40f7ca8/go.mod h1:ncp9v5uamzpCO7NfCPTXjqaC+bZgJeR0sMTm6dMHP7U=
 github.com/urfave/cli v1.20.0/go.mod h1:70zkFmudgCuE/ngEzBv17Jvp/497gISqfk5gWijbERA=
 github.com/urfave/cli v1.22.1/go.mod h1:Gos4lmkARVdJ6EkW0WaNv/tZAAMe9V7XWyB60NtXRu0=
@@ -871,6 +1129,7 @@ go.opentelemetry.io/otel/sdk v0.20.0/go.mod h1:g/IcepuwNsoiX5Byy2nNV0ySUF1em498m
 go.opentelemetry.io/otel/trace v0.20.0/go.mod h1:6GjCW8zgDjwGHGa6GkyeB8+/5vjT16gUEi0Nf1iBdgw=
 go.opentelemetry.io/proto/otlp v0.7.0/go.mod h1:PqfVotwruBrMGOCsRd/89rSnXhoiJIqeYNgFYFoEGnI=
 go.opentelemetry.io/proto/otlp v0.15.0/go.mod h1:H7XAot3MsfNsj7EXtrA2q5xSNQ10UqI405h3+duxN4U=
+go.opentelemetry.io/proto/otlp v0.19.0/go.mod h1:H7XAot3MsfNsj7EXtrA2q5xSNQ10UqI405h3+duxN4U=
 go.uber.org/atomic v1.3.2/go.mod h1:gD2HeocX3+yG+ygLZcrzQJaqmWj9AIm7n08wl/qW/PE=
 go.uber.org/atomic v1.5.0/go.mod h1:sABNBOSYdrvTF6hTgEIbc7YasKWGhgEQZyfxyTvoXHQ=
 go.uber.org/atomic v1.6.0/go.mod h1:sABNBOSYdrvTF6hTgEIbc7YasKWGhgEQZyfxyTvoXHQ=
@@ -914,6 +1173,8 @@ golang.org/x/exp v0.0.0-20200224162631-6cc2880d07d6/go.mod h1:3jZMyOhIsHpP37uCMk
 golang.org/x/exp v0.0.0-20211216164055-b2b84827b756/go.mod h1:b9TAUYHmRtqA6klRHApnXMnj+OyLce4yF5cZCUbk2ps=
 golang.org/x/exp v0.0.0-20220407100705-7b9b53b0aca4 h1:K3x+yU+fbot38x5bQbU2QqUAVyYLEktdNH2GxZLnM3U=
 golang.org/x/exp v0.0.0-20220407100705-7b9b53b0aca4/go.mod h1:lgLbSvA5ygNOMpwM/9anMpWVlVJ7Z+cHWq/eFuinpGE=
+golang.org/x/exp v0.0.0-20220827204233-334a2380cb91 h1:tnebWN09GYg9OLPss1KXj8txwZc6X6uMr6VFdcGNbHw=
+golang.org/x/exp v0.0.0-20220827204233-334a2380cb91/go.mod h1:cyybsKvd6eL0RnXn6p/Grxp8F5bW7iYuBgsNCOHpMYE=
 golang.org/x/image v0.0.0-20180708004352-c73c2afc3b81/go.mod h1:ux5Hcp/YLpHSI86hEcLt0YII63i6oz57MZXIpbrjZUs=
 golang.org/x/image v0.0.0-20190227222117-0694c2d4d067/go.mod h1:kZ7UVZpmo3dzQBMxlp+ypCbDeSB+sBbTgSJuh5dn5js=
 golang.org/x/image v0.0.0-20190802002840-cff245a6509b/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0=
@@ -923,6 +1184,10 @@ golang.org/x/image v0.0.0-20200430140353-33d19683fad8/go.mod h1:FeLwcggjj3mMvU+o
 golang.org/x/image v0.0.0-20200618115811-c13761719519/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0=
 golang.org/x/image v0.0.0-20201208152932-35266b937fa6/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0=
 golang.org/x/image v0.0.0-20210216034530-4410531fe030/go.mod h1:FeLwcggjj3mMvU+oOTbSwawSJRM1uh48EjtB4UJZlP0=
+golang.org/x/image v0.0.0-20210607152325-775e3b0c77b9/go.mod h1:023OzeP/+EPmXeapQh35lcL3II3LrY8Ic+EFFKVhULM=
+golang.org/x/image v0.0.0-20210628002857-a66eb6448b8d/go.mod h1:023OzeP/+EPmXeapQh35lcL3II3LrY8Ic+EFFKVhULM=
+golang.org/x/image v0.0.0-20211028202545-6944b10bf410/go.mod h1:023OzeP/+EPmXeapQh35lcL3II3LrY8Ic+EFFKVhULM=
+golang.org/x/image v0.0.0-20220302094943-723b81ca9867/go.mod h1:023OzeP/+EPmXeapQh35lcL3II3LrY8Ic+EFFKVhULM=
 golang.org/x/lint v0.0.0-20181026193005-c67002cb31c3/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
 golang.org/x/lint v0.0.0-20190227174305-5b3e6a55c961/go.mod h1:wehouNa3lNwaWXcvxsM5YxQ5yQlVC4a0KAMCusXpPoU=
 golang.org/x/lint v0.0.0-20190301231843-5614ed5bae6f/go.mod h1:UVdnD1Gm6xHRNCYTkRU2/jEulfH38KcIWyp/GAMgvoE=
@@ -956,6 +1221,8 @@ golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91
 golang.org/x/mod v0.7.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
 golang.org/x/mod v0.8.0 h1:LUYupSeNrTNCGzR/hVBk2NHZO4hXcVaW1k4Qx7rjPx8=
 golang.org/x/mod v0.8.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
+golang.org/x/mod v0.9.0 h1:KENHtAZL2y3NLMYZeHY9DW8HW8V+kQyJsY/V9JlKvCs=
+golang.org/x/mod v0.9.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
 golang.org/x/net v0.0.0-20180724234803-3673e40ba225/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4=
 golang.org/x/net v0.0.0-20180826012351-8a410e7b638d/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4=
 golang.org/x/net v0.0.0-20180906233101-161cd47e91fd/go.mod h1:mL1N/T3taQHkDXs73rZJwtUhF3w3ftmwwsq0BUmARs4=
@@ -1017,8 +1284,12 @@ golang.org/x/net v0.0.0-20220909164309-bea034e7d591/go.mod h1:YDH+HFinaLZZlnHAfS
 golang.org/x/net v0.0.0-20221012135044-0b7e1fb9d458/go.mod h1:YDH+HFinaLZZlnHAfSS6ZXJJ9M9t4Dl22yv3iI2vPwk=
 golang.org/x/net v0.0.0-20221014081412-f15817d10f9b/go.mod h1:YDH+HFinaLZZlnHAfSS6ZXJJ9M9t4Dl22yv3iI2vPwk=
 golang.org/x/net v0.2.0/go.mod h1:KqCZLdyyvdV855qA2rE3GC2aiw5xGR5TEjj8smXukLY=
+golang.org/x/net v0.4.0/go.mod h1:MBQ8lrhLObU/6UmLb4fmbmk5OcyYmqtbGd/9yIeKjEE=
 golang.org/x/net v0.5.0/go.mod h1:DivGGAXEgPSlEBzxGzZI+ZLohi+xUj054jfeKui00ws=
 golang.org/x/net v0.6.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
+golang.org/x/net v0.7.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
+golang.org/x/net v0.8.0/go.mod h1:QVkue5JL9kW//ek3r6jTKnTFis1tRmNAW2P1shuFdJc=
+golang.org/x/net v0.9.0/go.mod h1:d48xBJpPfHeWQsugry2m+kC02ZBRGRgulfHnEXEuWns=
 golang.org/x/net v0.10.0/go.mod h1:0qNGK6F8kojg2nk9dLZ2mShWaEBan6FAoqfSigmmuDg=
 golang.org/x/net v0.17.0 h1:pVaXccu2ozPjCXewfr1S7xza/zcXTity9cCdXQYSjIM=
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@@ -1048,6 +1319,9 @@ golang.org/x/oauth2 v0.0.0-20220909003341-f21342109be1/go.mod h1:h4gKUeWbJ4rQPri
 golang.org/x/oauth2 v0.0.0-20221006150949-b44042a4b9c1/go.mod h1:h4gKUeWbJ4rQPri7E0u6Gs4e9Ri2zaLxzw5DI5XGrYg=
 golang.org/x/oauth2 v0.0.0-20221014153046-6fdb5e3db783/go.mod h1:h4gKUeWbJ4rQPri7E0u6Gs4e9Ri2zaLxzw5DI5XGrYg=
 golang.org/x/oauth2 v0.4.0/go.mod h1:RznEsdpjGAINPTOF0UH/t+xJ75L18YO3Ho6Pyn+uRec=
+golang.org/x/oauth2 v0.5.0/go.mod h1:9/XBHVqLaWO3/BRHs5jbpYCnOZVjj5V0ndyaAM7KB4I=
+golang.org/x/oauth2 v0.6.0/go.mod h1:ycmewcwgD4Rpr3eZJLSB4Kyyljb3qDh40vJ8STE5HKw=
+golang.org/x/oauth2 v0.7.0/go.mod h1:hPLQkd9LyjfXTiRohC/41GhcFqxisoUQ99sCUOHO9x4=
 golang.org/x/sync v0.0.0-20180314180146-1d60e4601c6f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20181108010431-42b317875d0f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20181221193216-37e7f081c4d4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -1061,6 +1335,7 @@ golang.org/x/sync v0.0.0-20201207232520-09787c993a3a/go.mod h1:RxMgew5VJxzue5/jJ
 golang.org/x/sync v0.0.0-20210220032951-036812b2e83c/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220601150217-0de741cfad7f/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
+golang.org/x/sync v0.0.0-20220819030929-7fc1605a5dde/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.0.0-20220929204114-8fcdb60fdcc0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
 golang.org/x/sync v0.1.0 h1:wsuoTGHzEhffawBOhz5CYhcrV4IdKZbEyZjBMuTp12o=
 golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
@@ -1091,6 +1366,7 @@ golang.org/x/sys v0.0.0-20191204072324-ce4227a45e2e/go.mod h1:h1NjWce9XRLGQEsW7w
 golang.org/x/sys v0.0.0-20191220142924-d4481acd189f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20191228213918-04cbcbbfeed8/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200113162924-86b910548bc1/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
+golang.org/x/sys v0.0.0-20200116001909-b77594299b42/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200122134326-e047566fdf82/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200202164722-d101bd2416d5/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
 golang.org/x/sys v0.0.0-20200212091648-12a6c2dcc1e4/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
@@ -1129,6 +1405,7 @@ golang.org/x/sys v0.0.0-20210806184541-e5e7981a1069/go.mod h1:oPkhp1MJrh7nUepCBc
 golang.org/x/sys v0.0.0-20210816183151-1e6c022a8912/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
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@@ -1146,17 +1423,25 @@ golang.org/x/sys v0.0.0-20220615213510-4f61da869c0c/go.mod h1:oPkhp1MJrh7nUepCBc
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@@ -1170,8 +1455,10 @@ golang.org/x/text v0.3.6/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
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@@ -1181,6 +1468,7 @@ golang.org/x/time v0.0.0-20190308202827-9d24e82272b4/go.mod h1:tRJNPiyCQ0inRvYxb
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@@ -1233,6 +1521,7 @@ golang.org/x/tools v0.0.0-20200804011535-6c149bb5ef0d/go.mod h1:njjCfa9FT2d7l9Bc
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@@ -1245,11 +1534,14 @@ golang.org/x/tools v0.1.3/go.mod h1:o0xws9oXOQQZyjljx8fwUC0k7L1pTE6eaCbjGeHmOkk=
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@@ -1264,9 +1556,12 @@ gonum.org/v1/gonum v0.0.0-20180816165407-929014505bf4/go.mod h1:Y+Yx5eoAFn32cQvJ
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@@ -1319,6 +1614,12 @@ google.golang.org/api v0.99.0/go.mod h1:1YOf74vkVndF7pG6hIHuINsM7eWwpVTAfNMNiL91
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@@ -1434,13 +1735,33 @@ google.golang.org/genproto v0.0.0-20221014213838-99cd37c6964a/go.mod h1:1vXfmgAz
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+google.golang.org/genproto v0.0.0-20230303212802-e74f57abe488/go.mod h1:TvhZT5f700eVlTNwND1xoEZQeWTB2RY/65kplwl/bFA=
+google.golang.org/genproto v0.0.0-20230306155012-7f2fa6fef1f4/go.mod h1:NWraEVixdDnqcqQ30jipen1STv2r/n24Wb7twVTGR4s=
+google.golang.org/genproto v0.0.0-20230320184635-7606e756e683/go.mod h1:NWraEVixdDnqcqQ30jipen1STv2r/n24Wb7twVTGR4s=
+google.golang.org/genproto v0.0.0-20230323212658-478b75c54725/go.mod h1:UUQDJDOlWu4KYeJZffbWgBkS1YFobzKbLVfK69pe0Ak=
+google.golang.org/genproto v0.0.0-20230330154414-c0448cd141ea/go.mod h1:UUQDJDOlWu4KYeJZffbWgBkS1YFobzKbLVfK69pe0Ak=
+google.golang.org/genproto v0.0.0-20230331144136-dcfb400f0633/go.mod h1:UUQDJDOlWu4KYeJZffbWgBkS1YFobzKbLVfK69pe0Ak=
+google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1 h1:KpwkzHKEF7B9Zxg18WzOa7djJ+Ha5DzthMyZYQfEn2A=
+google.golang.org/genproto v0.0.0-20230410155749-daa745c078e1/go.mod h1:nKE/iIaLqn2bQwXBg8f1g2Ylh6r5MN5CmZvuzZCgsCU=
 google.golang.org/grpc v1.17.0/go.mod h1:6QZJwpn2B+Zp71q/5VxRsJ6NXXVCE5NRUHRo+f3cWCs=
 google.golang.org/grpc v1.19.0/go.mod h1:mqu4LbDTu4XGKhr4mRzUsmM4RtVoemTSY81AxZiDr8c=
 google.golang.org/grpc v1.20.0/go.mod h1:chYK+tFQF0nDUGJgXMSgLCQk3phJEuONr2DCgLDdAQM=
@@ -1483,8 +1804,11 @@ google.golang.org/grpc v1.49.0/go.mod h1:ZgQEeidpAuNRZ8iRrlBKXZQP1ghovWIVhdJRyCD
 google.golang.org/grpc v1.50.0/go.mod h1:ZgQEeidpAuNRZ8iRrlBKXZQP1ghovWIVhdJRyCDK+GI=
 google.golang.org/grpc v1.50.1/go.mod h1:ZgQEeidpAuNRZ8iRrlBKXZQP1ghovWIVhdJRyCDK+GI=
 google.golang.org/grpc v1.51.0/go.mod h1:wgNDFcnuBGmxLKI/qn4T+m5BtEBYXJPvibbUPsAIPww=
-google.golang.org/grpc v1.53.0 h1:LAv2ds7cmFV/XTS3XG1NneeENYrXGmorPxsBbptIjNc=
+google.golang.org/grpc v1.52.3/go.mod h1:pu6fVzoFb+NBYNAvQL08ic+lvB2IojljRYuun5vorUY=
 google.golang.org/grpc v1.53.0/go.mod h1:OnIrk0ipVdj4N5d9IUoFUx72/VlD7+jUsHwZgwSMQpw=
+google.golang.org/grpc v1.54.0/go.mod h1:PUSEXI6iWghWaB6lXM4knEgpJNu2qUcKfDtNci3EC2g=
+google.golang.org/grpc v1.56.3 h1:8I4C0Yq1EjstUzUJzpcRVbuYA2mODtEmpWiQoN/b2nc=
+google.golang.org/grpc v1.56.3/go.mod h1:I9bI3vqKfayGqPUAwGdOSu7kt6oIJLixfffKrpXqQ9s=
 google.golang.org/grpc/cmd/protoc-gen-go-grpc v1.1.0/go.mod h1:6Kw0yEErY5E/yWrBtf03jp27GLLJujG4z/JK95pnjjw=
 google.golang.org/protobuf v0.0.0-20200109180630-ec00e32a8dfd/go.mod h1:DFci5gLYBciE7Vtevhsrf46CRTquxDuWsQurQQe4oz8=
 google.golang.org/protobuf v0.0.0-20200221191635-4d8936d0db64/go.mod h1:kwYJMbMJ01Woi6D6+Kah6886xMZcty6N08ah7+eCXa0=
@@ -1500,8 +1824,11 @@ google.golang.org/protobuf v1.26.0-rc.1/go.mod h1:jlhhOSvTdKEhbULTjvd4ARK9grFBp0
 google.golang.org/protobuf v1.26.0/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc=
 google.golang.org/protobuf v1.27.1/go.mod h1:9q0QmTI4eRPtz6boOQmLYwt+qCgq0jsYwAQnmE0givc=
 google.golang.org/protobuf v1.28.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
-google.golang.org/protobuf v1.28.1 h1:d0NfwRgPtno5B1Wa6L2DAG+KivqkdutMf1UhdNx175w=
 google.golang.org/protobuf v1.28.1/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
+google.golang.org/protobuf v1.29.1/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
+google.golang.org/protobuf v1.30.0/go.mod h1:HV8QOd/L58Z+nl8r43ehVNZIU/HEI6OcFqwMG9pJV4I=
+google.golang.org/protobuf v1.33.0 h1:uNO2rsAINq/JlFpSdYEKIZ0uKD/R9cpdv0T+yoGwGmI=
+google.golang.org/protobuf v1.33.0/go.mod h1:c6P6GXX6sHbq/GpV6MGZEdwhWPcYBgnhAHhKbcUYpos=
 gopkg.in/alecthomas/kingpin.v2 v2.2.6/go.mod h1:FMv+mEhP44yOT+4EoQTLFTRgOQ1FBLkstjWtayDeSgw=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
 gopkg.in/check.v1 v1.0.0-20180628173108-788fd7840127/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
@@ -1536,6 +1863,40 @@ honnef.co/go/tools v0.0.1-2019.2.3/go.mod h1:a3bituU0lyd329TUQxRnasdCoJDkEUEAqEt
 honnef.co/go/tools v0.0.1-2020.1.3/go.mod h1:X/FiERA/W4tHapMX5mGpAtMSVEeEUOyHaw9vFzvIQ3k=
 honnef.co/go/tools v0.0.1-2020.1.4/go.mod h1:X/FiERA/W4tHapMX5mGpAtMSVEeEUOyHaw9vFzvIQ3k=
 honnef.co/go/tools v0.1.3/go.mod h1:NgwopIslSNH47DimFoV78dnkksY2EFtX0ajyb3K/las=
+lukechampine.com/uint128 v1.1.1/go.mod h1:c4eWIwlEGaxC/+H1VguhU4PHXNWDCDMUlWdIWl2j1gk=
+lukechampine.com/uint128 v1.2.0/go.mod h1:c4eWIwlEGaxC/+H1VguhU4PHXNWDCDMUlWdIWl2j1gk=
+modernc.org/cc/v3 v3.36.0/go.mod h1:NFUHyPn4ekoC/JHeZFfZurN6ixxawE1BnVonP/oahEI=
+modernc.org/cc/v3 v3.36.2/go.mod h1:NFUHyPn4ekoC/JHeZFfZurN6ixxawE1BnVonP/oahEI=
+modernc.org/cc/v3 v3.36.3/go.mod h1:NFUHyPn4ekoC/JHeZFfZurN6ixxawE1BnVonP/oahEI=
+modernc.org/ccgo/v3 v3.0.0-20220428102840-41399a37e894/go.mod h1:eI31LL8EwEBKPpNpA4bU1/i+sKOwOrQy8D87zWUcRZc=
+modernc.org/ccgo/v3 v3.0.0-20220430103911-bc99d88307be/go.mod h1:bwdAnOoaIt8Ax9YdWGjxWsdkPcZyRPHqrOvJxaKAKGw=
+modernc.org/ccgo/v3 v3.16.4/go.mod h1:tGtX0gE9Jn7hdZFeU88slbTh1UtCYKusWOoCJuvkWsQ=
+modernc.org/ccgo/v3 v3.16.6/go.mod h1:tGtX0gE9Jn7hdZFeU88slbTh1UtCYKusWOoCJuvkWsQ=
+modernc.org/ccgo/v3 v3.16.8/go.mod h1:zNjwkizS+fIFDrDjIAgBSCLkWbJuHF+ar3QRn+Z9aws=
+modernc.org/ccgo/v3 v3.16.9/go.mod h1:zNMzC9A9xeNUepy6KuZBbugn3c0Mc9TeiJO4lgvkJDo=
+modernc.org/ccorpus v1.11.6/go.mod h1:2gEUTrWqdpH2pXsmTM1ZkjeSrUWDpjMu2T6m29L/ErQ=
+modernc.org/httpfs v1.0.6/go.mod h1:7dosgurJGp0sPaRanU53W4xZYKh14wfzX420oZADeHM=
+modernc.org/libc v0.0.0-20220428101251-2d5f3daf273b/go.mod h1:p7Mg4+koNjc8jkqwcoFBJx7tXkpj00G77X7A72jXPXA=
+modernc.org/libc v1.16.0/go.mod h1:N4LD6DBE9cf+Dzf9buBlzVJndKr/iJHG97vGLHYnb5A=
+modernc.org/libc v1.16.1/go.mod h1:JjJE0eu4yeK7tab2n4S1w8tlWd9MxXLRzheaRnAKymU=
+modernc.org/libc v1.16.17/go.mod h1:hYIV5VZczAmGZAnG15Vdngn5HSF5cSkbvfz2B7GRuVU=
+modernc.org/libc v1.16.19/go.mod h1:p7Mg4+koNjc8jkqwcoFBJx7tXkpj00G77X7A72jXPXA=
+modernc.org/libc v1.17.0/go.mod h1:XsgLldpP4aWlPlsjqKRdHPqCxCjISdHfM/yeWC5GyW0=
+modernc.org/libc v1.17.1/go.mod h1:FZ23b+8LjxZs7XtFMbSzL/EhPxNbfZbErxEHc7cbD9s=
+modernc.org/mathutil v1.2.2/go.mod h1:mZW8CKdRPY1v87qxC/wUdX5O1qDzXMP5TH3wjfpga6E=
+modernc.org/mathutil v1.4.1/go.mod h1:mZW8CKdRPY1v87qxC/wUdX5O1qDzXMP5TH3wjfpga6E=
+modernc.org/mathutil v1.5.0/go.mod h1:mZW8CKdRPY1v87qxC/wUdX5O1qDzXMP5TH3wjfpga6E=
+modernc.org/memory v1.1.1/go.mod h1:/0wo5ibyrQiaoUoH7f9D8dnglAmILJ5/cxZlRECf+Nw=
+modernc.org/memory v1.2.0/go.mod h1:/0wo5ibyrQiaoUoH7f9D8dnglAmILJ5/cxZlRECf+Nw=
+modernc.org/memory v1.2.1/go.mod h1:PkUhL0Mugw21sHPeskwZW4D6VscE/GQJOnIpCnW6pSU=
+modernc.org/opt v0.1.1/go.mod h1:WdSiB5evDcignE70guQKxYUl14mgWtbClRi5wmkkTX0=
+modernc.org/opt v0.1.3/go.mod h1:WdSiB5evDcignE70guQKxYUl14mgWtbClRi5wmkkTX0=
+modernc.org/sqlite v1.18.1/go.mod h1:6ho+Gow7oX5V+OiOQ6Tr4xeqbx13UZ6t+Fw9IRUG4d4=
+modernc.org/strutil v1.1.1/go.mod h1:DE+MQQ/hjKBZS2zNInV5hhcipt5rLPWkmpbGeW5mmdw=
+modernc.org/strutil v1.1.3/go.mod h1:MEHNA7PdEnEwLvspRMtWTNnp2nnyvMfkimT1NKNAGbw=
+modernc.org/tcl v1.13.1/go.mod h1:XOLfOwzhkljL4itZkK6T72ckMgvj0BDsnKNdZVUOecw=
+modernc.org/token v1.0.0/go.mod h1:UGzOrNV1mAFSEB63lOFHIpNRUVMvYTc6yu1SMY/XTDM=
+modernc.org/z v1.5.1/go.mod h1:eWFB510QWW5Th9YGZT81s+LwvaAs3Q2yr4sP0rmLkv8=
 rsc.io/binaryregexp v0.2.0/go.mod h1:qTv7/COck+e2FymRvadv62gMdZztPaShugOCi3I+8D8=
 rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=
 rsc.io/quote/v3 v3.1.0/go.mod h1:yEA65RcK8LyAZtP9Kv3t0HmxON59tX3rD+tICJqUlj0=
diff --git a/infra/charts/feast-feature-server/Chart.yaml b/infra/charts/feast-feature-server/Chart.yaml
index 6111639b68..d7a7e30651 100644
--- a/infra/charts/feast-feature-server/Chart.yaml
+++ b/infra/charts/feast-feature-server/Chart.yaml
@@ -2,7 +2,7 @@ apiVersion: v2
 name: feast-feature-server
 description: Feast Feature Server in Go or Python
 type: application
-version: 0.35.0
+version: 0.36.0
 keywords:
   - machine learning
   - big data
diff --git a/infra/charts/feast-feature-server/README.md b/infra/charts/feast-feature-server/README.md
index 2467b60e1e..48018b88d5 100644
--- a/infra/charts/feast-feature-server/README.md
+++ b/infra/charts/feast-feature-server/README.md
@@ -1,6 +1,6 @@
 # Feast Python / Go Feature Server Helm Charts
 
-Current chart version is `0.35.0`
+Current chart version is `0.36.0`
 
 ## Installation
 
@@ -30,7 +30,7 @@ See [here](https://github.com/feast-dev/feast/tree/master/examples/python-helm-d
 | fullnameOverride | string | `""` |  |
 | image.pullPolicy | string | `"IfNotPresent"` |  |
 | image.repository | string | `"feastdev/feature-server"` | Docker image for Feature Server repository |
-| image.tag | string | `"0.35.0"` | The Docker image tag (can be overwritten if custom feature server deps are needed for on demand transforms) |
+| image.tag | string | `"0.36.0"` | The Docker image tag (can be overwritten if custom feature server deps are needed for on demand transforms) |
 | imagePullSecrets | list | `[]` |  |
 | livenessProbe.initialDelaySeconds | int | `30` |  |
 | livenessProbe.periodSeconds | int | `30` |  |
diff --git a/infra/charts/feast-feature-server/values.yaml b/infra/charts/feast-feature-server/values.yaml
index 2383d6fa9f..6177e746fb 100644
--- a/infra/charts/feast-feature-server/values.yaml
+++ b/infra/charts/feast-feature-server/values.yaml
@@ -9,7 +9,7 @@ image:
   repository: feastdev/feature-server
   pullPolicy: IfNotPresent
   # image.tag -- The Docker image tag (can be overwritten if custom feature server deps are needed for on demand transforms)
-  tag: 0.35.0
+  tag: 0.36.0
 
 imagePullSecrets: []
 nameOverride: ""
diff --git a/infra/charts/feast/Chart.yaml b/infra/charts/feast/Chart.yaml
index c53b73848c..6e146a442b 100644
--- a/infra/charts/feast/Chart.yaml
+++ b/infra/charts/feast/Chart.yaml
@@ -1,7 +1,7 @@
 apiVersion: v1
 description: Feature store for machine learning
 name: feast
-version: 0.35.0
+version: 0.36.0
 keywords:
   - machine learning
   - big data
diff --git a/infra/charts/feast/README.md b/infra/charts/feast/README.md
index d8d4a3d376..241bafdc65 100644
--- a/infra/charts/feast/README.md
+++ b/infra/charts/feast/README.md
@@ -8,7 +8,7 @@ This repo contains Helm charts for Feast Java components that are being installe
    
 ## Chart: Feast
 
-Feature store for machine learning Current chart version is `0.35.0`
+Feature store for machine learning Current chart version is `0.36.0`
 
 ## Installation
 
@@ -65,8 +65,8 @@ See [here](https://github.com/feast-dev/feast/tree/master/examples/java-demo) fo
 | Repository | Name | Version |
 |------------|------|---------|
 | https://charts.helm.sh/stable | redis | 10.5.6 |
-| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.35.0 |
-| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.35.0 |
+| https://feast-helm-charts.storage.googleapis.com | feature-server(feature-server) | 0.36.0 |
+| https://feast-helm-charts.storage.googleapis.com | transformation-service(transformation-service) | 0.36.0 |
 
 ## Values
 
diff --git a/infra/charts/feast/charts/feature-server/Chart.yaml b/infra/charts/feast/charts/feature-server/Chart.yaml
index 122c80f9fd..14da582933 100644
--- a/infra/charts/feast/charts/feature-server/Chart.yaml
+++ b/infra/charts/feast/charts/feature-server/Chart.yaml
@@ -1,8 +1,8 @@
 apiVersion: v1
 description: "Feast Feature Server: Online feature serving service for Feast"
 name: feature-server
-version: 0.35.0
-appVersion: v0.35.0
+version: 0.36.0
+appVersion: v0.36.0
 keywords:
 - machine learning
 - big data
diff --git a/infra/charts/feast/charts/feature-server/README.md b/infra/charts/feast/charts/feature-server/README.md
index 514fcc5727..8fd847e71b 100644
--- a/infra/charts/feast/charts/feature-server/README.md
+++ b/infra/charts/feast/charts/feature-server/README.md
@@ -1,6 +1,6 @@
 # feature-server
 
-![Version: 0.35.0](https://img.shields.io/badge/Version-0.35.0-informational?style=flat-square) ![AppVersion: v0.35.0](https://img.shields.io/badge/AppVersion-v0.35.0-informational?style=flat-square)
+![Version: 0.36.0](https://img.shields.io/badge/Version-0.36.0-informational?style=flat-square) ![AppVersion: v0.36.0](https://img.shields.io/badge/AppVersion-v0.36.0-informational?style=flat-square)
 
 Feast Feature Server: Online feature serving service for Feast
 
@@ -17,7 +17,7 @@ Feast Feature Server: Online feature serving service for Feast
 | envOverrides | object | `{}` | Extra environment variables to set |
 | image.pullPolicy | string | `"IfNotPresent"` | Image pull policy |
 | image.repository | string | `"feastdev/feature-server-java"` | Docker image for Feature Server repository |
-| image.tag | string | `"0.35.0"` | Image tag |
+| image.tag | string | `"0.36.0"` | Image tag |
 | ingress.grpc.annotations | object | `{}` | Extra annotations for the ingress |
 | ingress.grpc.auth.enabled | bool | `false` | Flag to enable auth |
 | ingress.grpc.class | string | `"nginx"` | Which ingress controller to use |
@@ -64,4 +64,4 @@ Feast Feature Server: Online feature serving service for Feast
 | transformationService.port | int | `6566` |  |
 
 ----------------------------------------------
-Autogenerated from chart metadata using [helm-docs v1.12.0](https://github.com/norwoodj/helm-docs/releases/v1.12.0)
+Autogenerated from chart metadata using [helm-docs v1.13.1](https://github.com/norwoodj/helm-docs/releases/v1.13.1)
diff --git a/infra/charts/feast/charts/feature-server/values.yaml b/infra/charts/feast/charts/feature-server/values.yaml
index a14cc2d28f..76bfe2c0cb 100644
--- a/infra/charts/feast/charts/feature-server/values.yaml
+++ b/infra/charts/feast/charts/feature-server/values.yaml
@@ -5,7 +5,7 @@ image:
   # image.repository -- Docker image for Feature Server repository
   repository: feastdev/feature-server-java
   # image.tag -- Image tag
-  tag: 0.35.0
+  tag: 0.36.0
   # image.pullPolicy -- Image pull policy
   pullPolicy: IfNotPresent
 
diff --git a/infra/charts/feast/charts/transformation-service/Chart.yaml b/infra/charts/feast/charts/transformation-service/Chart.yaml
index 852045f52b..218726b7f1 100644
--- a/infra/charts/feast/charts/transformation-service/Chart.yaml
+++ b/infra/charts/feast/charts/transformation-service/Chart.yaml
@@ -1,8 +1,8 @@
 apiVersion: v1
 description: "Transformation service: to compute on-demand features"
 name: transformation-service
-version: 0.35.0
-appVersion: v0.35.0
+version: 0.36.0
+appVersion: v0.36.0
 keywords:
 - machine learning
 - big data
diff --git a/infra/charts/feast/charts/transformation-service/README.md b/infra/charts/feast/charts/transformation-service/README.md
index 758620d56a..5d4772572d 100644
--- a/infra/charts/feast/charts/transformation-service/README.md
+++ b/infra/charts/feast/charts/transformation-service/README.md
@@ -1,6 +1,6 @@
 # transformation-service
 
-![Version: 0.35.0](https://img.shields.io/badge/Version-0.35.0-informational?style=flat-square) ![AppVersion: v0.35.0](https://img.shields.io/badge/AppVersion-v0.35.0-informational?style=flat-square)
+![Version: 0.36.0](https://img.shields.io/badge/Version-0.36.0-informational?style=flat-square) ![AppVersion: v0.36.0](https://img.shields.io/badge/AppVersion-v0.36.0-informational?style=flat-square)
 
 Transformation service: to compute on-demand features
 
@@ -13,7 +13,7 @@ Transformation service: to compute on-demand features
 | envOverrides | object | `{}` | Extra environment variables to set |
 | image.pullPolicy | string | `"IfNotPresent"` | Image pull policy |
 | image.repository | string | `"feastdev/feature-transformation-server"` | Docker image for Transformation Server repository |
-| image.tag | string | `"0.35.0"` | Image tag |
+| image.tag | string | `"0.36.0"` | Image tag |
 | nodeSelector | object | `{}` | Node labels for pod assignment |
 | podLabels | object | `{}` | Labels to be added to Feast Serving pods |
 | replicaCount | int | `1` | Number of pods that will be created |
@@ -25,4 +25,4 @@ Transformation service: to compute on-demand features
 | service.type | string | `"ClusterIP"` | Kubernetes service type |
 
 ----------------------------------------------
-Autogenerated from chart metadata using [helm-docs v1.12.0](https://github.com/norwoodj/helm-docs/releases/v1.12.0)
+Autogenerated from chart metadata using [helm-docs v1.13.1](https://github.com/norwoodj/helm-docs/releases/v1.13.1)
diff --git a/infra/charts/feast/charts/transformation-service/values.yaml b/infra/charts/feast/charts/transformation-service/values.yaml
index e45ef47288..8e9fe2f87a 100644
--- a/infra/charts/feast/charts/transformation-service/values.yaml
+++ b/infra/charts/feast/charts/transformation-service/values.yaml
@@ -5,7 +5,7 @@ image:
   # image.repository -- Docker image for Transformation Server repository
   repository: feastdev/feature-transformation-server
   # image.tag -- Image tag
-  tag: 0.35.0
+  tag: 0.36.0
   # image.pullPolicy -- Image pull policy
   pullPolicy: IfNotPresent
 
diff --git a/infra/charts/feast/requirements.yaml b/infra/charts/feast/requirements.yaml
index ec098f2f7b..601d9a7a84 100644
--- a/infra/charts/feast/requirements.yaml
+++ b/infra/charts/feast/requirements.yaml
@@ -1,12 +1,12 @@
 dependencies:
 - name: feature-server
   alias: feature-server
-  version: 0.35.0
+  version: 0.36.0
   condition: feature-server.enabled
   repository: https://feast-helm-charts.storage.googleapis.com
 - name: transformation-service
   alias: transformation-service
-  version: 0.35.0
+  version: 0.36.0
   condition: transformation-service.enabled
   repository: https://feast-helm-charts.storage.googleapis.com
 - name: redis
diff --git a/java/CONTRIBUTING.md b/java/CONTRIBUTING.md
index 65d43d0de5..6d53c7b5c2 100644
--- a/java/CONTRIBUTING.md
+++ b/java/CONTRIBUTING.md
@@ -50,7 +50,7 @@ Automatically format the code to conform the style guide by:
 
 ```sh
 # formats all code in the feast-java repository
-mvn spotless:apply
+make format-java
 ```
 
 > If you're using IntelliJ, you can import these [code style settings](https://github.com/google/styleguide/blob/gh-pages/intellij-java-google-style.xml)
@@ -66,7 +66,7 @@ Run all Unit tests:
 make test-java
 ```
 
-Run all Integration tests (note: this also runs GCS + S3 based tests which should fail):
+Run all Integration tests:
 ```
 make test-java-integration
 ```
diff --git a/java/pom.xml b/java/pom.xml
index 59c6733784..b8d82c8e04 100644
--- a/java/pom.xml
+++ b/java/pom.xml
@@ -35,7 +35,7 @@
     </modules>
 
     <properties>
-        <revision>0.35.0</revision>
+        <revision>0.36.0</revision>
         <github.url>https://github.com/feast-dev/feast</github.url>
 
         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
@@ -68,6 +68,8 @@
         <google.auth.library.oauth2.http.version>0.21.0</google.auth.library.oauth2.http.version>
         <auto.value.version>1.6.6</auto.value.version>
         <guava.version>30.1-jre</guava.version>
+        <reactor.version>3.4.34</reactor.version>
+        <netty.version>4.1.101.Final</netty.version>
 
         <license.content><![CDATA[
 /*
@@ -186,6 +188,49 @@
                 <version>${javax.validation.version}</version>
             </dependency>
 
+            <dependency>
+                <groupId>com.fasterxml.jackson.core</groupId>
+                <artifactId>jackson-core</artifactId>
+                <version>${jackson.version}</version>
+            </dependency>
+            <dependency>
+                <groupId>com.fasterxml.jackson.core</groupId>
+                <artifactId>jackson-databind</artifactId>
+                <version>${jackson.version}</version>
+            </dependency>
+            <dependency>
+                <groupId>com.fasterxml.jackson.core</groupId>
+                <artifactId>jackson-annotations</artifactId>
+                <version>${jackson.version}</version>
+            </dependency>
+
+            <dependency>
+                <groupId>io.netty</groupId>
+                <artifactId>netty-common</artifactId>
+                <version>${netty.version}</version>
+            </dependency>
+            <dependency>
+                <groupId>io.netty</groupId>
+                <artifactId>netty-buffer</artifactId>
+                <version>${netty.version}</version>
+            </dependency>
+            <dependency>
+                <groupId>io.netty</groupId>
+                <artifactId>netty-handler</artifactId>
+                <version>${netty.version}</version>
+            </dependency>
+            <dependency>
+                <groupId>io.netty</groupId>
+                <artifactId>netty-transport</artifactId>
+                <version>${netty.version}</version>
+            </dependency>
+
+            <dependency>
+                <groupId>io.projectreactor</groupId>
+                <artifactId>reactor-core</artifactId>
+                <version>${reactor.version}</version>
+            </dependency>
+
             <dependency>
                 <groupId>org.junit.platform</groupId>
                 <artifactId>junit-platform-engine</artifactId>
@@ -246,7 +291,7 @@
                 <configuration>
                     <java>
                         <licenseHeader>
-                          <content>${license.content}</content>
+                            <content>${license.content}</content>
                         </licenseHeader>
                         <googleJavaFormat>
                             <version>1.7</version>
@@ -264,15 +309,15 @@
                     </scala>
                 </configuration>
                 <executions>
-                  <!-- Move check to fail faster, but after compilation. Default is verify phase -->
-                  <execution>
-                      <id>spotless-check</id>
-                      <phase>process-test-classes</phase>
-                      <goals>
-                          <goal>check</goal>
-                      </goals>
-                  </execution>
-              </executions>
+                    <!-- Move check to fail faster, but after compilation. Default is verify phase -->
+                    <execution>
+                        <id>spotless-check</id>
+                        <phase>process-test-classes</phase>
+                        <goals>
+                            <goal>check</goal>
+                        </goals>
+                    </execution>
+                </executions>
             </plugin>
             <plugin>
                 <groupId>org.apache.maven.plugins</groupId>
diff --git a/java/serving/.gitignore b/java/serving/.gitignore
index 6c6b6d8d8f..750b7f498b 100644
--- a/java/serving/.gitignore
+++ b/java/serving/.gitignore
@@ -34,4 +34,7 @@ feast-serving.jar
 /.nb-gradle/
 
 ## Feast Temporary Files ##
-/temp/
\ No newline at end of file
+/temp/
+
+## Generated test data ##
+**/*.parquet
\ No newline at end of file
diff --git a/java/serving/pom.xml b/java/serving/pom.xml
index 19e54e1362..6929d65d93 100644
--- a/java/serving/pom.xml
+++ b/java/serving/pom.xml
@@ -16,8 +16,8 @@
   ~
   -->
 <project xmlns="http://maven.apache.org/POM/4.0.0"
-    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
-    xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
+         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
+         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/maven-v4_0_0.xsd">
   <modelVersion>4.0.0</modelVersion>
 
   <parent>
@@ -121,6 +121,19 @@
       <version>5.0.1</version>
     </dependency>
 
+    <!-- azure blob storage -->
+    <!-- https://mvnrepository.com/artifact/com.azure/azure-storage-blob -->
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-storage-blob</artifactId>
+      <version>12.25.2</version>
+    </dependency>
+    <dependency>
+      <groupId>com.azure</groupId>
+      <artifactId>azure-identity</artifactId>
+      <version>1.11.3</version>
+    </dependency>
+
     <!-- TODO: SLF4J is being used via Lombok, but also jog4j - pick one -->
     <dependency>
       <groupId>org.slf4j</groupId>
@@ -356,11 +369,11 @@
       <version>2.7.4</version>
       <scope>test</scope>
     </dependency>
-      <dependency>
-          <groupId>io.lettuce</groupId>
-          <artifactId>lettuce-core</artifactId>
-          <version>6.0.2.RELEASE</version>
-      </dependency>
+    <dependency>
+      <groupId>io.lettuce</groupId>
+      <artifactId>lettuce-core</artifactId>
+      <version>6.0.2.RELEASE</version>
+    </dependency>
     <dependency>
       <groupId>org.apache.commons</groupId>
       <artifactId>commons-lang3</artifactId>
diff --git a/java/serving/src/main/java/feast/serving/registry/AzureRegistryFile.java b/java/serving/src/main/java/feast/serving/registry/AzureRegistryFile.java
new file mode 100644
index 0000000000..72f6d476d5
--- /dev/null
+++ b/java/serving/src/main/java/feast/serving/registry/AzureRegistryFile.java
@@ -0,0 +1,57 @@
+/*
+ * SPDX-License-Identifier: Apache-2.0
+ * Copyright 2018-2021 The Feast Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package feast.serving.registry;
+
+import com.azure.storage.blob.BlobClient;
+import com.azure.storage.blob.BlobServiceClient;
+import com.google.protobuf.InvalidProtocolBufferException;
+import feast.proto.core.RegistryProto;
+import java.util.Objects;
+import java.util.Optional;
+
+public class AzureRegistryFile implements RegistryFile {
+  private final BlobClient blobClient;
+  private String lastKnownETag;
+
+  public AzureRegistryFile(BlobServiceClient blobServiceClient, String url) {
+    String[] split = url.replace("az://", "").split("/");
+    String objectPath = String.join("/", java.util.Arrays.copyOfRange(split, 1, split.length));
+    this.blobClient = blobServiceClient.getBlobContainerClient(split[0]).getBlobClient(objectPath);
+  }
+
+  @Override
+  public RegistryProto.Registry getContent() {
+    try {
+      return RegistryProto.Registry.parseFrom(blobClient.downloadContent().toBytes());
+    } catch (InvalidProtocolBufferException e) {
+      throw new RuntimeException(
+          String.format(
+              "Couldn't read remote registry: %s. Error: %s",
+              blobClient.getBlobUrl(), e.getMessage()));
+    }
+  }
+
+  @Override
+  public Optional<RegistryProto.Registry> getContentIfModified() {
+    String eTag = blobClient.getProperties().getETag();
+    if (Objects.equals(eTag, this.lastKnownETag)) {
+      return Optional.empty();
+    } else this.lastKnownETag = eTag;
+
+    return Optional.of(getContent());
+  }
+}
diff --git a/java/serving/src/main/java/feast/serving/service/config/ApplicationProperties.java b/java/serving/src/main/java/feast/serving/service/config/ApplicationProperties.java
index 7cef10e61a..91c5440cb7 100644
--- a/java/serving/src/main/java/feast/serving/service/config/ApplicationProperties.java
+++ b/java/serving/src/main/java/feast/serving/service/config/ApplicationProperties.java
@@ -95,6 +95,7 @@ public static class FeastProperties {
     private String gcpProject;
     private String awsRegion;
     private String transformationServiceEndpoint;
+    private String azureStorageAccount;
 
     public String getRegistry() {
       return registry;
@@ -205,6 +206,14 @@ public String getTransformationServiceEndpoint() {
     public void setTransformationServiceEndpoint(String transformationServiceEndpoint) {
       this.transformationServiceEndpoint = transformationServiceEndpoint;
     }
+
+    public String getAzureStorageAccount() {
+      return azureStorageAccount;
+    }
+
+    public void setAzureStorageAccount(String azureStorageAccount) {
+      this.azureStorageAccount = azureStorageAccount;
+    }
   }
 
   /** Store configuration class for database that this Feast Serving uses. */
diff --git a/java/serving/src/main/java/feast/serving/service/config/RegistryConfigModule.java b/java/serving/src/main/java/feast/serving/service/config/RegistryConfigModule.java
index cfb4666f07..5ab951c71c 100644
--- a/java/serving/src/main/java/feast/serving/service/config/RegistryConfigModule.java
+++ b/java/serving/src/main/java/feast/serving/service/config/RegistryConfigModule.java
@@ -18,6 +18,9 @@
 
 import com.amazonaws.services.s3.AmazonS3;
 import com.amazonaws.services.s3.AmazonS3ClientBuilder;
+import com.azure.identity.DefaultAzureCredentialBuilder;
+import com.azure.storage.blob.BlobServiceClient;
+import com.azure.storage.blob.BlobServiceClientBuilder;
 import com.google.cloud.storage.Storage;
 import com.google.cloud.storage.StorageOptions;
 import com.google.inject.AbstractModule;
@@ -43,11 +46,27 @@ public AmazonS3 awsStorage(ApplicationProperties applicationProperties) {
         .build();
   }
 
+  @Provides
+  public BlobServiceClient azureStorage(ApplicationProperties applicationProperties) {
+
+    BlobServiceClient blobServiceClient =
+        new BlobServiceClientBuilder()
+            .endpoint(
+                String.format(
+                    "https://%s.blob.core.windows.net",
+                    applicationProperties.getFeast().getAzureStorageAccount()))
+            .credential(new DefaultAzureCredentialBuilder().build())
+            .buildClient();
+
+    return blobServiceClient;
+  }
+
   @Provides
   RegistryFile registryFile(
       ApplicationProperties applicationProperties,
       Provider<Storage> storageProvider,
-      Provider<AmazonS3> amazonS3Provider) {
+      Provider<AmazonS3> amazonS3Provider,
+      Provider<BlobServiceClient> azureProvider) {
 
     String registryPath = applicationProperties.getFeast().getRegistry();
     Optional<String> scheme = Optional.ofNullable(URI.create(registryPath).getScheme());
@@ -57,6 +76,8 @@ RegistryFile registryFile(
         return new GSRegistryFile(storageProvider.get(), registryPath);
       case "s3":
         return new S3RegistryFile(amazonS3Provider.get(), registryPath);
+      case "az":
+        return new AzureRegistryFile(azureProvider.get(), registryPath);
       case "":
       case "file":
         return new LocalRegistryFile(registryPath);
diff --git a/java/serving/src/test/java/feast/serving/it/ServingRedisAzureRegistryIT.java b/java/serving/src/test/java/feast/serving/it/ServingRedisAzureRegistryIT.java
new file mode 100644
index 0000000000..8ab658fc2a
--- /dev/null
+++ b/java/serving/src/test/java/feast/serving/it/ServingRedisAzureRegistryIT.java
@@ -0,0 +1,105 @@
+/*
+ * SPDX-License-Identifier: Apache-2.0
+ * Copyright 2018-2021 The Feast Authors
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     https://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package feast.serving.it;
+
+import com.azure.storage.blob.BlobClient;
+import com.azure.storage.blob.BlobServiceClient;
+import com.azure.storage.blob.BlobServiceClientBuilder;
+import com.azure.storage.common.StorageSharedKeyCredential;
+import com.google.inject.AbstractModule;
+import com.google.inject.Provides;
+import feast.proto.core.RegistryProto;
+import feast.serving.service.config.ApplicationProperties;
+import java.io.ByteArrayInputStream;
+import org.junit.jupiter.api.BeforeAll;
+import org.testcontainers.containers.GenericContainer;
+import org.testcontainers.containers.wait.strategy.Wait;
+import org.testcontainers.junit.jupiter.Container;
+
+public class ServingRedisAzureRegistryIT extends ServingBaseTests {
+  private static final String TEST_ACCOUNT_NAME = "devstoreaccount1";
+  private static final String TEST_ACCOUNT_KEY =
+      "Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==";
+  private static final int BLOB_STORAGE_PORT = 10000;
+  private static final String TEST_CONTAINER = "test-container";
+  private static final StorageSharedKeyCredential CREDENTIAL =
+      new StorageSharedKeyCredential(TEST_ACCOUNT_NAME, TEST_ACCOUNT_KEY);
+
+  @Container
+  static final GenericContainer<?> azureBlobMock =
+      new GenericContainer<>("mcr.microsoft.com/azure-storage/azurite:latest")
+          .waitingFor(Wait.forLogMessage("Azurite Blob service successfully listens on.*", 1))
+          .withExposedPorts(BLOB_STORAGE_PORT)
+          .withCommand("azurite-blob", "--blobHost", "0.0.0.0");
+
+  private static BlobServiceClient createClient() {
+    return new BlobServiceClientBuilder()
+        .endpoint(
+            String.format(
+                "http://localhost:%d/%s",
+                azureBlobMock.getMappedPort(BLOB_STORAGE_PORT), TEST_ACCOUNT_NAME))
+        .credential(CREDENTIAL)
+        .buildClient();
+  }
+
+  private static void putToStorage(RegistryProto.Registry registry) {
+    BlobServiceClient client = createClient();
+    BlobClient blobClient =
+        client.getBlobContainerClient(TEST_CONTAINER).getBlobClient("registry.db");
+
+    blobClient.upload(new ByteArrayInputStream(registry.toByteArray()));
+  }
+
+  @BeforeAll
+  static void setUp() {
+    BlobServiceClient client = createClient();
+    client.createBlobContainer(TEST_CONTAINER);
+
+    putToStorage(registryProto);
+  }
+
+  @Override
+  ApplicationProperties.FeastProperties createFeastProperties() {
+    final ApplicationProperties.FeastProperties feastProperties =
+        TestUtils.createBasicFeastProperties(
+            environment.getServiceHost("redis", 6379), environment.getServicePort("redis", 6379));
+    feastProperties.setRegistry(String.format("az://%s/registry.db", TEST_CONTAINER));
+
+    return feastProperties;
+  }
+
+  @Override
+  void updateRegistryFile(RegistryProto.Registry registry) {
+    putToStorage(registry);
+  }
+
+  @Override
+  AbstractModule registryConfig() {
+    return new AbstractModule() {
+      @Provides
+      public BlobServiceClient awsStorage() {
+        return new BlobServiceClientBuilder()
+            .endpoint(
+                String.format(
+                    "http://localhost:%d/%s",
+                    azureBlobMock.getMappedPort(BLOB_STORAGE_PORT), TEST_ACCOUNT_NAME))
+            .credential(CREDENTIAL)
+            .buildClient();
+      }
+    };
+  }
+}
diff --git a/java/serving/src/test/java/feast/serving/it/ServingRedisGSRegistryIT.java b/java/serving/src/test/java/feast/serving/it/ServingRedisGSRegistryIT.java
index 925f1887d2..96aa2077c0 100644
--- a/java/serving/src/test/java/feast/serving/it/ServingRedisGSRegistryIT.java
+++ b/java/serving/src/test/java/feast/serving/it/ServingRedisGSRegistryIT.java
@@ -16,47 +16,54 @@
  */
 package feast.serving.it;
 
-import static org.junit.jupiter.api.Assertions.assertArrayEquals;
-
+import com.google.auth.oauth2.AccessToken;
+import com.google.auth.oauth2.ServiceAccountCredentials;
 import com.google.cloud.storage.*;
-import com.google.cloud.storage.testing.RemoteStorageHelper;
+import com.google.inject.AbstractModule;
+import com.google.inject.Provides;
 import feast.proto.core.RegistryProto;
 import feast.serving.service.config.ApplicationProperties;
-import java.util.concurrent.ExecutionException;
-import java.util.concurrent.TimeUnit;
-import org.junit.jupiter.api.AfterAll;
 import org.junit.jupiter.api.BeforeAll;
+import org.testcontainers.containers.GenericContainer;
+import org.testcontainers.junit.jupiter.Container;
 
 public class ServingRedisGSRegistryIT extends ServingBaseTests {
-  static Storage storage =
-      RemoteStorageHelper.create()
-          .getOptions()
-          .toBuilder()
-          .setProjectId(System.getProperty("GCP_PROJECT", "kf-feast"))
-          .build()
-          .getService();
 
-  static final String bucket = RemoteStorageHelper.generateBucketName();
+  private static final String TEST_PROJECT = "test-project";
+  private static final String TEST_BUCKET = "test-bucket";
+  private static final BlobId blobId = BlobId.of(TEST_BUCKET, "registry.db");;
+  private static final int GCS_PORT = 4443;
 
-  static void putToStorage(BlobId blobId, RegistryProto.Registry registry) {
-    storage.create(BlobInfo.newBuilder(blobId).build(), registry.toByteArray());
+  @Container
+  static final GenericContainer<?> gcsMock =
+      new GenericContainer<>("fsouza/fake-gcs-server")
+          .withExposedPorts(GCS_PORT)
+          .withCreateContainerCmdModifier(
+              cmd -> cmd.withEntrypoint("/bin/fake-gcs-server", "-scheme", "http"));
 
-    assertArrayEquals(storage.get(blobId).getContent(), registry.toByteArray());
-  }
+  public static final AccessToken credential = new AccessToken("test-token", null);
 
-  static BlobId blobId;
+  static void putToStorage(RegistryProto.Registry registry) {
+    Storage gcsClient = createClient();
+
+    gcsClient.create(BlobInfo.newBuilder(blobId).build(), registry.toByteArray());
+  }
 
   @BeforeAll
   static void setUp() {
-    storage.create(BucketInfo.of(bucket));
-    blobId = BlobId.of(bucket, "registry.db");
+    Storage gcsClient = createClient();
+    gcsClient.create(BucketInfo.of(TEST_BUCKET));
 
-    putToStorage(blobId, registryProto);
+    putToStorage(registryProto);
   }
 
-  @AfterAll
-  static void tearDown() throws ExecutionException, InterruptedException {
-    RemoteStorageHelper.forceDelete(storage, bucket, 5, TimeUnit.SECONDS);
+  private static Storage createClient() {
+    return StorageOptions.newBuilder()
+        .setProjectId(TEST_PROJECT)
+        .setCredentials(ServiceAccountCredentials.create(credential))
+        .setHost("http://localhost:" + gcsMock.getMappedPort(GCS_PORT))
+        .build()
+        .getService();
   }
 
   @Override
@@ -71,6 +78,21 @@ ApplicationProperties.FeastProperties createFeastProperties() {
 
   @Override
   void updateRegistryFile(RegistryProto.Registry registry) {
-    putToStorage(blobId, registry);
+    putToStorage(registry);
+  }
+
+  @Override
+  AbstractModule registryConfig() {
+    return new AbstractModule() {
+      @Provides
+      Storage googleStorage(ApplicationProperties applicationProperties) {
+        return StorageOptions.newBuilder()
+            .setProjectId(TEST_PROJECT)
+            .setCredentials(ServiceAccountCredentials.create(credential))
+            .setHost("http://localhost:" + gcsMock.getMappedPort(GCS_PORT))
+            .build()
+            .getService();
+      }
+    };
   }
 }
diff --git a/java/serving/src/test/java/feast/serving/it/ServingRedisS3RegistryIT.java b/java/serving/src/test/java/feast/serving/it/ServingRedisS3RegistryIT.java
index 12315c9e48..52e1af9065 100644
--- a/java/serving/src/test/java/feast/serving/it/ServingRedisS3RegistryIT.java
+++ b/java/serving/src/test/java/feast/serving/it/ServingRedisS3RegistryIT.java
@@ -17,6 +17,8 @@
 package feast.serving.it;
 
 import com.adobe.testing.s3mock.testcontainers.S3MockContainer;
+import com.amazonaws.auth.AWSStaticCredentialsProvider;
+import com.amazonaws.auth.BasicAWSCredentials;
 import com.amazonaws.client.builder.AwsClientBuilder;
 import com.amazonaws.services.s3.AmazonS3;
 import com.amazonaws.services.s3.AmazonS3ClientBuilder;
@@ -30,13 +32,18 @@
 import org.testcontainers.junit.jupiter.Container;
 
 public class ServingRedisS3RegistryIT extends ServingBaseTests {
+  private static final String TEST_REGION = "us-east-1";
+  private static final String TEST_BUCKET = "test-bucket";
   @Container static final S3MockContainer s3Mock = new S3MockContainer("2.2.3");
+  private static final AWSStaticCredentialsProvider credentials =
+      new AWSStaticCredentialsProvider(new BasicAWSCredentials("anyAccessKey", "anySecretKey"));
 
   private static AmazonS3 createClient() {
     return AmazonS3ClientBuilder.standard()
         .withEndpointConfiguration(
             new AwsClientBuilder.EndpointConfiguration(
-                String.format("http://localhost:%d", s3Mock.getHttpServerPort()), "us-east-1"))
+                String.format("http://localhost:%d", s3Mock.getHttpServerPort()), TEST_REGION))
+        .withCredentials(credentials)
         .enablePathStyleAccess()
         .build();
   }
@@ -48,13 +55,13 @@ private static void putToStorage(RegistryProto.Registry proto) {
     metadata.setContentType("application/protobuf");
 
     AmazonS3 s3Client = createClient();
-    s3Client.putObject("test-bucket", "registry.db", new ByteArrayInputStream(bytes), metadata);
+    s3Client.putObject(TEST_BUCKET, "registry.db", new ByteArrayInputStream(bytes), metadata);
   }
 
   @BeforeAll
   static void setUp() {
     AmazonS3 s3Client = createClient();
-    s3Client.createBucket("test-bucket");
+    s3Client.createBucket(TEST_BUCKET);
 
     putToStorage(registryProto);
   }
@@ -64,7 +71,7 @@ ApplicationProperties.FeastProperties createFeastProperties() {
     final ApplicationProperties.FeastProperties feastProperties =
         TestUtils.createBasicFeastProperties(
             environment.getServiceHost("redis", 6379), environment.getServicePort("redis", 6379));
-    feastProperties.setRegistry("s3://test-bucket/registry.db");
+    feastProperties.setRegistry(String.format("s3://%s/registry.db", TEST_BUCKET));
 
     return feastProperties;
   }
@@ -82,7 +89,8 @@ public AmazonS3 awsStorage() {
         return AmazonS3ClientBuilder.standard()
             .withEndpointConfiguration(
                 new AwsClientBuilder.EndpointConfiguration(
-                    String.format("http://localhost:%d", s3Mock.getHttpServerPort()), "us-east-1"))
+                    String.format("http://localhost:%d", s3Mock.getHttpServerPort()), TEST_REGION))
+            .withCredentials(credentials)
             .enablePathStyleAccess()
             .build();
       }
diff --git a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile
index dee7dcf84c..7e36658cae 100644
--- a/java/serving/src/test/resources/docker-compose/feast10/Dockerfile
+++ b/java/serving/src/test/resources/docker-compose/feast10/Dockerfile
@@ -1,4 +1,4 @@
-FROM python:3.8
+FROM python:3.9
 
 WORKDIR /usr/src/
 
diff --git a/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh b/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh
index d7dcd03c5f..0690b734c3 100755
--- a/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh
+++ b/java/serving/src/test/resources/docker-compose/feast10/entrypoint.sh
@@ -4,8 +4,8 @@ set -e
 
 # feast root directory is expected to be mounted (eg, by docker compose)
 cd /mnt/feast
-pip install -e '.[redis]'
+pip install -e '.[grpcio,redis]'
 
 cd /app
 python materialize.py
-feast serve_transformations --port 8080
\ No newline at end of file
+feast serve_transformations --port 8080
diff --git a/protos/feast/core/OnDemandFeatureView.proto b/protos/feast/core/OnDemandFeatureView.proto
index 50bf8b6f55..7a5fec1650 100644
--- a/protos/feast/core/OnDemandFeatureView.proto
+++ b/protos/feast/core/OnDemandFeatureView.proto
@@ -27,6 +27,7 @@ import "feast/core/FeatureView.proto";
 import "feast/core/FeatureViewProjection.proto";
 import "feast/core/Feature.proto";
 import "feast/core/DataSource.proto";
+import "feast/core/Transformation.proto";
 
 message OnDemandFeatureView {
     // User-specified specifications of this feature view.
@@ -48,7 +49,10 @@ message OnDemandFeatureViewSpec {
     // Map of sources for this feature view.
     map<string, OnDemandSource> sources = 4;
 
-    UserDefinedFunction user_defined_function = 5;
+    UserDefinedFunction user_defined_function = 5 [deprecated = true];
+
+    // Oneof with {user_defined_function, on_demand_substrait_transformation}
+    FeatureTransformationV2 feature_transformation = 10;
 
     // Description of the on demand feature view.
     string description = 6;
@@ -58,6 +62,7 @@ message OnDemandFeatureViewSpec {
 
     // Owner of the on demand feature view.
     string owner = 8;
+    string mode = 11;
 }
 
 message OnDemandFeatureViewMeta {
@@ -78,6 +83,8 @@ message OnDemandSource {
 
 // Serialized representation of python function.
 message UserDefinedFunction {
+    option deprecated = true;
+
     // The function name
     string name = 1;
 
diff --git a/protos/feast/core/Registry.proto b/protos/feast/core/Registry.proto
index 7d80d8c837..0c3f8a53f9 100644
--- a/protos/feast/core/Registry.proto
+++ b/protos/feast/core/Registry.proto
@@ -27,7 +27,6 @@ import "feast/core/FeatureTable.proto";
 import "feast/core/FeatureView.proto";
 import "feast/core/InfraObject.proto";
 import "feast/core/OnDemandFeatureView.proto";
-import "feast/core/RequestFeatureView.proto";
 import "feast/core/StreamFeatureView.proto";
 import "feast/core/DataSource.proto";
 import "feast/core/SavedDataset.proto";
@@ -41,7 +40,6 @@ message Registry {
     repeated FeatureView feature_views = 6;
     repeated DataSource data_sources = 12;
     repeated OnDemandFeatureView on_demand_feature_views = 8;
-    repeated RequestFeatureView request_feature_views = 9;
     repeated StreamFeatureView stream_feature_views = 14;
     repeated FeatureService feature_services = 7;
     repeated SavedDataset saved_datasets = 11;
diff --git a/protos/feast/core/RequestFeatureView.proto b/protos/feast/core/RequestFeatureView.proto
deleted file mode 100644
index 4049053c2b..0000000000
--- a/protos/feast/core/RequestFeatureView.proto
+++ /dev/null
@@ -1,51 +0,0 @@
-//
-// Copyright 2021 The Feast Authors
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-//     https://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-//
-
-
-syntax = "proto3";
-package feast.core;
-
-option go_package = "github.com/feast-dev/feast/go/protos/feast/core";
-option java_outer_classname = "RequestFeatureViewProto";
-option java_package = "feast.proto.core";
-
-import "feast/core/DataSource.proto";
-
-message RequestFeatureView {
-    // User-specified specifications of this feature view.
-    RequestFeatureViewSpec spec = 1;
-}
-
-// Next available id: 7
-message RequestFeatureViewSpec {
-    // Name of the feature view. Must be unique. Not updated.
-    string name = 1;
-
-    // Name of Feast project that this feature view belongs to.
-    string project = 2;
-
-    // Request data which contains the underlying data schema and list of associated features
-    DataSource request_data_source = 3;
-
-    // Description of the request feature view.
-    string description = 4;
-
-    // User defined metadata.
-    map<string,string> tags = 5;
-
-    // Owner of the request feature view.
-    string owner = 6;
-}
diff --git a/protos/feast/core/StreamFeatureView.proto b/protos/feast/core/StreamFeatureView.proto
index 3181bdf360..cb7da0faf3 100644
--- a/protos/feast/core/StreamFeatureView.proto
+++ b/protos/feast/core/StreamFeatureView.proto
@@ -29,6 +29,7 @@ import "feast/core/FeatureView.proto";
 import "feast/core/Feature.proto";
 import "feast/core/DataSource.proto";
 import "feast/core/Aggregation.proto";
+import "feast/core/Transformation.proto";
 
 message StreamFeatureView {
     // User-specified specifications of this feature view.
@@ -77,7 +78,8 @@ message StreamFeatureViewSpec {
     bool online = 12;
 
     // Serialized function that is encoded in the streamfeatureview
-    UserDefinedFunction user_defined_function = 13;
+    UserDefinedFunction user_defined_function = 13 [deprecated = true];
+
 
     // Mode of execution
     string mode = 14;
@@ -87,5 +89,8 @@ message StreamFeatureViewSpec {
 
     // Timestamp field for aggregation
     string timestamp_field = 16;
+
+    // Oneof with {user_defined_function, on_demand_substrait_transformation}
+    FeatureTransformationV2 feature_transformation = 17;
 }
 
diff --git a/protos/feast/core/Transformation.proto b/protos/feast/core/Transformation.proto
new file mode 100644
index 0000000000..36f1e691fe
--- /dev/null
+++ b/protos/feast/core/Transformation.proto
@@ -0,0 +1,32 @@
+syntax = "proto3";
+package feast.core;
+
+option go_package = "github.com/feast-dev/feast/go/protos/feast/core";
+option java_outer_classname = "FeatureTransformationProto";
+option java_package = "feast.proto.core";
+
+import "google/protobuf/duration.proto";
+
+// Serialized representation of python function.
+message UserDefinedFunctionV2 {
+    // The function name
+    string name = 1;
+
+    // The python-syntax function body (serialized by dill)
+    bytes body = 2;
+
+    // The string representation of the udf
+    string body_text = 3;
+}
+
+// A feature transformation executed as a user-defined function
+message FeatureTransformationV2 {
+  oneof transformation {
+    UserDefinedFunctionV2 user_defined_function = 1;
+    SubstraitTransformationV2 substrait_transformation = 2;
+  }
+}
+
+message SubstraitTransformationV2 {
+  bytes substrait_plan = 1;
+}
diff --git a/protos/feast/registry/RegistryServer.proto b/protos/feast/registry/RegistryServer.proto
new file mode 100644
index 0000000000..e99987eb2d
--- /dev/null
+++ b/protos/feast/registry/RegistryServer.proto
@@ -0,0 +1,207 @@
+syntax = "proto3";
+
+package feast.registry;
+
+import "google/protobuf/empty.proto";
+import "feast/core/Registry.proto";
+import "feast/core/Entity.proto";
+import "feast/core/DataSource.proto";
+import "feast/core/FeatureView.proto";
+import "feast/core/StreamFeatureView.proto";
+import "feast/core/OnDemandFeatureView.proto";
+import "feast/core/FeatureService.proto";
+import "feast/core/SavedDataset.proto";
+import "feast/core/ValidationProfile.proto";
+import "feast/core/InfraObject.proto";
+
+service RegistryServer{
+  // Entity RPCs
+  rpc GetEntity (GetEntityRequest) returns (feast.core.Entity) {}
+  rpc ListEntities (ListEntitiesRequest) returns (ListEntitiesResponse) {}
+  
+  // DataSource RPCs
+  rpc GetDataSource (GetDataSourceRequest) returns (feast.core.DataSource) {}
+  rpc ListDataSources (ListDataSourcesRequest) returns (ListDataSourcesResponse) {}
+
+  // FeatureView RPCs
+  rpc GetFeatureView (GetFeatureViewRequest) returns (feast.core.FeatureView) {}
+  rpc ListFeatureViews (ListFeatureViewsRequest) returns (ListFeatureViewsResponse) {}
+
+  // StreamFeatureView RPCs
+  rpc GetStreamFeatureView (GetStreamFeatureViewRequest) returns (feast.core.StreamFeatureView) {}
+  rpc ListStreamFeatureViews (ListStreamFeatureViewsRequest) returns (ListStreamFeatureViewsResponse) {}
+
+  // OnDemandFeatureView RPCs
+  rpc GetOnDemandFeatureView (GetOnDemandFeatureViewRequest) returns (feast.core.OnDemandFeatureView) {}
+  rpc ListOnDemandFeatureViews (ListOnDemandFeatureViewsRequest) returns (ListOnDemandFeatureViewsResponse) {}
+
+  // FeatureService RPCs
+  rpc GetFeatureService (GetFeatureServiceRequest) returns (feast.core.FeatureService) {}
+  rpc ListFeatureServices (ListFeatureServicesRequest) returns (ListFeatureServicesResponse) {}
+
+  // SavedDataset RPCs
+  rpc GetSavedDataset (GetSavedDatasetRequest) returns (feast.core.SavedDataset) {}
+  rpc ListSavedDatasets (ListSavedDatasetsRequest) returns (ListSavedDatasetsResponse) {}
+
+  // ValidationReference RPCs
+  rpc GetValidationReference (GetValidationReferenceRequest) returns (feast.core.ValidationReference) {}
+  rpc ListValidationReferences (ListValidationReferencesRequest) returns (ListValidationReferencesResponse) {}
+
+  rpc ListProjectMetadata (ListProjectMetadataRequest) returns (ListProjectMetadataResponse) {}
+  rpc GetInfra (GetInfraRequest) returns (feast.core.Infra) {}
+  rpc Refresh (RefreshRequest) returns (google.protobuf.Empty) {}
+  rpc Proto (google.protobuf.Empty) returns (feast.core.Registry) {}
+
+}
+
+message RefreshRequest {
+  string project = 1;
+}
+
+message GetInfraRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListProjectMetadataRequest {
+  string project = 1;
+  bool allow_cache = 2;    
+}
+
+message ListProjectMetadataResponse {
+  repeated feast.core.ProjectMetadata project_metadata = 1;     
+}
+
+message GetEntityRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListEntitiesRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListEntitiesResponse {
+    repeated feast.core.Entity entities = 1;
+}
+
+// DataSources
+
+message GetDataSourceRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListDataSourcesRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListDataSourcesResponse {
+    repeated feast.core.DataSource data_sources = 1;
+}
+
+// FeatureViews
+
+message GetFeatureViewRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListFeatureViewsRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListFeatureViewsResponse {
+    repeated feast.core.FeatureView feature_views = 1;
+}
+
+// StreamFeatureView
+
+message GetStreamFeatureViewRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListStreamFeatureViewsRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListStreamFeatureViewsResponse {
+    repeated feast.core.StreamFeatureView stream_feature_views = 1;
+}
+
+// OnDemandFeatureView
+
+message GetOnDemandFeatureViewRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListOnDemandFeatureViewsRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListOnDemandFeatureViewsResponse {
+    repeated feast.core.OnDemandFeatureView on_demand_feature_views = 1;
+}
+
+// FeatureServices
+
+message GetFeatureServiceRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListFeatureServicesRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListFeatureServicesResponse {
+    repeated feast.core.FeatureService feature_services = 1;
+}
+
+// SavedDataset
+
+message GetSavedDatasetRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListSavedDatasetsRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListSavedDatasetsResponse {
+    repeated feast.core.SavedDataset saved_datasets = 1;
+}
+
+// ValidationReference
+
+message GetValidationReferenceRequest {
+    string name = 1;
+    string project = 2;
+    bool allow_cache = 3;
+}
+
+message ListValidationReferencesRequest {
+    string project = 1;
+    bool allow_cache = 2;
+}
+
+message ListValidationReferencesResponse {
+    repeated feast.core.ValidationReference validation_references = 1;
+}
diff --git a/pyproject.toml b/pyproject.toml
index c89f1d9cc7..00170ab443 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -5,27 +5,25 @@ build-backend = "setuptools.build_meta"
 [tool.setuptools_scm]
 # Including this section is comparable to supplying use_scm_version=True in setup.py.
 
-[tool.black]
+[tool.ruff]
 line-length = 88
-target-version = ['py38']
-include = '\.pyi?$'
-exclude = '''
-(
-  /(
-      \.eggs         # exclude a few common directories in the
-    | \.git          # root of the project
-    | \.hg
-    | \.mypy_cache
-    | \.tox
-    | \.venv
-    | _build
-    | buck-out
-    | build
-    | dist
-    | pb2.py
-    | \.pyi
-    | protos
-    | sdk/python/feast/embedded_go/lib
-  )/
-)
-'''
+target-version = "py39"
+include = ["*.py", "*.pyi"]
+
+[tool.ruff.format]
+# exclude a few common directories in the root of the project
+exclude = [ 
+  ".eggs", 
+  ".git", 
+  ".hg", 
+  ".mypy_cache",
+  ".tox", 
+  ".venv", 
+  "_build", 
+  "buck-out",
+  "build",
+  "dist",
+  "pb2.py",
+  ".pyi",
+  "protos",
+  "sdk/python/feast/embedded_go/lib"]
diff --git a/sdk/python/docs/source/feast.protos.feast.core.rst b/sdk/python/docs/source/feast.protos.feast.core.rst
index aaed49cd73..5da16d2a26 100644
--- a/sdk/python/docs/source/feast.protos.feast.core.rst
+++ b/sdk/python/docs/source/feast.protos.feast.core.rst
@@ -228,22 +228,6 @@ feast.protos.feast.core.Registry\_pb2\_grpc module
    :undoc-members:
    :show-inheritance:
 
-feast.protos.feast.core.RequestFeatureView\_pb2 module
-------------------------------------------------------
-
-.. automodule:: feast.protos.feast.core.RequestFeatureView_pb2
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
-feast.protos.feast.core.RequestFeatureView\_pb2\_grpc module
-------------------------------------------------------------
-
-.. automodule:: feast.protos.feast.core.RequestFeatureView_pb2_grpc
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 feast.protos.feast.core.SavedDataset\_pb2 module
 ------------------------------------------------
 
diff --git a/sdk/python/docs/source/feast.rst b/sdk/python/docs/source/feast.rst
index b0ed92c4cc..abb8783bf0 100644
--- a/sdk/python/docs/source/feast.rst
+++ b/sdk/python/docs/source/feast.rst
@@ -273,14 +273,6 @@ feast.repo\_upgrade module
    :undoc-members:
    :show-inheritance:
 
-feast.request\_feature\_view module
------------------------------------
-
-.. automodule:: feast.request_feature_view
-   :members:
-   :undoc-members:
-   :show-inheritance:
-
 feast.saved\_dataset module
 ---------------------------
 
diff --git a/sdk/python/feast/__init__.py b/sdk/python/feast/__init__.py
index d043f1a973..f51eb2983c 100644
--- a/sdk/python/feast/__init__.py
+++ b/sdk/python/feast/__init__.py
@@ -2,7 +2,8 @@
     from importlib.metadata import PackageNotFoundError
     from importlib.metadata import version as _version
 except ModuleNotFoundError:
-    from importlib_metadata import PackageNotFoundError, version as _version  # type: ignore
+    from importlib_metadata import PackageNotFoundError  # type: ignore
+    from importlib_metadata import version as _version
 
 from feast.infra.offline_stores.bigquery_source import BigQuerySource
 from feast.infra.offline_stores.contrib.athena_offline_store.athena_source import (
@@ -22,7 +23,6 @@
 from .field import Field
 from .on_demand_feature_view import OnDemandFeatureView
 from .repo_config import RepoConfig
-from .request_feature_view import RequestFeatureView
 from .stream_feature_view import StreamFeatureView
 from .value_type import ValueType
 
@@ -49,7 +49,6 @@
     "BigQuerySource",
     "FileSource",
     "RedshiftSource",
-    "RequestFeatureView",
     "SnowflakeSource",
     "PushSource",
     "RequestSource",
diff --git a/sdk/python/feast/base_feature_view.py b/sdk/python/feast/base_feature_view.py
index 975537a394..31140e2899 100644
--- a/sdk/python/feast/base_feature_view.py
+++ b/sdk/python/feast/base_feature_view.py
@@ -13,13 +13,20 @@
 # limitations under the License.
 from abc import ABC, abstractmethod
 from datetime import datetime
-from typing import Dict, List, Optional, Type
+from typing import Dict, List, Optional, Type, Union
 
 from google.protobuf.json_format import MessageToJson
-from proto import Message
+from google.protobuf.message import Message
 
 from feast.feature_view_projection import FeatureViewProjection
 from feast.field import Field
+from feast.protos.feast.core.FeatureView_pb2 import FeatureView as FeatureViewProto
+from feast.protos.feast.core.OnDemandFeatureView_pb2 import (
+    OnDemandFeatureView as OnDemandFeatureViewProto,
+)
+from feast.protos.feast.core.StreamFeatureView_pb2 import (
+    StreamFeatureView as StreamFeatureViewProto,
+)
 
 
 class BaseFeatureView(ABC):
@@ -89,7 +96,9 @@ def proto_class(self) -> Type[Message]:
         pass
 
     @abstractmethod
-    def to_proto(self) -> Message:
+    def to_proto(
+        self,
+    ) -> Union[FeatureViewProto, OnDemandFeatureViewProto, StreamFeatureViewProto]:
         pass
 
     @classmethod
diff --git a/sdk/python/feast/cli.py b/sdk/python/feast/cli.py
index 2eb2c27bcb..7673eee20d 100644
--- a/sdk/python/feast/cli.py
+++ b/sdk/python/feast/cli.py
@@ -25,7 +25,10 @@
 from pygments import formatters, highlight, lexers
 
 from feast import utils
-from feast.constants import DEFAULT_FEATURE_TRANSFORMATION_SERVER_PORT
+from feast.constants import (
+    DEFAULT_FEATURE_TRANSFORMATION_SERVER_PORT,
+    DEFAULT_REGISTRY_SERVER_PORT,
+)
 from feast.errors import FeastObjectNotFoundException, FeastProviderLoginError
 from feast.feature_view import FeatureView
 from feast.infra.contrib.grpc_server import get_grpc_server
@@ -73,6 +76,7 @@ def format_options(self, ctx: click.Context, formatter: click.HelpFormatter):
 )
 @click.option(
     "--feature-store-yaml",
+    "-f",
     help="Override the directory where the CLI should look for the feature_store.yaml file.",
 )
 @click.pass_context
@@ -377,7 +381,6 @@ def feature_view_list(ctx: click.Context):
     table = []
     for feature_view in [
         *store.list_feature_views(),
-        *store.list_request_feature_views(),
         *store.list_on_demand_feature_views(),
     ]:
         entities = set()
@@ -753,6 +756,22 @@ def serve_transformations_command(ctx: click.Context, port: int):
     store.serve_transformations(port)
 
 
+@cli.command("serve_registry")
+@click.option(
+    "--port",
+    "-p",
+    type=click.INT,
+    default=DEFAULT_REGISTRY_SERVER_PORT,
+    help="Specify a port for the server",
+)
+@click.pass_context
+def serve_registry_command(ctx: click.Context, port: int):
+    """Start a registry server locally on a given port."""
+    store = create_feature_store(ctx)
+
+    store.serve_registry(port)
+
+
 @cli.command("validate")
 @click.option(
     "--feature-service",
diff --git a/sdk/python/feast/constants.py b/sdk/python/feast/constants.py
index 574d79f416..f986577117 100644
--- a/sdk/python/feast/constants.py
+++ b/sdk/python/feast/constants.py
@@ -29,11 +29,11 @@
 # Environment variable for registry
 REGISTRY_ENV_NAME: str = "REGISTRY_BASE64"
 
-# Environment variable for toggling usage
+# Environment variable for toggling the Usage feature
 FEAST_USAGE = "FEAST_USAGE"
 
-# Default value for FEAST_USAGE when environment variable is not set
-DEFAULT_FEAST_USAGE_VALUE = "True"
+# Environment variable for FEAST_USAGE_ENDPOINT
+FEAST_USAGE_ENDPOINT = "FEAST_USAGE_ENDPOINT"
 
 # Environment variable for the path for overwriting universal test configs
 FULL_REPO_CONFIGS_MODULE_ENV_NAME: str = "FULL_REPO_CONFIGS_MODULE"
@@ -44,5 +44,11 @@
 # Default FTS port
 DEFAULT_FEATURE_TRANSFORMATION_SERVER_PORT = 6569
 
+# Default registry server port
+DEFAULT_REGISTRY_SERVER_PORT = 6570
+
 # Environment variable for feature server docker image tag
 DOCKER_IMAGE_TAG_ENV_NAME: str = "FEAST_SERVER_DOCKER_IMAGE_TAG"
+
+# Default feature server registry ttl (seconds)
+DEFAULT_FEATURE_SERVER_REGISTRY_TTL = 5
diff --git a/sdk/python/feast/data_source.py b/sdk/python/feast/data_source.py
index b7ce19aad9..17fbfd5fcf 100644
--- a/sdk/python/feast/data_source.py
+++ b/sdk/python/feast/data_source.py
@@ -11,7 +11,6 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-
 import enum
 import warnings
 from abc import ABC, abstractmethod
@@ -485,12 +484,12 @@ def to_proto(self) -> DataSourceProto:
         return data_source_proto
 
     def validate(self, config: RepoConfig):
-        pass
+        raise NotImplementedError
 
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
-        pass
+        raise NotImplementedError
 
     @staticmethod
     def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
@@ -534,12 +533,12 @@ def __init__(
         self.schema = schema
 
     def validate(self, config: RepoConfig):
-        pass
+        raise NotImplementedError
 
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
-        pass
+        raise NotImplementedError
 
     def __eq__(self, other):
         if not isinstance(other, RequestSource):
@@ -577,7 +576,6 @@ def from_proto(data_source: DataSourceProto):
         )
 
     def to_proto(self) -> DataSourceProto:
-
         schema_pb = []
 
         if isinstance(self.schema, Dict):
@@ -610,12 +608,12 @@ def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
 @typechecked
 class KinesisSource(DataSource):
     def validate(self, config: RepoConfig):
-        pass
+        raise NotImplementedError
 
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
-        pass
+        raise NotImplementedError
 
     @staticmethod
     def from_proto(data_source: DataSourceProto):
@@ -639,7 +637,7 @@ def from_proto(data_source: DataSourceProto):
 
     @staticmethod
     def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
-        pass
+        raise NotImplementedError
 
     def get_table_query_string(self) -> str:
         raise NotImplementedError
@@ -772,12 +770,12 @@ def __hash__(self):
         return super().__hash__()
 
     def validate(self, config: RepoConfig):
-        pass
+        raise NotImplementedError
 
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
-        pass
+        raise NotImplementedError
 
     @staticmethod
     def from_proto(data_source: DataSourceProto):
diff --git a/sdk/python/feast/diff/registry_diff.py b/sdk/python/feast/diff/registry_diff.py
index 15f880e392..b608757496 100644
--- a/sdk/python/feast/diff/registry_diff.py
+++ b/sdk/python/feast/diff/registry_diff.py
@@ -20,9 +20,6 @@
     OnDemandFeatureView as OnDemandFeatureViewProto,
 )
 from feast.protos.feast.core.OnDemandFeatureView_pb2 import OnDemandFeatureViewSpec
-from feast.protos.feast.core.RequestFeatureView_pb2 import (
-    RequestFeatureView as RequestFeatureViewProto,
-)
 from feast.protos.feast.core.StreamFeatureView_pb2 import (
     StreamFeatureView as StreamFeatureViewProto,
 )
@@ -110,7 +107,6 @@ def tag_objects_for_keep_delete_update_add(
     FeatureViewProto,
     FeatureServiceProto,
     OnDemandFeatureViewProto,
-    RequestFeatureViewProto,
     StreamFeatureViewProto,
     ValidationReferenceProto,
 )
@@ -144,11 +140,26 @@ def diff_registry_objects(
             if _field.name in FIELDS_TO_IGNORE:
                 continue
             elif getattr(current_spec, _field.name) != getattr(new_spec, _field.name):
-                if _field.name == "user_defined_function":
+                if _field.name == "feature_transformation":
                     current_spec = cast(OnDemandFeatureViewSpec, current_spec)
                     new_spec = cast(OnDemandFeatureViewSpec, new_spec)
-                    current_udf = current_spec.user_defined_function
-                    new_udf = new_spec.user_defined_function
+                    # Check if the old proto is populated and use that if it is
+                    feature_transformation_udf = (
+                        current_spec.feature_transformation.user_defined_function
+                    )
+                    if (
+                        current_spec.HasField("user_defined_function")
+                        and not feature_transformation_udf
+                    ):
+                        deprecated_udf = current_spec.user_defined_function
+                    else:
+                        deprecated_udf = None
+                    current_udf = (
+                        deprecated_udf
+                        if deprecated_udf is not None
+                        else feature_transformation_udf
+                    )
+                    new_udf = new_spec.feature_transformation.user_defined_function
                     for _udf_field in current_udf.DESCRIPTOR.fields:
                         if _udf_field.name == "body":
                             continue
@@ -205,12 +216,12 @@ def extract_objects_for_keep_delete_update_add(
     objs_to_update = {}
     objs_to_add = {}
 
-    registry_object_type_to_objects: Dict[
-        FeastObjectType, List[Any]
-    ] = FeastObjectType.get_objects_from_registry(registry, current_project)
-    registry_object_type_to_repo_contents: Dict[
-        FeastObjectType, List[Any]
-    ] = FeastObjectType.get_objects_from_repo_contents(desired_repo_contents)
+    registry_object_type_to_objects: Dict[FeastObjectType, List[Any]] = (
+        FeastObjectType.get_objects_from_registry(registry, current_project)
+    )
+    registry_object_type_to_repo_contents: Dict[FeastObjectType, List[Any]] = (
+        FeastObjectType.get_objects_from_repo_contents(desired_repo_contents)
+    )
 
     for object_type in FEAST_OBJECT_TYPES:
         (
@@ -324,7 +335,6 @@ def apply_diff_to_registry(
             elif feast_object_diff.feast_object_type in [
                 FeastObjectType.FEATURE_VIEW,
                 FeastObjectType.ON_DEMAND_FEATURE_VIEW,
-                FeastObjectType.REQUEST_FEATURE_VIEW,
                 FeastObjectType.STREAM_FEATURE_VIEW,
             ]:
                 feature_view_obj = cast(
@@ -368,7 +378,6 @@ def apply_diff_to_registry(
             elif feast_object_diff.feast_object_type in [
                 FeastObjectType.FEATURE_VIEW,
                 FeastObjectType.ON_DEMAND_FEATURE_VIEW,
-                FeastObjectType.REQUEST_FEATURE_VIEW,
                 FeastObjectType.STREAM_FEATURE_VIEW,
             ]:
                 registry.apply_feature_view(
diff --git a/sdk/python/feast/dqm/profilers/profiler.py b/sdk/python/feast/dqm/profilers/profiler.py
index 34496b0cca..03481bdc99 100644
--- a/sdk/python/feast/dqm/profilers/profiler.py
+++ b/sdk/python/feast/dqm/profilers/profiler.py
@@ -15,13 +15,11 @@ def validate(self, dataset: pd.DataFrame) -> "ValidationReport":
         ...
 
     @abc.abstractmethod
-    def to_proto(self):
-        ...
+    def to_proto(self): ...
 
     @classmethod
     @abc.abstractmethod
-    def from_proto(cls, proto) -> "Profile":
-        ...
+    def from_proto(cls, proto) -> "Profile": ...
 
 
 class Profiler:
@@ -34,13 +32,11 @@ def analyze_dataset(self, dataset: pd.DataFrame) -> Profile:
         ...
 
     @abc.abstractmethod
-    def to_proto(self):
-        ...
+    def to_proto(self): ...
 
     @classmethod
     @abc.abstractmethod
-    def from_proto(cls, proto) -> "Profiler":
-        ...
+    def from_proto(cls, proto) -> "Profiler": ...
 
 
 class ValidationReport:
diff --git a/sdk/python/feast/driver_test_data.py b/sdk/python/feast/driver_test_data.py
index 58c3e8db8f..7959046e6e 100644
--- a/sdk/python/feast/driver_test_data.py
+++ b/sdk/python/feast/driver_test_data.py
@@ -103,7 +103,7 @@ def create_driver_hourly_stats_df(drivers, start_date, end_date) -> pd.DataFrame
             "event_timestamp": [
                 pd.Timestamp(dt, unit="ms", tz="UTC").round("ms")
                 for dt in pd.date_range(
-                    start=start_date, end=end_date, freq="1H", inclusive="left"
+                    start=start_date, end=end_date, freq="1h", inclusive="left"
                 )
             ]
             # include a fixed timestamp for get_historical_features in the quickstart
@@ -209,7 +209,7 @@ def create_location_stats_df(locations, start_date, end_date) -> pd.DataFrame:
             "event_timestamp": [
                 pd.Timestamp(dt, unit="ms", tz="UTC").round("ms")
                 for dt in pd.date_range(
-                    start=start_date, end=end_date, freq="1H", inclusive="left"
+                    start=start_date, end=end_date, freq="1h", inclusive="left"
                 )
             ]
         }
diff --git a/sdk/python/feast/embedded_go/__init__.py b/sdk/python/feast/embedded_go/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/embedded_go/online_features_service.py b/sdk/python/feast/embedded_go/online_features_service.py
index bf82fab6a3..56427f61e6 100644
--- a/sdk/python/feast/embedded_go/online_features_service.py
+++ b/sdk/python/feast/embedded_go/online_features_service.py
@@ -65,7 +65,6 @@ def get_online_features(
         request_data: Dict[str, Union[List[Any], Value_pb2.RepeatedValue]],
         full_feature_names: bool = False,
     ):
-
         if feature_service:
             join_keys_types = self._service.GetEntityTypesMapByFeatureService(
                 feature_service.name
@@ -252,6 +251,11 @@ def transformation_callback(
     # the typeguard requirement.
     full_feature_names = bool(full_feature_names)
 
+    if odfv.mode != "pandas":
+        raise Exception(
+            f"OnDemandFeatureView mode '{odfv.mode} not supported by EmbeddedOnlineFeatureServer."
+        )
+
     output = odfv.get_transformed_features_df(
         input_record.to_pandas(), full_feature_names=full_feature_names
     )
diff --git a/sdk/python/feast/errors.py b/sdk/python/feast/errors.py
index 9097e40c94..b7151ff0c8 100644
--- a/sdk/python/feast/errors.py
+++ b/sdk/python/feast/errors.py
@@ -415,3 +415,8 @@ def __init__(self):
 class PushSourceNotFoundException(Exception):
     def __init__(self, push_source_name: str):
         super().__init__(f"Unable to find push source '{push_source_name}'.")
+
+
+class ReadOnlyRegistryException(Exception):
+    def __init__(self):
+        super().__init__("Registry implementation is read-only.")
diff --git a/sdk/python/feast/feast_object.py b/sdk/python/feast/feast_object.py
index 7cccf26455..2d06d8d669 100644
--- a/sdk/python/feast/feast_object.py
+++ b/sdk/python/feast/feast_object.py
@@ -11,12 +11,10 @@
 from .protos.feast.core.FeatureService_pb2 import FeatureServiceSpec
 from .protos.feast.core.FeatureView_pb2 import FeatureViewSpec
 from .protos.feast.core.OnDemandFeatureView_pb2 import OnDemandFeatureViewSpec
-from .protos.feast.core.RequestFeatureView_pb2 import RequestFeatureViewSpec
 from .protos.feast.core.StreamFeatureView_pb2 import StreamFeatureViewSpec
 from .protos.feast.core.ValidationProfile_pb2 import (
     ValidationReference as ValidationReferenceProto,
 )
-from .request_feature_view import RequestFeatureView
 from .saved_dataset import ValidationReference
 from .stream_feature_view import StreamFeatureView
 
@@ -24,7 +22,6 @@
 FeastObject = Union[
     FeatureView,
     OnDemandFeatureView,
-    RequestFeatureView,
     BatchFeatureView,
     StreamFeatureView,
     Entity,
@@ -36,7 +33,6 @@
 FeastObjectSpecProto = Union[
     FeatureViewSpec,
     OnDemandFeatureViewSpec,
-    RequestFeatureViewSpec,
     StreamFeatureViewSpec,
     EntitySpecV2,
     FeatureServiceSpec,
diff --git a/sdk/python/feast/feature_logging.py b/sdk/python/feast/feature_logging.py
index bd45c09b0a..2843f87121 100644
--- a/sdk/python/feast/feature_logging.py
+++ b/sdk/python/feast/feature_logging.py
@@ -86,15 +86,15 @@ def get_schema(self, registry: "BaseRegistry") -> pa.Schema:
                     fields[join_key] = FEAST_TYPE_TO_ARROW_TYPE[entity_column.dtype]
 
             for feature in projection.features:
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}"
-                ] = FEAST_TYPE_TO_ARROW_TYPE[feature.dtype]
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}__timestamp"
-                ] = PA_TIMESTAMP_TYPE
-                fields[
-                    f"{projection.name_to_use()}__{feature.name}__status"
-                ] = pa.int32()
+                fields[f"{projection.name_to_use()}__{feature.name}"] = (
+                    FEAST_TYPE_TO_ARROW_TYPE[feature.dtype]
+                )
+                fields[f"{projection.name_to_use()}__{feature.name}__timestamp"] = (
+                    PA_TIMESTAMP_TYPE
+                )
+                fields[f"{projection.name_to_use()}__{feature.name}__status"] = (
+                    pa.int32()
+                )
 
         # system columns
         fields[LOG_TIMESTAMP_FIELD] = pa.timestamp("us", tz=UTC)
diff --git a/sdk/python/feast/feature_server.py b/sdk/python/feast/feature_server.py
index 618aefb2f2..4b0e50a06d 100644
--- a/sdk/python/feast/feature_server.py
+++ b/sdk/python/feast/feature_server.py
@@ -1,10 +1,10 @@
 import json
+import sys
 import threading
 import traceback
 import warnings
 from typing import List, Optional
 
-import gunicorn.app.base
 import pandas as pd
 from dateutil import parser
 from fastapi import FastAPI, HTTPException, Request, Response, status
@@ -15,6 +15,7 @@
 
 import feast
 from feast import proto_json, utils
+from feast.constants import DEFAULT_FEATURE_SERVER_REGISTRY_TTL
 from feast.data_source import PushMode
 from feast.errors import PushSourceNotFoundException
 from feast.protos.feast.serving.ServingService_pb2 import GetOnlineFeaturesRequest
@@ -45,7 +46,10 @@ class MaterializeIncrementalRequest(BaseModel):
     feature_views: Optional[List[str]] = None
 
 
-def get_app(store: "feast.FeatureStore", registry_ttl_sec: int = 5):
+def get_app(
+    store: "feast.FeatureStore",
+    registry_ttl_sec: int = DEFAULT_FEATURE_SERVER_REGISTRY_TTL,
+):
     proto_json.patch()
 
     app = FastAPI()
@@ -202,24 +206,27 @@ def materialize_incremental(body=Depends(get_body)):
     return app
 
 
-class FeastServeApplication(gunicorn.app.base.BaseApplication):
-    def __init__(self, store: "feast.FeatureStore", **options):
-        self._app = get_app(
-            store=store,
-            registry_ttl_sec=options.get("registry_ttl_sec", 5),
-        )
-        self._options = options
-        super().__init__()
+if sys.platform != "win32":
+    import gunicorn.app.base
 
-    def load_config(self):
-        for key, value in self._options.items():
-            if key.lower() in self.cfg.settings and value is not None:
-                self.cfg.set(key.lower(), value)
+    class FeastServeApplication(gunicorn.app.base.BaseApplication):
+        def __init__(self, store: "feast.FeatureStore", **options):
+            self._app = get_app(
+                store=store,
+                registry_ttl_sec=options["registry_ttl_sec"],
+            )
+            self._options = options
+            super().__init__()
+
+        def load_config(self):
+            for key, value in self._options.items():
+                if key.lower() in self.cfg.settings and value is not None:
+                    self.cfg.set(key.lower(), value)
 
-        self.cfg.set("worker_class", "uvicorn.workers.UvicornWorker")
+            self.cfg.set("worker_class", "uvicorn.workers.UvicornWorker")
 
-    def load(self):
-        return self._app
+        def load(self):
+            return self._app
 
 
 def start_server(
@@ -229,13 +236,19 @@ def start_server(
     no_access_log: bool,
     workers: int,
     keep_alive_timeout: int,
-    registry_ttl_sec: int = 5,
+    registry_ttl_sec: int,
 ):
-    FeastServeApplication(
-        store=store,
-        bind=f"{host}:{port}",
-        accesslog=None if no_access_log else "-",
-        workers=workers,
-        keepalive=keep_alive_timeout,
-        registry_ttl_sec=registry_ttl_sec,
-    ).run()
+    if sys.platform != "win32":
+        FeastServeApplication(
+            store=store,
+            bind=f"{host}:{port}",
+            accesslog=None if no_access_log else "-",
+            workers=workers,
+            keepalive=keep_alive_timeout,
+            registry_ttl_sec=registry_ttl_sec,
+        ).run()
+    else:
+        import uvicorn
+
+        app = get_app(store, registry_ttl_sec)
+        uvicorn.run(app, host=host, port=port, access_log=(not no_access_log))
diff --git a/sdk/python/feast/feature_service.py b/sdk/python/feast/feature_service.py
index c3037a55da..7ec923205a 100644
--- a/sdk/python/feast/feature_service.py
+++ b/sdk/python/feast/feature_service.py
@@ -56,7 +56,7 @@ def __init__(
         *,
         name: str,
         features: List[Union[FeatureView, OnDemandFeatureView]],
-        tags: Dict[str, str] = None,
+        tags: Optional[Dict[str, str]] = None,
         description: str = "",
         owner: str = "",
         logging_config: Optional[LoggingConfig] = None,
diff --git a/sdk/python/feast/feature_store.py b/sdk/python/feast/feature_store.py
index d3f98f8032..15598e1d60 100644
--- a/sdk/python/feast/feature_store.py
+++ b/sdk/python/feast/feature_store.py
@@ -82,6 +82,7 @@
 from feast.infra.registry.sql import SqlRegistry
 from feast.on_demand_feature_view import OnDemandFeatureView
 from feast.online_response import OnlineResponse
+from feast.protos.feast.core.InfraObject_pb2 import Infra as InfraProto
 from feast.protos.feast.serving.ServingService_pb2 import (
     FieldStatus,
     GetOnlineFeaturesResponse,
@@ -90,7 +91,6 @@
 from feast.protos.feast.types.Value_pb2 import RepeatedValue, Value
 from feast.repo_config import RepoConfig, load_repo_config
 from feast.repo_contents import RepoContents
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, SavedDatasetStorage, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
 from feast.type_map import python_values_to_proto_values
@@ -164,6 +164,10 @@ def __init__(
             self._registry = SnowflakeRegistry(
                 registry_config, self.config.project, None
             )
+        elif registry_config and registry_config.registry_type == "remote":
+            from feast.infra.registry.remote import RemoteRegistry
+
+            self._registry = RemoteRegistry(registry_config, self.config.project, None)
         else:
             r = Registry(self.config.project, registry_config, repo_path=self.repo_path)
             r._initialize_registry(self.config.project)
@@ -261,23 +265,6 @@ def list_feature_views(self, allow_cache: bool = False) -> List[FeatureView]:
         """
         return self._list_feature_views(allow_cache)
 
-    @log_exceptions_and_usage
-    def list_request_feature_views(
-        self, allow_cache: bool = False
-    ) -> List[RequestFeatureView]:
-        """
-        Retrieves the list of feature views from the registry.
-
-        Args:
-            allow_cache: Whether to allow returning entities from a cached registry.
-
-        Returns:
-            A list of feature views.
-        """
-        return self._registry.list_request_feature_views(
-            self.project, allow_cache=allow_cache
-        )
-
     def _list_feature_views(
         self,
         allow_cache: bool = False,
@@ -557,7 +544,6 @@ def _validate_all_feature_views(
         self,
         views_to_update: List[FeatureView],
         odfvs_to_update: List[OnDemandFeatureView],
-        request_views_to_update: List[RequestFeatureView],
         sfvs_to_update: List[StreamFeatureView],
     ):
         """Validates all feature views."""
@@ -572,7 +558,6 @@ def _validate_all_feature_views(
             [
                 *views_to_update,
                 *odfvs_to_update,
-                *request_views_to_update,
                 *sfvs_to_update,
             ]
         )
@@ -711,7 +696,6 @@ def plan(
             ...     feature_views=[driver_hourly_stats_view],
             ...     on_demand_feature_views=list(),
             ...     stream_feature_views=list(),
-            ...     request_feature_views=list(),
             ...     entities=[driver],
             ...     feature_services=list())) # register entity and feature view
         """
@@ -719,7 +703,6 @@ def plan(
         self._validate_all_feature_views(
             desired_repo_contents.feature_views,
             desired_repo_contents.on_demand_feature_views,
-            desired_repo_contents.request_feature_views,
             desired_repo_contents.stream_feature_views,
         )
         _validate_data_sources(desired_repo_contents.data_sources)
@@ -741,7 +724,8 @@ def plan(
         # Compute the desired difference between the current infra, as stored in the registry,
         # and the desired infra.
         self._registry.refresh(project=self.project)
-        current_infra_proto = self._registry.proto().infra.__deepcopy__()
+        current_infra_proto = InfraProto()
+        current_infra_proto.CopyFrom(self._registry.proto().infra)
         desired_registry_proto = desired_repo_contents.to_registry_proto()
         new_infra = self._provider.plan_infra(self.config, desired_registry_proto)
         new_infra_proto = new_infra.to_proto()
@@ -775,7 +759,6 @@ def apply(
             Entity,
             FeatureView,
             OnDemandFeatureView,
-            RequestFeatureView,
             BatchFeatureView,
             StreamFeatureView,
             FeatureService,
@@ -835,16 +818,14 @@ def apply(
         views_to_update = [
             ob
             for ob in objects
-            if (
+            if
+            (
                 # BFVs are not handled separately from FVs right now.
                 (isinstance(ob, FeatureView) or isinstance(ob, BatchFeatureView))
                 and not isinstance(ob, StreamFeatureView)
             )
         ]
         sfvs_to_update = [ob for ob in objects if isinstance(ob, StreamFeatureView)]
-        request_views_to_update = [
-            ob for ob in objects if isinstance(ob, RequestFeatureView)
-        ]
         odfvs_to_update = [ob for ob in objects if isinstance(ob, OnDemandFeatureView)]
         services_to_update = [ob for ob in objects if isinstance(ob, FeatureService)]
         data_sources_set_to_update = {
@@ -871,16 +852,6 @@ def apply(
             if fv.stream_source:
                 data_sources_set_to_update.add(fv.stream_source)
 
-        if request_views_to_update:
-            warnings.warn(
-                "Request feature view is deprecated. "
-                "Please use request data source instead",
-                DeprecationWarning,
-            )
-
-        for rfv in request_views_to_update:
-            data_sources_set_to_update.add(rfv.request_source)
-
         for odfv in odfvs_to_update:
             for v in odfv.source_request_sources.values():
                 data_sources_set_to_update.add(v)
@@ -892,7 +863,7 @@ def apply(
 
         # Validate all feature views and make inferences.
         self._validate_all_feature_views(
-            views_to_update, odfvs_to_update, request_views_to_update, sfvs_to_update
+            views_to_update, odfvs_to_update, sfvs_to_update
         )
         self._make_inferences(
             data_sources_to_update,
@@ -906,9 +877,7 @@ def apply(
         # Add all objects to the registry and update the provider's infrastructure.
         for ds in data_sources_to_update:
             self._registry.apply_data_source(ds, project=self.project, commit=False)
-        for view in itertools.chain(
-            views_to_update, odfvs_to_update, request_views_to_update, sfvs_to_update
-        ):
+        for view in itertools.chain(views_to_update, odfvs_to_update, sfvs_to_update):
             self._registry.apply_feature_view(view, project=self.project, commit=False)
         for ent in entities_to_update:
             self._registry.apply_entity(ent, project=self.project, commit=False)
@@ -937,9 +906,6 @@ def apply(
                     and not isinstance(ob, StreamFeatureView)
                 )
             ]
-            request_views_to_delete = [
-                ob for ob in objects_to_delete if isinstance(ob, RequestFeatureView)
-            ]
             odfvs_to_delete = [
                 ob for ob in objects_to_delete if isinstance(ob, OnDemandFeatureView)
             ]
@@ -968,10 +934,6 @@ def apply(
                 self._registry.delete_feature_view(
                     view.name, project=self.project, commit=False
                 )
-            for request_view in request_views_to_delete:
-                self._registry.delete_feature_view(
-                    request_view.name, project=self.project, commit=False
-                )
             for odfv in odfvs_to_delete:
                 self._registry.delete_feature_view(
                     odfv.name, project=self.project, commit=False
@@ -989,7 +951,9 @@ def apply(
                     validation_references.name, project=self.project, commit=False
                 )
 
-        tables_to_delete: List[FeatureView] = views_to_delete + sfvs_to_delete if not partial else []  # type: ignore
+        tables_to_delete: List[FeatureView] = (
+            views_to_delete + sfvs_to_delete if not partial else []  # type: ignore
+        )
         tables_to_keep: List[FeatureView] = views_to_update + sfvs_to_update  # type: ignore
 
         self._get_provider().update_infra(
@@ -1082,43 +1046,26 @@ def get_historical_features(
         _feature_refs = self._get_features(features)
         (
             all_feature_views,
-            all_request_feature_views,
             all_on_demand_feature_views,
         ) = self._get_feature_views_to_use(features)
 
-        if all_request_feature_views:
-            warnings.warn(
-                "Request feature view is deprecated. "
-                "Please use request data source instead",
-                DeprecationWarning,
-            )
-
         # TODO(achal): _group_feature_refs returns the on demand feature views, but it's not passed into the provider.
         # This is a weird interface quirk - we should revisit the `get_historical_features` to
         # pass in the on demand feature views as well.
-        fvs, odfvs, request_fvs, request_fv_refs = _group_feature_refs(
+        fvs, odfvs = _group_feature_refs(
             _feature_refs,
             all_feature_views,
-            all_request_feature_views,
             all_on_demand_feature_views,
         )
         feature_views = list(view for view, _ in fvs)
         on_demand_feature_views = list(view for view, _ in odfvs)
-        request_feature_views = list(view for view, _ in request_fvs)
 
         set_usage_attribute("odfv", bool(on_demand_feature_views))
-        set_usage_attribute("request_fv", bool(request_feature_views))
 
         # Check that the right request data is present in the entity_df
         if type(entity_df) == pd.DataFrame:
             if self.config.coerce_tz_aware:
                 entity_df = utils.make_df_tzaware(cast(pd.DataFrame, entity_df))
-            for fv in request_feature_views:
-                for feature in fv.features:
-                    if feature.name not in entity_df.columns:
-                        raise RequestDataNotFoundInEntityDfException(
-                            feature_name=feature.name, feature_view_name=fv.name
-                        )
             for odfv in on_demand_feature_views:
                 odfv_request_data_schema = odfv.get_request_data_schema()
                 for feature_name in odfv_request_data_schema.keys():
@@ -1129,9 +1076,6 @@ def get_historical_features(
                         )
 
         _validate_feature_refs(_feature_refs, full_feature_names)
-        # Drop refs that refer to RequestFeatureViews since they don't need to be fetched and
-        # already exist in the entity_df
-        _feature_refs = [ref for ref in _feature_refs if ref not in request_fv_refs]
         provider = self._get_provider()
 
         job = provider.get_historical_features(
@@ -1609,19 +1553,11 @@ def _get_online_features(
         _feature_refs = self._get_features(features, allow_cache=True)
         (
             requested_feature_views,
-            requested_request_feature_views,
             requested_on_demand_feature_views,
         ) = self._get_feature_views_to_use(
             features=features, allow_cache=True, hide_dummy_entity=False
         )
 
-        if requested_request_feature_views:
-            warnings.warn(
-                "Request feature view is deprecated. "
-                "Please use request data source instead",
-                DeprecationWarning,
-            )
-
         (
             entity_name_to_join_key_map,
             entity_type_map,
@@ -1645,16 +1581,12 @@ def _get_online_features(
         (
             grouped_refs,
             grouped_odfv_refs,
-            grouped_request_fv_refs,
-            _,
         ) = _group_feature_refs(
             _feature_refs,
             requested_feature_views,
-            requested_request_feature_views,
             requested_on_demand_feature_views,
         )
         set_usage_attribute("odfv", bool(grouped_odfv_refs))
-        set_usage_attribute("request_fv", bool(grouped_request_fv_refs))
 
         # All requested features should be present in the result.
         requested_result_row_names = {
@@ -1667,23 +1599,14 @@ def _get_online_features(
 
         feature_views = list(view for view, _ in grouped_refs)
 
-        needed_request_data, needed_request_fv_features = self.get_needed_request_data(
-            grouped_odfv_refs, grouped_request_fv_refs
-        )
+        needed_request_data = self.get_needed_request_data(grouped_odfv_refs)
 
         join_key_values: Dict[str, List[Value]] = {}
         request_data_features: Dict[str, List[Value]] = {}
         # Entity rows may be either entities or request data.
         for join_key_or_entity_name, values in entity_proto_values.items():
             # Found request data
-            if (
-                join_key_or_entity_name in needed_request_data
-                or join_key_or_entity_name in needed_request_fv_features
-            ):
-                if join_key_or_entity_name in needed_request_fv_features:
-                    # If the data was requested as a feature then
-                    # make sure it appears in the result.
-                    requested_result_row_names.add(join_key_or_entity_name)
+            if join_key_or_entity_name in needed_request_data:
                 request_data_features[join_key_or_entity_name] = values
             else:
                 if join_key_or_entity_name in join_keys_set:
@@ -1705,7 +1628,7 @@ def _get_online_features(
                 join_key_values[join_key] = values
 
         self.ensure_request_data_values_exist(
-            needed_request_data, needed_request_fv_features, request_data_features
+            needed_request_data, request_data_features
         )
 
         # Populate online features response proto with join keys and request data features
@@ -1767,6 +1690,72 @@ def _get_online_features(
         )
         return OnlineResponse(online_features_response)
 
+    @log_exceptions_and_usage
+    def retrieve_online_documents(
+        self,
+        feature: str,
+        query: Union[str, List[float]],
+        top_k: int,
+    ) -> OnlineResponse:
+        """
+        Retrieves the top k closest document features. Note, embeddings are a subset of features.
+
+        Args:
+            feature: The list of document features that should be retrieved from the online document store. These features can be
+                specified either as a list of string document feature references or as a feature service. String feature
+                references must have format "feature_view:feature", e.g, "document_fv:document_embeddings".
+            query: The query to retrieve the closest document features for.
+            top_k: The number of closest document features to retrieve.
+        """
+        return self._retrieve_online_documents(
+            feature=feature,
+            query=query,
+            top_k=top_k,
+        )
+
+    def _retrieve_online_documents(
+        self,
+        feature: str,
+        query: Union[str, List[float]],
+        top_k: int,
+    ):
+        if isinstance(query, str):
+            raise ValueError(
+                "Using embedding functionality is not supported for document retrieval. Please embed the query before calling retrieve_online_documents."
+            )
+        (
+            requested_feature_views,
+            _,
+        ) = self._get_feature_views_to_use(
+            features=[feature], allow_cache=True, hide_dummy_entity=False
+        )
+        requested_feature = (
+            feature.split(":")[1] if isinstance(feature, str) else feature
+        )
+        provider = self._get_provider()
+        document_features = self._retrieve_from_online_store(
+            provider,
+            requested_feature_views[0],
+            requested_feature,
+            query,
+            top_k,
+        )
+        document_feature_vals = [feature[2] for feature in document_features]
+        document_feature_distance_vals = [feature[3] for feature in document_features]
+        online_features_response = GetOnlineFeaturesResponse(results=[])
+
+        # TODO Refactor to better way of populating result
+        # TODO populate entity in the response after returning entity in document_features is supported
+        self._populate_result_rows_from_columnar(
+            online_features_response=online_features_response,
+            data={requested_feature: document_feature_vals},
+        )
+        self._populate_result_rows_from_columnar(
+            online_features_response=online_features_response,
+            data={"distance": document_feature_distance_vals},
+        )
+        return OnlineResponse(online_features_response)
+
     @staticmethod
     def _get_columnar_entity_values(
         rowise: Optional[List[Dict[str, Any]]], columnar: Optional[Dict[str, List[Any]]]
@@ -1811,9 +1800,9 @@ def _get_entity_maps(
                 )
                 entity_name_to_join_key_map[entity_name] = join_key
             for entity_column in feature_view.entity_columns:
-                entity_type_map[
-                    entity_column.name
-                ] = entity_column.dtype.to_value_type()
+                entity_type_map[entity_column.name] = (
+                    entity_column.dtype.to_value_type()
+                )
 
         return (
             entity_name_to_join_key_map,
@@ -1864,33 +1853,21 @@ def _populate_result_rows_from_columnar(
     @staticmethod
     def get_needed_request_data(
         grouped_odfv_refs: List[Tuple[OnDemandFeatureView, List[str]]],
-        grouped_request_fv_refs: List[Tuple[RequestFeatureView, List[str]]],
-    ) -> Tuple[Set[str], Set[str]]:
+    ) -> Set[str]:
         needed_request_data: Set[str] = set()
-        needed_request_fv_features: Set[str] = set()
         for odfv, _ in grouped_odfv_refs:
             odfv_request_data_schema = odfv.get_request_data_schema()
             needed_request_data.update(odfv_request_data_schema.keys())
-        for request_fv, _ in grouped_request_fv_refs:
-            for feature in request_fv.features:
-                needed_request_fv_features.add(feature.name)
-        return needed_request_data, needed_request_fv_features
+        return needed_request_data
 
     @staticmethod
     def ensure_request_data_values_exist(
         needed_request_data: Set[str],
-        needed_request_fv_features: Set[str],
         request_data_features: Dict[str, List[Any]],
     ):
-        if len(needed_request_data) + len(needed_request_fv_features) != len(
-            request_data_features.keys()
-        ):
+        if len(needed_request_data) != len(request_data_features.keys()):
             missing_features = [
-                x
-                for x in itertools.chain(
-                    needed_request_data, needed_request_fv_features
-                )
-                if x not in request_data_features
+                x for x in needed_request_data if x not in request_data_features
             ]
             raise RequestDataNotFoundInEntityRowsException(
                 feature_names=missing_features
@@ -1995,6 +1972,43 @@ def _read_from_online_store(
             read_row_protos.append((event_timestamps, statuses, values))
         return read_row_protos
 
+    def _retrieve_from_online_store(
+        self,
+        provider: Provider,
+        table: FeatureView,
+        requested_feature: str,
+        query: List[float],
+        top_k: int,
+    ) -> List[Tuple[Timestamp, "FieldStatus.ValueType", Value, Value]]:
+        """
+        Search and return document features from the online document store.
+        """
+        documents = provider.retrieve_online_documents(
+            config=self.config,
+            table=table,
+            requested_feature=requested_feature,
+            query=query,
+            top_k=top_k,
+        )
+
+        read_row_protos = []
+        row_ts_proto = Timestamp()
+
+        for row_ts, feature_val, distance_val in documents:
+            # Reset timestamp to default or update if row_ts is not None
+            if row_ts is not None:
+                row_ts_proto.FromDatetime(row_ts)
+
+            if feature_val is None or distance_val is None:
+                feature_val = Value()
+                distance_val = Value()
+                status = FieldStatus.NOT_FOUND
+            else:
+                status = FieldStatus.PRESENT
+
+            read_row_protos.append((row_ts_proto, status, feature_val, distance_val))
+        return read_row_protos
+
     @staticmethod
     def _populate_response_from_feature_data(
         feature_data: Iterable[
@@ -2090,26 +2104,52 @@ def _augment_response_with_on_demand_transforms(
                 )
 
         initial_response = OnlineResponse(online_features_response)
-        initial_response_df = initial_response.to_df()
+        initial_response_df: Optional[pd.DataFrame] = None
+        initial_response_dict: Optional[Dict[str, List[Any]]] = None
 
         # Apply on demand transformations and augment the result rows
         odfv_result_names = set()
         for odfv_name, _feature_refs in odfv_feature_refs.items():
             odfv = requested_odfv_map[odfv_name]
-            transformed_features_df = odfv.get_transformed_features_df(
-                initial_response_df,
-                full_feature_names,
+            if odfv.mode == "python":
+                if initial_response_dict is None:
+                    initial_response_dict = initial_response.to_dict()
+                transformed_features_dict: Dict[str, List[Any]] = (
+                    odfv.get_transformed_features(
+                        initial_response_dict,
+                        full_feature_names,
+                    )
+                )
+            elif odfv.mode in {"pandas", "substrait"}:
+                if initial_response_df is None:
+                    initial_response_df = initial_response.to_df()
+                transformed_features_df: pd.DataFrame = odfv.get_transformed_features(
+                    initial_response_df,
+                    full_feature_names,
+                )
+            else:
+                raise Exception(
+                    f"Invalid OnDemandFeatureMode: {odfv.mode}. Expected one of 'pandas', 'python', or 'substrait'."
+                )
+
+            transformed_features = (
+                transformed_features_dict
+                if odfv.mode == "python"
+                else transformed_features_df
             )
-            selected_subset = [
-                f for f in transformed_features_df.columns if f in _feature_refs
-            ]
+            transformed_columns = (
+                transformed_features.columns
+                if isinstance(transformed_features, pd.DataFrame)
+                else transformed_features
+            )
+            selected_subset = [f for f in transformed_columns if f in _feature_refs]
 
-            proto_values = [
-                python_values_to_proto_values(
-                    transformed_features_df[feature].values, ValueType.UNKNOWN
+            proto_values = []
+            for selected_feature in selected_subset:
+                feature_vector = transformed_features[selected_feature]
+                proto_values.append(
+                    python_values_to_proto_values(feature_vector, ValueType.UNKNOWN)
                 )
-                for feature in selected_subset
-            ]
 
             odfv_result_names |= set(selected_subset)
 
@@ -2155,7 +2195,7 @@ def _get_feature_views_to_use(
         features: Optional[Union[List[str], FeatureService]],
         allow_cache=False,
         hide_dummy_entity: bool = True,
-    ) -> Tuple[List[FeatureView], List[RequestFeatureView], List[OnDemandFeatureView]]:
+    ) -> Tuple[List[FeatureView], List[OnDemandFeatureView]]:
         fvs = {
             fv.name: fv
             for fv in [
@@ -2166,13 +2206,6 @@ def _get_feature_views_to_use(
             ]
         }
 
-        request_fvs = {
-            fv.name: fv
-            for fv in self._registry.list_request_feature_views(
-                project=self.project, allow_cache=allow_cache
-            )
-        }
-
         od_fvs = {
             fv.name: fv
             for fv in self._registry.list_on_demand_feature_views(
@@ -2181,7 +2214,7 @@ def _get_feature_views_to_use(
         }
 
         if isinstance(features, FeatureService):
-            fvs_to_use, request_fvs_to_use, od_fvs_to_use = [], [], []
+            fvs_to_use, od_fvs_to_use = [], []
             for fv_name, projection in [
                 (projection.name, projection)
                 for projection in features.feature_view_projections
@@ -2190,10 +2223,6 @@ def _get_feature_views_to_use(
                     fvs_to_use.append(
                         fvs[fv_name].with_projection(copy.copy(projection))
                     )
-                elif fv_name in request_fvs:
-                    request_fvs_to_use.append(
-                        request_fvs[fv_name].with_projection(copy.copy(projection))
-                    )
                 elif fv_name in od_fvs:
                     odfv = od_fvs[fv_name].with_projection(copy.copy(projection))
                     od_fvs_to_use.append(odfv)
@@ -2208,11 +2237,10 @@ def _get_feature_views_to_use(
                         f"{fv_name} which doesn't exist. Please make sure that you have created the feature view"
                         f'{fv_name} and that you have registered it by running "apply".'
                     )
-            views_to_use = (fvs_to_use, request_fvs_to_use, od_fvs_to_use)
+            views_to_use = (fvs_to_use, od_fvs_to_use)
         else:
             views_to_use = (
                 [*fvs.values()],
-                [*request_fvs.values()],
                 [*od_fvs.values()],
             )
 
@@ -2278,6 +2306,13 @@ def serve_ui(
             root_path=root_path,
         )
 
+    @log_exceptions_and_usage
+    def serve_registry(self, port: int) -> None:
+        """Start registry server locally on a given port."""
+        from feast import registry_server
+
+        registry_server.start_server(self, port)
+
     @log_exceptions_and_usage
     def serve_transformations(self, port: int) -> None:
         """Start the feature transformation server locally on a given port."""
@@ -2443,24 +2478,15 @@ def _validate_feature_refs(feature_refs: List[str], full_feature_names: bool = F
 def _group_feature_refs(
     features: List[str],
     all_feature_views: List[FeatureView],
-    all_request_feature_views: List[RequestFeatureView],
     all_on_demand_feature_views: List[OnDemandFeatureView],
 ) -> Tuple[
-    List[Tuple[FeatureView, List[str]]],
-    List[Tuple[OnDemandFeatureView, List[str]]],
-    List[Tuple[RequestFeatureView, List[str]]],
-    Set[str],
+    List[Tuple[FeatureView, List[str]]], List[Tuple[OnDemandFeatureView, List[str]]]
 ]:
     """Get list of feature views and corresponding feature names based on feature references"""
 
     # view name to view proto
     view_index = {view.projection.name_to_use(): view for view in all_feature_views}
 
-    # request view name to proto
-    request_view_index = {
-        view.projection.name_to_use(): view for view in all_request_feature_views
-    }
-
     # on demand view to on demand view proto
     on_demand_view_index = {
         view.projection.name_to_use(): view for view in all_on_demand_feature_views
@@ -2468,8 +2494,6 @@ def _group_feature_refs(
 
     # view name to feature names
     views_features = defaultdict(set)
-    request_views_features = defaultdict(set)
-    request_view_refs = set()
 
     # on demand view name to feature names
     on_demand_view_features = defaultdict(set)
@@ -2490,26 +2514,17 @@ def _group_feature_refs(
             ].source_feature_view_projections.values():
                 for input_feat in input_fv_projection.features:
                     views_features[input_fv_projection.name].add(input_feat.name)
-        elif view_name in request_view_index:
-            request_view_index[view_name].projection.get_feature(
-                feat_name
-            )  # For validation
-            request_views_features[view_name].add(feat_name)
-            request_view_refs.add(ref)
         else:
             raise FeatureViewNotFoundException(view_name)
 
     fvs_result: List[Tuple[FeatureView, List[str]]] = []
     odfvs_result: List[Tuple[OnDemandFeatureView, List[str]]] = []
-    request_fvs_result: List[Tuple[RequestFeatureView, List[str]]] = []
 
     for view_name, feature_names in views_features.items():
         fvs_result.append((view_index[view_name], list(feature_names)))
-    for view_name, feature_names in request_views_features.items():
-        request_fvs_result.append((request_view_index[view_name], list(feature_names)))
     for view_name, feature_names in on_demand_view_features.items():
         odfvs_result.append((on_demand_view_index[view_name], list(feature_names)))
-    return fvs_result, odfvs_result, request_fvs_result, request_view_refs
+    return fvs_result, odfvs_result
 
 
 def _print_materialization_log(
diff --git a/sdk/python/feast/feature_view.py b/sdk/python/feast/feature_view.py
index e26759ba92..f87ae7ab13 100644
--- a/sdk/python/feast/feature_view.py
+++ b/sdk/python/feast/feature_view.py
@@ -17,6 +17,7 @@
 from typing import Dict, List, Optional, Tuple, Type
 
 from google.protobuf.duration_pb2 import Duration
+from google.protobuf.message import Message
 from typeguard import typechecked
 
 from feast import utils
@@ -100,7 +101,7 @@ def __init__(
         name: str,
         source: DataSource,
         schema: Optional[List[Field]] = None,
-        entities: List[Entity] = None,
+        entities: Optional[List[Entity]] = None,
         ttl: Optional[timedelta] = timedelta(days=0),
         online: bool = True,
         description: str = "",
@@ -274,7 +275,7 @@ def ensure_valid(self):
             raise ValueError("Feature view has no entities.")
 
     @property
-    def proto_class(self) -> Type[FeatureViewProto]:
+    def proto_class(self) -> Type[Message]:
         return FeatureViewProto
 
     def with_join_key_map(self, join_key_map: Dict[str, str]):
diff --git a/sdk/python/feast/importer.py b/sdk/python/feast/importer.py
index bbd592101a..938d29fe31 100644
--- a/sdk/python/feast/importer.py
+++ b/sdk/python/feast/importer.py
@@ -7,7 +7,7 @@
 )
 
 
-def import_class(module_name: str, class_name: str, class_type: str = None):
+def import_class(module_name: str, class_name: str, class_type: str = ""):
     """
     Dynamically loads and returns a class from a module.
 
diff --git a/sdk/python/feast/infra/contrib/__init__.py b/sdk/python/feast/infra/contrib/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/contrib/spark_kafka_processor.py b/sdk/python/feast/infra/contrib/spark_kafka_processor.py
index ea55d89988..e148000bc9 100644
--- a/sdk/python/feast/infra/contrib/spark_kafka_processor.py
+++ b/sdk/python/feast/infra/contrib/spark_kafka_processor.py
@@ -1,10 +1,11 @@
 from types import MethodType
-from typing import List, Optional
+from typing import List, Optional, no_type_check
 
 import pandas as pd
 from pyspark.sql import DataFrame, SparkSession
 from pyspark.sql.avro.functions import from_avro
 from pyspark.sql.functions import col, from_json
+from pyspark.sql.streaming import StreamingQuery
 
 from feast.data_format import AvroFormat, JsonFormat
 from feast.data_source import KafkaSource, PushMode
@@ -20,7 +21,7 @@
 class SparkProcessorConfig(ProcessorConfig):
     spark_session: SparkSession
     processing_time: str
-    query_timeout: int
+    query_timeout: Optional[int] = None
 
 
 class SparkKafkaProcessor(StreamProcessor):
@@ -63,12 +64,20 @@ def __init__(
         self.join_keys = [fs.get_entity(entity).join_key for entity in sfv.entities]
         super().__init__(fs=fs, sfv=sfv, data_source=sfv.stream_source)
 
-    def ingest_stream_feature_view(self, to: PushMode = PushMode.ONLINE) -> None:
+        # Type hinting for data_source type.
+        # data_source type has been checked to be an instance of KafkaSource.
+        self.data_source: KafkaSource = self.data_source  # type: ignore
+
+    def ingest_stream_feature_view(
+        self, to: PushMode = PushMode.ONLINE
+    ) -> StreamingQuery:
         ingested_stream_df = self._ingest_stream_data()
         transformed_df = self._construct_transformation_plan(ingested_stream_df)
         online_store_query = self._write_stream_data(transformed_df, to)
         return online_store_query
 
+    # In the line 64 of __init__(), the "data_source" is assigned a stream_source (and has to be KafkaSource as in line 40).
+    @no_type_check
     def _ingest_stream_data(self) -> StreamTable:
         """Only supports json and avro formats currently."""
         if self.format == "json":
@@ -122,7 +131,7 @@ def _ingest_stream_data(self) -> StreamTable:
     def _construct_transformation_plan(self, df: StreamTable) -> StreamTable:
         return self.sfv.udf.__call__(df) if self.sfv.udf else df
 
-    def _write_stream_data(self, df: StreamTable, to: PushMode):
+    def _write_stream_data(self, df: StreamTable, to: PushMode) -> StreamingQuery:
         # Validation occurs at the fs.write_to_online_store() phase against the stream feature view schema.
         def batch_write(row: DataFrame, batch_id: int):
             rows: pd.DataFrame = row.toPandas()
diff --git a/sdk/python/feast/infra/contrib/stream_processor.py b/sdk/python/feast/infra/contrib/stream_processor.py
index 24817c82ea..3f1fe08510 100644
--- a/sdk/python/feast/infra/contrib/stream_processor.py
+++ b/sdk/python/feast/infra/contrib/stream_processor.py
@@ -1,8 +1,9 @@
-from abc import ABC
+from abc import ABC, abstractmethod
 from types import MethodType
-from typing import TYPE_CHECKING, Optional
+from typing import TYPE_CHECKING, Any, Optional
 
 from pyspark.sql import DataFrame
+from typing_extensions import TypeAlias
 
 from feast.data_source import DataSource, PushMode
 from feast.importer import import_class
@@ -17,7 +18,7 @@
 }
 
 # TODO: support more types other than just Spark.
-StreamTable = DataFrame
+StreamTable: TypeAlias = DataFrame
 
 
 class ProcessorConfig(FeastConfigBaseModel):
@@ -49,33 +50,39 @@ def __init__(
         self.sfv = sfv
         self.data_source = data_source
 
-    def ingest_stream_feature_view(self, to: PushMode = PushMode.ONLINE) -> None:
+    @abstractmethod
+    def ingest_stream_feature_view(
+        self, to: PushMode = PushMode.ONLINE
+    ) -> Optional[Any]:
         """
         Ingests data from the stream source attached to the stream feature view; transforms the data
         and then persists it to the online store and/or offline store, depending on the 'to' parameter.
         """
-        pass
+        raise NotImplementedError
 
+    @abstractmethod
     def _ingest_stream_data(self) -> StreamTable:
         """
         Ingests data into a StreamTable.
         """
-        pass
+        raise NotImplementedError
 
+    @abstractmethod
     def _construct_transformation_plan(self, table: StreamTable) -> StreamTable:
         """
         Applies transformations on top of StreamTable object. Since stream engines use lazy
         evaluation, the StreamTable will not be materialized until it is actually evaluated.
         For example: df.collect() in spark or tbl.execute() in Flink.
         """
-        pass
+        raise NotImplementedError
 
-    def _write_stream_data(self, table: StreamTable, to: PushMode) -> None:
+    @abstractmethod
+    def _write_stream_data(self, table: StreamTable, to: PushMode) -> Optional[Any]:
         """
         Launches a job to persist stream data to the online store and/or offline store, depending
         on the 'to' parameter, and returns a handle for the job.
         """
-        pass
+        raise NotImplementedError
 
 
 def get_stream_processor_object(
diff --git a/sdk/python/feast/infra/feature_servers/__init__.py b/sdk/python/feast/infra/feature_servers/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/feature_servers/aws_lambda/config.py b/sdk/python/feast/infra/feature_servers/aws_lambda/config.py
index 31dd879af6..946831a18f 100644
--- a/sdk/python/feast/infra/feature_servers/aws_lambda/config.py
+++ b/sdk/python/feast/infra/feature_servers/aws_lambda/config.py
@@ -1,5 +1,6 @@
+from typing import Literal
+
 from pydantic import StrictBool, StrictStr
-from pydantic.typing import Literal
 
 from feast.infra.feature_servers.base_config import BaseFeatureServerConfig
 
diff --git a/sdk/python/feast/infra/feature_servers/base_config.py b/sdk/python/feast/infra/feature_servers/base_config.py
index 756dd79b43..1a348032e1 100644
--- a/sdk/python/feast/infra/feature_servers/base_config.py
+++ b/sdk/python/feast/infra/feature_servers/base_config.py
@@ -30,5 +30,5 @@ class BaseFeatureServerConfig(FeastConfigBaseModel):
     enabled: StrictBool = False
     """Whether the feature server should be launched."""
 
-    feature_logging: Optional[FeatureLoggingConfig]
+    feature_logging: Optional[FeatureLoggingConfig] = None
     """ Feature logging configuration """
diff --git a/sdk/python/feast/infra/feature_servers/gcp_cloudrun/config.py b/sdk/python/feast/infra/feature_servers/gcp_cloudrun/config.py
index 8d0c269cf5..ddcbde7924 100644
--- a/sdk/python/feast/infra/feature_servers/gcp_cloudrun/config.py
+++ b/sdk/python/feast/infra/feature_servers/gcp_cloudrun/config.py
@@ -1,5 +1,6 @@
+from typing import Literal
+
 from pydantic import StrictBool
-from pydantic.typing import Literal
 
 from feast.infra.feature_servers.base_config import BaseFeatureServerConfig
 
diff --git a/sdk/python/feast/infra/feature_servers/local_process/config.py b/sdk/python/feast/infra/feature_servers/local_process/config.py
index bb2e7bdf73..3d97912e4b 100644
--- a/sdk/python/feast/infra/feature_servers/local_process/config.py
+++ b/sdk/python/feast/infra/feature_servers/local_process/config.py
@@ -1,4 +1,4 @@
-from pydantic.typing import Literal
+from typing import Literal
 
 from feast.infra.feature_servers.base_config import BaseFeatureServerConfig
 
diff --git a/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile b/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile
index c95c515fb4..1a55c6e851 100644
--- a/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile
+++ b/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile
@@ -1,19 +1,22 @@
-FROM python:3.8
+FROM python:3.9
+
+# Input the feast version to install
+# This requires feast package to be available in pypi before building this image
+ARG VERSION
 
 RUN apt update && \
         apt install -y \
         jq \
         python3-dev \
-        default-libmysqlclient-dev \
         build-essential
 
 RUN pip install pip --upgrade
-RUN pip install "feast[aws,gcp,snowflake,redis,go,mysql,postgres]"
-
+RUN pip install "feast[aws,gcp,snowflake,redis,go,mysql,postgres]==${VERSION}"
 
 RUN apt update
 RUN apt install -y -V ca-certificates lsb-release wget
 RUN wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb
 RUN apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb
 RUN apt update
-RUN apt -y install libarrow-dev
\ No newline at end of file
+RUN apt -y install libarrow-dev
+RUN mkdir -m 775 /.cache
\ No newline at end of file
diff --git a/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile.dev b/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile.dev
index ecbc199a5b..900578f55d 100644
--- a/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile.dev
+++ b/sdk/python/feast/infra/feature_servers/multicloud/Dockerfile.dev
@@ -1,20 +1,23 @@
-FROM python:3.8
+FROM python:3.9
+
+# Input the feast version to install
+# This requires feast package to be available in pypi before building this image
+ARG VERSION
 
 RUN apt update && \
         apt install -y \
         jq \
         python3-dev \
-        default-libmysqlclient-dev \
         build-essential
 
 RUN pip install pip --upgrade
 COPY . .
 
-RUN pip install "feast[aws,gcp,snowflake,redis,go,mysql,postgres]"
+RUN pip install "feast[aws,gcp,snowflake,redis,go,mysql,postgres]==${VERSION}"
 
 RUN apt update
 RUN apt install -y -V ca-certificates lsb-release wget
 RUN wget https://apache.jfrog.io/artifactory/arrow/$(lsb_release --id --short | tr 'A-Z' 'a-z')/apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb
 RUN apt install -y -V ./apache-arrow-apt-source-latest-$(lsb_release --codename --short).deb
 RUN apt update
-RUN apt -y install libarrow-dev
\ No newline at end of file
+RUN apt -y install libarrow-dev
diff --git a/sdk/python/feast/infra/key_encoding_utils.py b/sdk/python/feast/infra/key_encoding_utils.py
index 62b6b72724..e50e438c3d 100644
--- a/sdk/python/feast/infra/key_encoding_utils.py
+++ b/sdk/python/feast/infra/key_encoding_utils.py
@@ -72,3 +72,11 @@ def serialize_entity_key(
         output.append(val_bytes)
 
     return b"".join(output)
+
+
+def get_val_str(val):
+    accept_value_types = ["float_list_val", "double_list_val", "int_list_val"]
+    for accept_type in accept_value_types:
+        if val.HasField(accept_type):
+            return str(getattr(val, accept_type).val)
+    return None
diff --git a/sdk/python/feast/infra/materialization/__init__.py b/sdk/python/feast/infra/materialization/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/materialization/aws_lambda/app.py b/sdk/python/feast/infra/materialization/aws_lambda/app.py
index 375674adaa..2bf65542e5 100644
--- a/sdk/python/feast/infra/materialization/aws_lambda/app.py
+++ b/sdk/python/feast/infra/materialization/aws_lambda/app.py
@@ -23,7 +23,6 @@ def handler(event, context):
     print("Received event: " + json.dumps(event, indent=2), flush=True)
 
     try:
-
         config_base64 = event[FEATURE_STORE_YAML_ENV_NAME]
 
         config_bytes = base64.b64decode(config_base64)
diff --git a/sdk/python/feast/infra/materialization/batch_materialization_engine.py b/sdk/python/feast/infra/materialization/batch_materialization_engine.py
index 41ab9f22d4..8e854a508d 100644
--- a/sdk/python/feast/infra/materialization/batch_materialization_engine.py
+++ b/sdk/python/feast/infra/materialization/batch_materialization_engine.py
@@ -49,24 +49,19 @@ class MaterializationJob(ABC):
     task: MaterializationTask
 
     @abstractmethod
-    def status(self) -> MaterializationJobStatus:
-        ...
+    def status(self) -> MaterializationJobStatus: ...
 
     @abstractmethod
-    def error(self) -> Optional[BaseException]:
-        ...
+    def error(self) -> Optional[BaseException]: ...
 
     @abstractmethod
-    def should_be_retried(self) -> bool:
-        ...
+    def should_be_retried(self) -> bool: ...
 
     @abstractmethod
-    def job_id(self) -> str:
-        ...
+    def job_id(self) -> str: ...
 
     @abstractmethod
-    def url(self) -> Optional[str]:
-        ...
+    def url(self) -> Optional[str]: ...
 
 
 class BatchMaterializationEngine(ABC):
diff --git a/sdk/python/feast/infra/materialization/contrib/__init__.py b/sdk/python/feast/infra/materialization/contrib/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/materialization/contrib/bytewax/Dockerfile b/sdk/python/feast/infra/materialization/contrib/bytewax/Dockerfile
index a26661ead3..a7d0af9b41 100644
--- a/sdk/python/feast/infra/materialization/contrib/bytewax/Dockerfile
+++ b/sdk/python/feast/infra/materialization/contrib/bytewax/Dockerfile
@@ -25,5 +25,5 @@ COPY README.md README.md
 # git dir to infer the version of feast we're installing.
 # https://github.com/pypa/setuptools_scm#usage-from-docker
 # I think it also assumes that this dockerfile is being built from the root of the directory.
-RUN --mount=source=.git,target=.git,type=bind pip3 install --no-cache-dir '.[aws,gcp,bytewax,snowflake]'
+RUN --mount=source=.git,target=.git,type=bind pip3 install --no-cache-dir '.[aws,gcp,bytewax,snowflake,postgres]'
 
diff --git a/sdk/python/feast/infra/materialization/contrib/bytewax/bytewax_materialization_engine.py b/sdk/python/feast/infra/materialization/contrib/bytewax/bytewax_materialization_engine.py
index 5c7a719532..3ad6fe4b55 100644
--- a/sdk/python/feast/infra/materialization/contrib/bytewax/bytewax_materialization_engine.py
+++ b/sdk/python/feast/infra/materialization/contrib/bytewax/bytewax_materialization_engine.py
@@ -5,9 +5,8 @@
 from typing import Callable, List, Literal, Sequence, Union
 
 import yaml
-from kubernetes import client
+from kubernetes import client, utils
 from kubernetes import config as k8s_config
-from kubernetes import utils
 from kubernetes.client.exceptions import ApiException
 from kubernetes.utils import FailToCreateError
 from pydantic import StrictStr
@@ -309,7 +308,7 @@ def _create_kubernetes_job(self, job_id, paths, feature_view):
     def _create_configuration_map(self, job_id, paths, feature_view, namespace):
         """Create a Kubernetes configmap for this job"""
 
-        feature_store_configuration = yaml.dump(self.repo_config.dict())
+        feature_store_configuration = yaml.dump(self.repo_config.dict(by_alias=True))
 
         materialization_config = yaml.dump(
             {"paths": paths, "feature_view": feature_view.name}
@@ -421,7 +420,7 @@ def _create_job_definition(self, job_id, namespace, pods, env, index_offset=0):
                                     }
                                 ],
                                 "image": "busybox",
-                                "imagePullPolicy": "Always",
+                                "imagePullPolicy": "IfNotPresent",
                                 "name": "init-hostfile",
                                 "resources": {},
                                 "securityContext": {
diff --git a/sdk/python/feast/infra/materialization/contrib/bytewax/dataflow.py b/sdk/python/feast/infra/materialization/contrib/bytewax/dataflow.py
index 9d9b328c0e..bbc32cc165 100644
--- a/sdk/python/feast/infra/materialization/contrib/bytewax/dataflow.py
+++ b/sdk/python/feast/infra/materialization/contrib/bytewax/dataflow.py
@@ -12,10 +12,10 @@
     logging.basicConfig(level=logging.INFO)
 
     with open("/var/feast/feature_store.yaml") as f:
-        feast_config = yaml.safe_load(f)
+        feast_config = yaml.load(f, Loader=yaml.Loader)
 
         with open("/var/feast/bytewax_materialization_config.yaml") as b:
-            bytewax_config = yaml.safe_load(b)
+            bytewax_config = yaml.load(b, Loader=yaml.Loader)
 
             config = RepoConfig(**feast_config)
             store = FeatureStore(config=config)
diff --git a/sdk/python/feast/infra/materialization/contrib/spark/spark_materialization_engine.py b/sdk/python/feast/infra/materialization/contrib/spark/spark_materialization_engine.py
index ed4388aeb3..24608baebf 100644
--- a/sdk/python/feast/infra/materialization/contrib/spark/spark_materialization_engine.py
+++ b/sdk/python/feast/infra/materialization/contrib/spark/spark_materialization_engine.py
@@ -178,9 +178,9 @@ def _materialize_one(
                     self.repo_config.batch_engine.partitions
                 )
 
-            spark_df.foreachPartition(
-                lambda x: _process_by_partition(x, spark_serialized_artifacts)
-            )
+            spark_df.mapInPandas(
+                lambda x: _map_by_partition(x, spark_serialized_artifacts), "status int"
+            ).count()  # dummy action to force evaluation
 
             return SparkMaterializationJob(
                 job_id=job_id, status=MaterializationJobStatus.SUCCEEDED
@@ -200,7 +200,6 @@ class _SparkSerializedArtifacts:
 
     @classmethod
     def serialize(cls, feature_view, repo_config):
-
         # serialize to proto
         feature_view_proto = feature_view.to_proto().SerializeToString()
 
@@ -225,38 +224,40 @@ def unserialize(self):
         return feature_view, online_store, repo_config
 
 
-def _process_by_partition(rows, spark_serialized_artifacts: _SparkSerializedArtifacts):
-    """Load pandas df to online store"""
-
-    # convert to pyarrow table
-    dicts = []
-    for row in rows:
-        dicts.append(row.asDict())
+def _map_by_partition(iterator, spark_serialized_artifacts: _SparkSerializedArtifacts):
+    for pdf in iterator:
+        if pdf.shape[0] == 0:
+            print("Skipping")
+            return
 
-    df = pd.DataFrame.from_records(dicts)
-    if df.shape[0] == 0:
-        print("Skipping")
-        return
+        table = pyarrow.Table.from_pandas(pdf)
 
-    table = pyarrow.Table.from_pandas(df)
+        (
+            feature_view,
+            online_store,
+            repo_config,
+        ) = spark_serialized_artifacts.unserialize()
+
+        if feature_view.batch_source.field_mapping is not None:
+            table = _run_pyarrow_field_mapping(
+                table, feature_view.batch_source.field_mapping
+            )
 
-    # unserialize artifacts
-    feature_view, online_store, repo_config = spark_serialized_artifacts.unserialize()
+        join_key_to_value_type = {
+            entity.name: entity.dtype.to_value_type()
+            for entity in feature_view.entity_columns
+        }
 
-    if feature_view.batch_source.field_mapping is not None:
-        table = _run_pyarrow_field_mapping(
-            table, feature_view.batch_source.field_mapping
+        rows_to_write = _convert_arrow_to_proto(
+            table, feature_view, join_key_to_value_type
+        )
+        online_store.online_write_batch(
+            repo_config,
+            feature_view,
+            rows_to_write,
+            lambda x: None,
         )
 
-    join_key_to_value_type = {
-        entity.name: entity.dtype.to_value_type()
-        for entity in feature_view.entity_columns
-    }
-
-    rows_to_write = _convert_arrow_to_proto(table, feature_view, join_key_to_value_type)
-    online_store.online_write_batch(
-        repo_config,
-        feature_view,
-        rows_to_write,
-        lambda x: None,
-    )
+    yield pd.DataFrame(
+        [pd.Series(range(1, 2))]
+    )  # dummy result because mapInPandas needs to return something
diff --git a/sdk/python/feast/infra/materialization/kubernetes/Dockerfile b/sdk/python/feast/infra/materialization/kubernetes/Dockerfile
new file mode 100644
index 0000000000..956287a1d6
--- /dev/null
+++ b/sdk/python/feast/infra/materialization/kubernetes/Dockerfile
@@ -0,0 +1,22 @@
+FROM python:3.9-slim-bullseye AS build
+
+RUN apt-get update && \
+    apt-get install --no-install-suggests --no-install-recommends --yes git
+
+WORKDIR /app
+
+COPY sdk/python/feast/infra/materialization/kuberentes/main.py /app
+
+# Copy necessary parts of the Feast codebase
+COPY sdk/python sdk/python
+COPY protos protos
+COPY go go
+COPY setup.py setup.py
+COPY pyproject.toml pyproject.toml
+COPY README.md README.md
+
+# We need this mount thingy because setuptools_scm needs access to the
+# git dir to infer the version of feast we're installing.
+# https://github.com/pypa/setuptools_scm#usage-from-docker
+# I think it also assumes that this dockerfile is being built from the root of the directory.
+RUN --mount=source=.git,target=.git,type=bind pip3 install --no-cache-dir '.[aws,gcp,k8s,snowflake,postgres]'
diff --git a/sdk/python/feast/infra/materialization/kubernetes/__init__.py b/sdk/python/feast/infra/materialization/kubernetes/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_engine.py b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_engine.py
new file mode 100644
index 0000000000..2e7129b037
--- /dev/null
+++ b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_engine.py
@@ -0,0 +1,421 @@
+import logging
+import uuid
+from datetime import datetime
+from time import sleep
+from typing import Callable, List, Literal, Sequence, Union
+
+import yaml
+from kubernetes import client, utils
+from kubernetes import config as k8s_config
+from kubernetes.client.exceptions import ApiException
+from kubernetes.utils import FailToCreateError
+from pydantic import StrictStr
+from tqdm import tqdm
+
+from feast import FeatureView, RepoConfig
+from feast.batch_feature_view import BatchFeatureView
+from feast.entity import Entity
+from feast.infra.materialization.batch_materialization_engine import (
+    BatchMaterializationEngine,
+    MaterializationJob,
+    MaterializationJobStatus,
+    MaterializationTask,
+)
+from feast.infra.offline_stores.offline_store import OfflineStore
+from feast.infra.online_stores.online_store import OnlineStore
+from feast.infra.registry.base_registry import BaseRegistry
+from feast.repo_config import FeastConfigBaseModel
+from feast.stream_feature_view import StreamFeatureView
+from feast.utils import _get_column_names
+
+from .k8s_materialization_job import KubernetesMaterializationJob
+
+logger = logging.getLogger(__name__)
+
+
+class KubernetesMaterializationEngineConfig(FeastConfigBaseModel):
+    """Batch Materialization Engine config for Kubernetes"""
+
+    type: Literal["k8s"] = "k8s"
+    """ Materialization type selector"""
+
+    namespace: StrictStr = "default"
+    """ (optional) The namespace in Kubernetes to use when creating services, configuration maps and jobs.
+    """
+
+    image: StrictStr = "feast/feast-k8s-materialization:latest"
+    """ (optional) The container image to use when running the materialization job."""
+
+    env: List[dict] = []
+    """ (optional) A list of environment variables to set in the created Kubernetes pods.
+    These environment variables can be used to reference Kubernetes secrets.
+    """
+
+    image_pull_secrets: List[dict] = []
+    """ (optional) The secrets to use when pulling the image to run for the materialization job """
+
+    resources: dict = {}
+    """ (optional) The resource requests and limits for the materialization containers """
+
+    service_account_name: StrictStr = ""
+    """ (optional) The service account name to use when running the job """
+
+    annotations: dict = {}
+    """ (optional) Annotations to apply to the job container. Useful for linking the service account to IAM roles, operational metadata, etc  """
+
+    include_security_context_capabilities: bool = True
+    """ (optional)  Include security context capabilities in the init and job container spec """
+
+    labels: dict = {}
+    """ (optional) additional labels to append to kubernetes objects """
+
+    max_parallelism: int = 10
+    """ (optional) Maximum number of pods allowed to run in parallel within a single job"""
+
+    synchronous: bool = False
+    """ (optional) If true, wait for materialization for one feature to complete before moving to the next """
+
+    retry_limit: int = 2
+    """ (optional) Maximum number of times to retry a materialization worker pod"""
+
+    mini_batch_size: int = 1000
+    """ (optional) Number of rows to process per write operation (default 1000)"""
+
+    active_deadline_seconds: int = 86400
+    """ (optional) Maximum amount of time a materialization job is allowed to run"""
+
+    job_batch_size: int = 100
+    """ (optional) Maximum number of pods to process per job.  Only applies to synchronous materialization"""
+
+    print_pod_logs_on_failure: bool = True
+    """(optional) Print pod logs on job failure.  Only applies to synchronous materialization"""
+
+
+class KubernetesMaterializationEngine(BatchMaterializationEngine):
+    def __init__(
+        self,
+        *,
+        repo_config: RepoConfig,
+        offline_store: OfflineStore,
+        online_store: OnlineStore,
+        **kwargs,
+    ):
+        super().__init__(
+            repo_config=repo_config,
+            offline_store=offline_store,
+            online_store=online_store,
+            **kwargs,
+        )
+        self.repo_config = repo_config
+        self.offline_store = offline_store
+        self.online_store = online_store
+
+        k8s_config.load_config()
+
+        self.k8s_client = client.api_client.ApiClient()
+        self.v1 = client.CoreV1Api(self.k8s_client)
+        self.batch_v1 = client.BatchV1Api(self.k8s_client)
+        self.batch_engine_config = repo_config.batch_engine
+        self.namespace = self.batch_engine_config.namespace
+
+    def update(
+        self,
+        project: str,
+        views_to_delete: Sequence[
+            Union[BatchFeatureView, StreamFeatureView, FeatureView]
+        ],
+        views_to_keep: Sequence[
+            Union[BatchFeatureView, StreamFeatureView, FeatureView]
+        ],
+        entities_to_delete: Sequence[Entity],
+        entities_to_keep: Sequence[Entity],
+    ):
+        """This method ensures that any necessary infrastructure or resources needed by the
+        engine are set up ahead of materialization."""
+        pass
+
+    def teardown_infra(
+        self,
+        project: str,
+        fvs: Sequence[Union[BatchFeatureView, StreamFeatureView, FeatureView]],
+        entities: Sequence[Entity],
+    ):
+        """This method ensures that any infrastructure or resources set up by ``update()``are torn down."""
+        pass
+
+    def materialize(
+        self,
+        registry: BaseRegistry,
+        tasks: List[MaterializationTask],
+    ) -> List[MaterializationJob]:
+        return [
+            self._materialize_one(
+                registry,
+                task.feature_view,
+                task.start_time,
+                task.end_time,
+                task.project,
+                task.tqdm_builder,
+            )
+            for task in tasks
+        ]
+
+    def _materialize_one(
+        self,
+        registry: BaseRegistry,
+        feature_view: Union[BatchFeatureView, StreamFeatureView, FeatureView],
+        start_date: datetime,
+        end_date: datetime,
+        project: str,
+        tqdm_builder: Callable[[int], tqdm],
+    ):
+        entities = []
+        for entity_name in feature_view.entities:
+            entities.append(registry.get_entity(entity_name, project))
+
+        (
+            join_key_columns,
+            feature_name_columns,
+            timestamp_field,
+            created_timestamp_column,
+        ) = _get_column_names(feature_view, entities)
+
+        offline_job = self.offline_store.pull_latest_from_table_or_query(
+            config=self.repo_config,
+            data_source=feature_view.batch_source,
+            join_key_columns=join_key_columns,
+            feature_name_columns=feature_name_columns,
+            timestamp_field=timestamp_field,
+            created_timestamp_column=created_timestamp_column,
+            start_date=start_date,
+            end_date=end_date,
+        )
+
+        paths = offline_job.to_remote_storage()
+        if self.batch_engine_config.synchronous:
+            offset = 0
+            total_pods = len(paths)
+            batch_size = self.batch_engine_config.job_batch_size
+            if batch_size < 1:
+                raise ValueError("job_batch_size must be a value greater than 0")
+            if batch_size < self.batch_engine_config.max_parallelism:
+                logger.warning(
+                    "job_batch_size is less than max_parallelism. Setting job_batch_size = max_parallelism"
+                )
+                batch_size = self.batch_engine_config.max_parallelism
+
+            while True:
+                next_offset = min(offset + batch_size, total_pods)
+                job = self._await_path_materialization(
+                    paths[offset:next_offset],
+                    feature_view,
+                    offset,
+                    next_offset,
+                    total_pods,
+                )
+                offset += batch_size
+                if (
+                    offset >= total_pods
+                    or job.status() == MaterializationJobStatus.ERROR
+                ):
+                    break
+        else:
+            job_id = str(uuid.uuid4())
+            job = self._create_kubernetes_job(job_id, paths, feature_view)
+
+        return job
+
+    def _await_path_materialization(
+        self, paths, feature_view, batch_start, batch_end, total_pods
+    ):
+        job_id = str(uuid.uuid4())
+        job = self._create_kubernetes_job(job_id, paths, feature_view)
+
+        try:
+            while job.status() in (
+                MaterializationJobStatus.WAITING,
+                MaterializationJobStatus.RUNNING,
+            ):
+                logger.info(
+                    f"{feature_view.name} materialization for pods {batch_start}-{batch_end} "
+                    f"(of {total_pods}) running..."
+                )
+                sleep(30)
+            logger.info(
+                f"{feature_view.name} materialization for pods {batch_start}-{batch_end} "
+                f"(of {total_pods}) complete with status {job.status()}"
+            )
+        except BaseException as e:
+            logger.info(f"Deleting job {job.job_id()}")
+            try:
+                self.batch_v1.delete_namespaced_job(job.job_id(), self.namespace)
+            except ApiException as ae:
+                logger.warning(f"Could not delete job due to API Error: {ae.body}")
+            raise e
+        finally:
+            logger.info(f"Deleting configmap {self._configmap_name(job_id)}")
+            try:
+                self.v1.delete_namespaced_config_map(
+                    self._configmap_name(job_id), self.namespace
+                )
+            except ApiException as ae:
+                logger.warning(
+                    f"Could not delete configmap due to API Error: {ae.body}"
+                )
+
+            if (
+                job.status() == MaterializationJobStatus.ERROR
+                and self.batch_engine_config.print_pod_logs_on_failure
+            ):
+                self._print_pod_logs(job.job_id(), feature_view, batch_start)
+
+        return job
+
+    def _print_pod_logs(self, job_id, feature_view, offset=0):
+        pods_list = self.v1.list_namespaced_pod(
+            namespace=self.namespace,
+            label_selector=f"job-name={job_id}",
+        ).items
+        for i, pod in enumerate(pods_list):
+            logger.info(f"Logging output for {feature_view.name} pod {offset+i}")
+            try:
+                logger.info(
+                    self.v1.read_namespaced_pod_log(pod.metadata.name, self.namespace)
+                )
+            except ApiException as e:
+                logger.warning(f"Could not retrieve pod logs due to: {e.body}")
+
+    def _create_kubernetes_job(self, job_id, paths, feature_view):
+        try:
+            # Create a k8s configmap with information needed by pods
+            self._create_configuration_map(job_id, paths, feature_view, self.namespace)
+
+            # Create the k8s job definition
+            self._create_job_definition(
+                job_id=job_id,
+                namespace=self.namespace,
+                pods=len(paths),  # Create a pod for each parquet file
+                env=self.batch_engine_config.env,
+            )
+            job = KubernetesMaterializationJob(job_id, self.namespace)
+            logger.info(f"Created job `{job.job_id()}` on namespace `{self.namespace}`")
+            return job
+        except FailToCreateError as failures:
+            return KubernetesMaterializationJob(job_id, self.namespace, error=failures)
+
+    def _create_configuration_map(self, job_id, paths, feature_view, namespace):
+        """Create a Kubernetes configmap for this job"""
+
+        feature_store_configuration = yaml.dump(self.repo_config.dict(by_alias=True))
+
+        materialization_config = yaml.dump(
+            {"paths": paths, "feature_view": feature_view.name}
+        )
+
+        labels = {"feast-materializer": "configmap"}
+        configmap_manifest = {
+            "kind": "ConfigMap",
+            "apiVersion": "v1",
+            "metadata": {
+                "name": self._configmap_name(job_id),
+                "labels": {**labels, **self.batch_engine_config.labels},
+            },
+            "data": {
+                "feature_store.yaml": feature_store_configuration,
+                "materialization_config.yaml": materialization_config,
+            },
+        }
+        self.v1.create_namespaced_config_map(
+            namespace=namespace,
+            body=configmap_manifest,
+        )
+
+    def _configmap_name(self, job_id):
+        return f"feast-{job_id}"
+
+    def _create_job_definition(self, job_id, namespace, pods, env, index_offset=0):
+        """Create a kubernetes job definition."""
+        job_env = [
+            {
+                "name": "MINI_BATCH_SIZE",
+                "value": str(self.batch_engine_config.mini_batch_size),
+            },
+        ]
+        # Add any Feast configured environment variables
+        job_env.extend(env)
+
+        securityContextCapabilities = None
+        if self.batch_engine_config.include_security_context_capabilities:
+            securityContextCapabilities = {
+                "add": ["NET_BIND_SERVICE"],
+                "drop": ["ALL"],
+            }
+
+        job_labels = {"feast-materializer": "job"}
+        pod_labels = {"feast-materializer": "pod"}
+        job_definition = {
+            "apiVersion": "batch/v1",
+            "kind": "Job",
+            "metadata": {
+                "name": f"feast-materialization-{job_id}",
+                "namespace": namespace,
+                "labels": {**job_labels, **self.batch_engine_config.labels},
+            },
+            "spec": {
+                "ttlSecondsAfterFinished": 3600,
+                "backoffLimit": self.batch_engine_config.retry_limit,
+                "completions": pods,
+                "parallelism": min(pods, self.batch_engine_config.max_parallelism),
+                "activeDeadlineSeconds": self.batch_engine_config.active_deadline_seconds,
+                "completionMode": "Indexed",
+                "template": {
+                    "metadata": {
+                        "annotations": self.batch_engine_config.annotations,
+                        "labels": {**pod_labels, **self.batch_engine_config.labels},
+                    },
+                    "spec": {
+                        "restartPolicy": "Never",
+                        "subdomain": f"feast-materialization-{job_id}",
+                        "imagePullSecrets": self.batch_engine_config.image_pull_secrets,
+                        "serviceAccountName": self.batch_engine_config.service_account_name,
+                        "containers": [
+                            {
+                                "command": ["python", "main.py"],
+                                "env": job_env,
+                                "image": self.batch_engine_config.image,
+                                "imagePullPolicy": "Always",
+                                "name": "feast",
+                                "resources": self.batch_engine_config.resources,
+                                "securityContext": {
+                                    "allowPrivilegeEscalation": False,
+                                    "capabilities": securityContextCapabilities,
+                                    "readOnlyRootFilesystem": False,
+                                },
+                                "terminationMessagePath": "/dev/termination-log",
+                                "terminationMessagePolicy": "File",
+                                "volumeMounts": [
+                                    {
+                                        "mountPath": "/var/feast/",
+                                        "name": self._configmap_name(job_id),
+                                    },
+                                ],
+                            }
+                        ],
+                        "volumes": [
+                            {
+                                "configMap": {
+                                    "defaultMode": 420,
+                                    "name": self._configmap_name(job_id),
+                                },
+                                "name": "python-files",
+                            },
+                            {
+                                "configMap": {"name": self._configmap_name(job_id)},
+                                "name": self._configmap_name(job_id),
+                            },
+                        ],
+                    },
+                },
+            },
+        }
+        utils.create_from_dict(self.k8s_client, job_definition)
diff --git a/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_job.py b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_job.py
new file mode 100644
index 0000000000..612b20155d
--- /dev/null
+++ b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_job.py
@@ -0,0 +1,62 @@
+from typing import Optional
+
+from kubernetes import client
+
+from feast.infra.materialization.batch_materialization_engine import (
+    MaterializationJob,
+    MaterializationJobStatus,
+)
+
+
+class KubernetesMaterializationJob(MaterializationJob):
+    def __init__(
+        self,
+        job_id: str,
+        namespace: str,
+        error: Optional[BaseException] = None,
+    ):
+        super().__init__()
+        self._job_id = job_id
+        self.namespace = namespace
+        self._error: Optional[BaseException] = error
+        self.batch_v1 = client.BatchV1Api()
+
+    def error(self):
+        return self._error
+
+    def status(self):
+        if self._error is not None:
+            return MaterializationJobStatus.ERROR
+        else:
+            job_status = self.batch_v1.read_namespaced_job_status(
+                self.job_id(), self.namespace
+            ).status
+            if job_status.active is not None:
+                if job_status.completion_time is None:
+                    return MaterializationJobStatus.RUNNING
+            else:
+                if (
+                    job_status.completion_time is not None
+                    and job_status.conditions[0].type == "Complete"
+                ):
+                    return MaterializationJobStatus.SUCCEEDED
+
+                if (
+                    job_status.conditions is not None
+                    and job_status.conditions[0].type == "Failed"
+                ):
+                    self._error = Exception(
+                        f"Job {self.job_id()} failed with reason: "
+                        f"{job_status.conditions[0].message}"
+                    )
+                    return MaterializationJobStatus.ERROR
+                return MaterializationJobStatus.WAITING
+
+    def should_be_retried(self):
+        return False
+
+    def job_id(self):
+        return f"feast-materialization-{self._job_id}"
+
+    def url(self):
+        return None
diff --git a/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_task.py b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_task.py
new file mode 100644
index 0000000000..607dcb5b26
--- /dev/null
+++ b/sdk/python/feast/infra/materialization/kubernetes/k8s_materialization_task.py
@@ -0,0 +1,10 @@
+from feast.infra.materialization.batch_materialization_engine import MaterializationTask
+
+
+class KubernetesMaterializationTask(MaterializationTask):
+    def __init__(self, project, feature_view, start_date, end_date, tqdm):
+        self.project = project
+        self.feature_view = feature_view
+        self.start_date = start_date
+        self.end_date = end_date
+        self.tqdm = tqdm
diff --git a/sdk/python/feast/infra/materialization/kubernetes/main.py b/sdk/python/feast/infra/materialization/kubernetes/main.py
new file mode 100644
index 0000000000..d80cad3edb
--- /dev/null
+++ b/sdk/python/feast/infra/materialization/kubernetes/main.py
@@ -0,0 +1,85 @@
+import logging
+import os
+from typing import List
+
+import pyarrow as pa
+import pyarrow.parquet as pq
+import yaml
+
+from feast import FeatureStore, FeatureView, RepoConfig
+from feast.utils import _convert_arrow_to_proto, _run_pyarrow_field_mapping
+
+logger = logging.getLogger(__name__)
+DEFAULT_BATCH_SIZE = 1000
+
+
+class KubernetesMaterializer:
+    def __init__(
+        self,
+        config: RepoConfig,
+        feature_view: FeatureView,
+        paths: List[str],
+        worker_index: int,
+    ):
+        self.config = config
+        self.feature_store = FeatureStore(config=config)
+
+        self.feature_view = feature_view
+        self.worker_index = worker_index
+        self.paths = paths
+        self.mini_batch_size = int(os.getenv("MINI_BATCH_SIZE", DEFAULT_BATCH_SIZE))
+
+    def process_path(self, path):
+        logger.info(f"Processing path {path}")
+        dataset = pq.ParquetDataset(path, use_legacy_dataset=False)
+        batches = []
+        for fragment in dataset.fragments:
+            for batch in fragment.to_table().to_batches(
+                max_chunksize=self.mini_batch_size
+            ):
+                batches.append(batch)
+        return batches
+
+    def run(self):
+        for mini_batch in self.process_path(self.paths[self.worker_index]):
+            table: pa.Table = pa.Table.from_batches([mini_batch])
+
+            if self.feature_view.batch_source.field_mapping is not None:
+                table = _run_pyarrow_field_mapping(
+                    table, self.feature_view.batch_source.field_mapping
+                )
+            join_key_to_value_type = {
+                entity.name: entity.dtype.to_value_type()
+                for entity in self.feature_view.entity_columns
+            }
+            rows_to_write = _convert_arrow_to_proto(
+                table, self.feature_view, join_key_to_value_type
+            )
+            self.feature_store._get_provider().online_write_batch(
+                config=self.config,
+                table=self.feature_view,
+                data=rows_to_write,
+                progress=None,
+            )
+
+
+if __name__ == "__main__":
+    logging.basicConfig(level=logging.INFO)
+
+    with open("/var/feast/feature_store.yaml") as f:
+        feast_config = yaml.load(f, Loader=yaml.Loader)
+
+        with open("/var/feast/materialization_config.yaml") as b:
+            materialization_cfg = yaml.load(b, Loader=yaml.Loader)
+
+            config = RepoConfig(**feast_config)
+            store = FeatureStore(config=config)
+
+            KubernetesMaterializer(
+                config=config,
+                feature_view=store.get_feature_view(
+                    materialization_cfg["feature_view"]
+                ),
+                paths=materialization_cfg["paths"],
+                worker_index=int(os.environ["JOB_COMPLETION_INDEX"]),
+            ).run()
diff --git a/sdk/python/feast/infra/materialization/snowflake_engine.py b/sdk/python/feast/infra/materialization/snowflake_engine.py
index 36c42cd390..4a81982dcd 100644
--- a/sdk/python/feast/infra/materialization/snowflake_engine.py
+++ b/sdk/python/feast/infra/materialization/snowflake_engine.py
@@ -7,14 +7,14 @@
 import click
 import pandas as pd
 from colorama import Fore, Style
-from pydantic import Field, StrictStr
+from pydantic import ConfigDict, Field, StrictStr
 from pytz import utc
 from tqdm import tqdm
 
 import feast
 from feast.batch_feature_view import BatchFeatureView
 from feast.entity import Entity
-from feast.feature_view import FeatureView
+from feast.feature_view import DUMMY_ENTITY_ID, FeatureView
 from feast.infra.materialization.batch_materialization_engine import (
     BatchMaterializationEngine,
     MaterializationJob,
@@ -72,9 +72,7 @@ class SnowflakeMaterializationEngineConfig(FeastConfigBaseModel):
 
     schema_: Optional[str] = Field("PUBLIC", alias="schema")
     """ Snowflake schema name """
-
-    class Config:
-        allow_population_by_field_name = True
+    model_config = ConfigDict(populate_by_name=True)
 
 
 @dataclass
@@ -171,7 +169,6 @@ def teardown_infra(
         fvs: Sequence[Union[BatchFeatureView, StreamFeatureView, FeatureView]],
         entities: Sequence[Entity],
     ):
-
         stage_path = f'"{self.repo_config.batch_engine.database}"."{self.repo_config.batch_engine.schema_}"."feast_{project}"'
         with GetSnowflakeConnection(self.repo_config.batch_engine) as conn:
             query = f"DROP STAGE IF EXISTS {stage_path}"
@@ -232,8 +229,9 @@ def _materialize_one(
         project: str,
         tqdm_builder: Callable[[int], tqdm],
     ):
-        assert isinstance(feature_view, BatchFeatureView) or isinstance(
-            feature_view, FeatureView
+        assert (
+            isinstance(feature_view, BatchFeatureView)
+            or isinstance(feature_view, FeatureView)
         ), "Snowflake can only materialize FeatureView & BatchFeatureView feature view types."
 
         entities = []
@@ -276,7 +274,11 @@ def _materialize_one(
 
             fv_latest_values_sql = offline_job.to_sql()
 
-            if feature_view.entity_columns:
+            if (
+                feature_view.entity_columns[0].name == DUMMY_ENTITY_ID
+            ):  # entityless Feature View's placeholder entity
+                entities_to_write = 1
+            else:
                 join_keys = [entity.name for entity in feature_view.entity_columns]
                 unique_entities = '"' + '", "'.join(join_keys) + '"'
 
@@ -289,10 +291,6 @@ def _materialize_one(
 
                 with GetSnowflakeConnection(self.repo_config.offline_store) as conn:
                     entities_to_write = conn.cursor().execute(query).fetchall()[0][0]
-            else:
-                entities_to_write = (
-                    1  # entityless feature view has a placeholder entity
-                )
 
             if feature_view.batch_source.field_mapping is not None:
                 fv_latest_mapped_values_sql = _run_snowflake_field_mapping(
@@ -352,7 +350,6 @@ def generate_snowflake_materialization_query(
         feature_batch: list,
         project: str,
     ) -> str:
-
         if feature_view.batch_source.created_timestamp_column:
             fv_created_str = f',"{feature_view.batch_source.created_timestamp_column}"'
         else:
@@ -479,7 +476,6 @@ def materialize_to_external_online_store(
         feature_view: Union[StreamFeatureView, FeatureView],
         pbar: tqdm,
     ) -> None:
-
         feature_names = [feature.name for feature in feature_view.features]
 
         with GetSnowflakeConnection(repo_config.batch_engine) as conn:
diff --git a/sdk/python/feast/infra/offline_stores/bigquery.py b/sdk/python/feast/infra/offline_stores/bigquery.py
index b7910c391c..897647bfc2 100644
--- a/sdk/python/feast/infra/offline_stores/bigquery.py
+++ b/sdk/python/feast/infra/offline_stores/bigquery.py
@@ -10,6 +10,7 @@
     Dict,
     Iterator,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
@@ -19,8 +20,7 @@
 import pandas as pd
 import pyarrow
 import pyarrow.parquet
-from pydantic import ConstrainedStr, StrictStr, validator
-from pydantic.typing import Literal
+from pydantic import StrictStr, field_validator
 from tenacity import Retrying, retry_if_exception_type, stop_after_delay, wait_fixed
 
 from feast import flags_helper
@@ -72,13 +72,6 @@ def get_http_client_info():
     return http_client_info.ClientInfo(user_agent=get_user_agent())
 
 
-class BigQueryTableCreateDisposition(ConstrainedStr):
-    """Custom constraint for table_create_disposition. To understand more, see:
-    https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobConfigurationLoad.FIELDS.create_disposition"""
-
-    values = {"CREATE_NEVER", "CREATE_IF_NEEDED"}
-
-
 class BigQueryOfflineStoreConfig(FeastConfigBaseModel):
     """Offline store config for GCP BigQuery"""
 
@@ -102,10 +95,15 @@ class BigQueryOfflineStoreConfig(FeastConfigBaseModel):
     gcs_staging_location: Optional[str] = None
     """ (optional) GCS location used for offloading BigQuery results as parquet files."""
 
-    table_create_disposition: Optional[BigQueryTableCreateDisposition] = None
-    """ (optional) Specifies whether the job is allowed to create new tables. The default value is CREATE_IF_NEEDED."""
+    table_create_disposition: Literal["CREATE_NEVER", "CREATE_IF_NEEDED"] = (
+        "CREATE_IF_NEEDED"
+    )
+    """ (optional) Specifies whether the job is allowed to create new tables. The default value is CREATE_IF_NEEDED.
+    Custom constraint for table_create_disposition. To understand more, see:
+    https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobConfigurationLoad.FIELDS.create_disposition
+    """
 
-    @validator("billing_project_id")
+    @field_validator("billing_project_id")
     def project_id_exists(cls, v, values, **kwargs):
         if v and not values["project_id"]:
             raise ValueError(
@@ -356,7 +354,10 @@ def write_logged_features(
             # In Pyarrow v13.0, the parquet version was upgraded to v2.6 from v2.4.
             # Set the coerce_timestamps to "us"(microseconds) for backward compatibility.
             pyarrow.parquet.write_table(
-                table=data, where=parquet_temp_file, coerce_timestamps="us"
+                table=data,
+                where=parquet_temp_file,
+                coerce_timestamps="us",
+                allow_truncated_timestamps=True,
             )
 
             parquet_temp_file.seek(0)
@@ -407,7 +408,10 @@ def offline_write_batch(
             # In Pyarrow v13.0, the parquet version was upgraded to v2.6 from v2.4.
             # Set the coerce_timestamps to "us"(microseconds) for backward compatibility.
             pyarrow.parquet.write_table(
-                table=table, where=parquet_temp_file, coerce_timestamps="us"
+                table=table,
+                where=parquet_temp_file,
+                coerce_timestamps="us",
+                allow_truncated_timestamps=True,
             )
 
             parquet_temp_file.seek(0)
diff --git a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena.py b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena.py
index 85a61106aa..43960d87d5 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena.py
@@ -8,6 +8,7 @@
     Dict,
     Iterator,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
@@ -18,7 +19,6 @@
 import pyarrow
 import pyarrow as pa
 from pydantic import StrictStr
-from pydantic.typing import Literal
 from pytz import utc
 
 from feast import OnDemandFeatureView
@@ -205,7 +205,6 @@ def get_historical_features(
 
         @contextlib.contextmanager
         def query_generator() -> Iterator[str]:
-
             table_name = offline_utils.get_temp_entity_table_name()
 
             _upload_entity_df(entity_df, athena_client, config, s3_resource, table_name)
@@ -240,7 +239,6 @@ def query_generator() -> Iterator[str]:
             try:
                 yield query
             finally:
-
                 # Always clean up the temp Athena table
                 aws_utils.execute_athena_query(
                     athena_client,
@@ -423,7 +421,6 @@ def persist(
 
     @log_exceptions_and_usage
     def to_athena(self, table_name: str) -> None:
-
         if self.on_demand_feature_views:
             transformed_df = self.to_df()
 
diff --git a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena_source.py b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena_source.py
index 8e9e3893f3..509d707935 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/athena_source.py
@@ -297,9 +297,9 @@ class SavedDatasetAthenaStorage(SavedDatasetStorage):
     def __init__(
         self,
         table_ref: str,
-        query: str = None,
-        database: str = None,
-        data_source: str = None,
+        query: Optional[str] = None,
+        database: Optional[str] = None,
+        data_source: Optional[str] = None,
     ):
         self.athena_options = AthenaOptions(
             table=table_ref, query=query, database=database, data_source=data_source
@@ -307,7 +307,6 @@ def __init__(
 
     @staticmethod
     def from_proto(storage_proto: SavedDatasetStorageProto) -> SavedDatasetStorage:
-
         return SavedDatasetAthenaStorage(
             table_ref=AthenaOptions.from_proto(storage_proto.athena_storage).table
         )
diff --git a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/tests/data_source.py
index 384ab69e81..f01144afcc 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/tests/data_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/athena_offline_store/tests/data_source.py
@@ -22,7 +22,6 @@
 
 
 class AthenaDataSourceCreator(DataSourceCreator):
-
     tables: List[str] = []
 
     def __init__(self, project_name: str, *args, **kwargs):
@@ -48,12 +47,11 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         table_name = destination_name
         s3_target = (
             self.offline_store_config.s3_staging_location
diff --git a/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssql.py b/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssql.py
index 849d5cc797..67bae292c3 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssql.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/mssql.py
@@ -3,7 +3,7 @@
 import warnings
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
+from typing import Any, Callable, Dict, List, Literal, Optional, Set, Tuple, Union
 
 import numpy as np
 import pandas
@@ -11,7 +11,6 @@
 import pyarrow as pa
 import sqlalchemy
 from pydantic.types import StrictStr
-from pydantic.typing import Literal
 from sqlalchemy import create_engine
 from sqlalchemy.engine import Engine
 from sqlalchemy.orm import sessionmaker
@@ -32,7 +31,7 @@
 from feast.infra.provider import RetrievalJob
 from feast.infra.registry.base_registry import BaseRegistry
 from feast.on_demand_feature_view import OnDemandFeatureView
-from feast.repo_config import FeastBaseModel, RepoConfig
+from feast.repo_config import FeastConfigBaseModel, RepoConfig
 from feast.saved_dataset import SavedDatasetStorage
 from feast.type_map import pa_to_mssql_type
 from feast.usage import log_exceptions_and_usage
@@ -43,7 +42,7 @@
 EntitySchema = Dict[str, np.dtype]
 
 
-class MsSqlServerOfflineStoreConfig(FeastBaseModel):
+class MsSqlServerOfflineStoreConfig(FeastConfigBaseModel):
     """Offline store config for SQL Server"""
 
     type: Literal["mssql"] = "mssql"
diff --git a/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/tests/data_source.py
index 9b751d98ef..71ce56bdef 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/tests/data_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/mssql_offline_store/tests/data_source.py
@@ -1,4 +1,4 @@
-from typing import Dict, List
+from typing import Dict, List, Optional
 
 import pandas as pd
 import pytest
@@ -64,10 +64,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
-        **kwargs,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
         # Make sure the field mapping is correct and convert the datetime datasources.
         if timestamp_field in df:
@@ -99,10 +99,10 @@ def create_data_source(
         )
 
     def create_saved_dataset_destination(self) -> SavedDatasetStorage:
-        pass
+        raise NotImplementedError
 
     def get_prefixed_table_name(self, destination_name: str) -> str:
         return f"{self.project_name}_{destination_name}"
 
     def teardown(self):
-        pass
+        raise NotImplementedError
diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py
index c2e95a8648..1bf10202e1 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres.py
@@ -9,6 +9,7 @@
     Iterator,
     KeysView,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
@@ -19,7 +20,6 @@
 import pyarrow as pa
 from jinja2 import BaseLoader, Environment
 from psycopg2 import sql
-from pydantic.typing import Literal
 from pytz import utc
 
 from feast.data_source import DataSource
@@ -94,7 +94,7 @@ def pull_latest_from_table_or_query(
             FROM (
                 SELECT {a_field_string},
                 ROW_NUMBER() OVER({partition_by_join_key_string} ORDER BY {timestamp_desc_string}) AS _feast_row
-                FROM ({from_expression}) a
+                FROM {from_expression} a
                 WHERE a."{timestamp_field}" BETWEEN '{start_date}'::timestamptz AND '{end_date}'::timestamptz
             ) b
             WHERE _feast_row = 1
@@ -160,7 +160,7 @@ def query_generator() -> Iterator[str]:
             # Hack for query_context.entity_selections to support uppercase in columns
             for context in query_context_dict:
                 context["entity_selections"] = [
-                    f'''"{entity_selection.replace(' AS ', '" AS "')}\"'''
+                    f""""{entity_selection.replace(' AS ', '" AS "')}\""""
                     for entity_selection in context["entity_selections"]
                 ]
 
@@ -338,9 +338,11 @@ def _get_entity_df_event_timestamp_range(
         # If the entity_df is a string (SQL query), determine range
         # from table
         with _get_conn(config.offline_store) as conn, conn.cursor() as cur:
-            cur.execute(
-                f"SELECT MIN({entity_df_event_timestamp_col}) AS min, MAX({entity_df_event_timestamp_col}) AS max FROM ({entity_df}) as tmp_alias"
-            ),
+            (
+                cur.execute(
+                    f"SELECT MIN({entity_df_event_timestamp_col}) AS min, MAX({entity_df_event_timestamp_col}) AS max FROM ({entity_df}) as tmp_alias"
+                ),
+            )
             res = cur.fetchone()
         entity_df_event_timestamp_range = (res[0], res[1])
     else:
diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py
index bc535ed194..bbb3f768fd 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/postgres_source.py
@@ -117,7 +117,6 @@ def get_table_column_names_and_types(
             )
 
     def get_table_query_string(self) -> str:
-
         if self._postgres_options._table:
             return f"{self._postgres_options._table}"
         else:
diff --git a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py
index f447950132..a23d90e186 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/postgres_offline_store/tests/data_source.py
@@ -1,5 +1,5 @@
 import logging
-from typing import Dict, Optional
+from typing import Dict, Literal, Optional
 
 import pandas as pd
 import pytest
@@ -7,11 +7,13 @@
 from testcontainers.core.waiting_utils import wait_for_logs
 
 from feast.data_source import DataSource
+from feast.feature_logging import LoggingDestination
 from feast.infra.offline_stores.contrib.postgres_offline_store.postgres import (
     PostgreSQLOfflineStoreConfig,
     PostgreSQLSource,
 )
 from feast.infra.utils.postgres.connection_utils import df_to_postgres_table
+from feast.infra.utils.postgres.postgres_config import PostgreSQLConfig
 from tests.integration.feature_repos.universal.data_source_creator import (
     DataSourceCreator,
 )
@@ -26,6 +28,10 @@
 POSTGRES_DB = "test"
 
 
+class PostgreSQLOnlineStoreConfig(PostgreSQLConfig):
+    type: Literal["postgres"] = "postgres"
+
+
 @pytest.fixture(scope="session")
 def postgres_container():
     container = (
@@ -52,6 +58,9 @@ def postgres_container():
 
 
 class PostgreSQLDataSourceCreator(DataSourceCreator, OnlineStoreCreator):
+    def create_logged_features_destination(self) -> LoggingDestination:
+        return None  # type: ignore
+
     def __init__(
         self, project_name: str, fixture_request: pytest.FixtureRequest, **kwargs
     ):
@@ -82,10 +91,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
         destination_name = self.get_prefixed_table_name(destination_name)
 
@@ -106,17 +115,17 @@ def create_offline_store_config(self) -> PostgreSQLOfflineStoreConfig:
     def get_prefixed_table_name(self, suffix: str) -> str:
         return f"{self.project_name}_{suffix}"
 
-    def create_online_store(self) -> Dict[str, str]:
+    def create_online_store(self) -> PostgreSQLOnlineStoreConfig:
         assert self.container
-        return {
-            "type": "postgres",
-            "host": "localhost",
-            "port": self.container.get_exposed_port(5432),
-            "database": POSTGRES_DB,
-            "db_schema": "feature_store",
-            "user": POSTGRES_USER,
-            "password": POSTGRES_PASSWORD,
-        }
+        return PostgreSQLOnlineStoreConfig(
+            type="postgres",
+            host="localhost",
+            port=self.container.get_exposed_port(5432),
+            database=POSTGRES_DB,
+            db_schema="feature_store",
+            user=POSTGRES_USER,
+            password=POSTGRES_PASSWORD,
+        )
 
     def create_saved_dataset_destination(self):
         # FIXME: ...
diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py
index c9591b7c3f..43902f33cf 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark.py
@@ -125,7 +125,7 @@ def get_historical_features(
         config: RepoConfig,
         feature_views: List[FeatureView],
         feature_refs: List[str],
-        entity_df: Union[pandas.DataFrame, str],
+        entity_df: Union[pandas.DataFrame, str, pyspark.sql.DataFrame],
         registry: Registry,
         project: str,
         full_feature_names: bool = False,
@@ -389,7 +389,6 @@ def supports_remote_storage_export(self) -> bool:
     def to_remote_storage(self) -> List[str]:
         """Currently only works for local and s3-based staging locations"""
         if self.supports_remote_storage_export():
-
             sdf: pyspark.sql.DataFrame = self.to_spark_df()
 
             if self._config.offline_store.staging_location.startswith("/"):
@@ -405,7 +404,6 @@ def to_remote_storage(self) -> List[str]:
 
                 return _list_files_in_folder(output_uri)
             elif self._config.offline_store.staging_location.startswith("s3://"):
-
                 spark_compatible_s3_staging_location = (
                     self._config.offline_store.staging_location.replace(
                         "s3://", "s3a://"
@@ -473,15 +471,16 @@ def _get_entity_df_event_timestamp_range(
             entity_df_event_timestamp.min().to_pydatetime(),
             entity_df_event_timestamp.max().to_pydatetime(),
         )
-    elif isinstance(entity_df, str):
+    elif isinstance(entity_df, str) or isinstance(entity_df, pyspark.sql.DataFrame):
         # If the entity_df is a string (SQL query), determine range
         # from table
-        df = spark_session.sql(entity_df).select(entity_df_event_timestamp_col)
-
-        # Checks if executing entity sql resulted in any data
-        if df.rdd.isEmpty():
-            raise EntitySQLEmptyResults(entity_df)
-
+        if isinstance(entity_df, str):
+            df = spark_session.sql(entity_df).select(entity_df_event_timestamp_col)
+            # Checks if executing entity sql resulted in any data
+            if df.rdd.isEmpty():
+                raise EntitySQLEmptyResults(entity_df)
+        else:
+            df = entity_df
         # TODO(kzhang132): need utc conversion here.
 
         entity_df_event_timestamp_range = (
@@ -499,8 +498,11 @@ def _get_entity_schema(
 ) -> Dict[str, np.dtype]:
     if isinstance(entity_df, pd.DataFrame):
         return dict(zip(entity_df.columns, entity_df.dtypes))
-    elif isinstance(entity_df, str):
-        entity_spark_df = spark_session.sql(entity_df)
+    elif isinstance(entity_df, str) or isinstance(entity_df, pyspark.sql.DataFrame):
+        if isinstance(entity_df, str):
+            entity_spark_df = spark_session.sql(entity_df)
+        else:
+            entity_spark_df = entity_df
         return dict(
             zip(
                 entity_spark_df.columns,
@@ -526,6 +528,9 @@ def _upload_entity_df(
     elif isinstance(entity_df, str):
         spark_session.sql(entity_df).createOrReplaceTempView(table_name)
         return
+    elif isinstance(entity_df, pyspark.sql.DataFrame):
+        entity_df.createOrReplaceTempView(table_name)
+        return
     else:
         raise InvalidEntityType(type(entity_df))
 
diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
index a27065fb5e..4eb020ebd3 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/spark_source.py
@@ -4,11 +4,9 @@
 from enum import Enum
 from typing import Any, Callable, Dict, Iterable, Optional, Tuple
 
-from pyspark.sql import SparkSession
-
 from feast import flags_helper
 from feast.data_source import DataSource
-from feast.errors import DataSourceNoNameException
+from feast.errors import DataSourceNoNameException, DataSourceNotFoundException
 from feast.infra.offline_stores.offline_utils import get_temp_entity_table_name
 from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
 from feast.protos.feast.core.SavedDataset_pb2 import (
@@ -39,7 +37,6 @@ def __init__(
         query: Optional[str] = None,
         path: Optional[str] = None,
         file_format: Optional[str] = None,
-        event_timestamp_column: Optional[str] = None,
         created_timestamp_column: Optional[str] = None,
         field_mapping: Optional[Dict[str, str]] = None,
         description: Optional[str] = "",
@@ -163,6 +160,13 @@ def get_table_column_names_and_types(
 
     def get_table_query_string(self) -> str:
         """Returns a string that can directly be used to reference this table in SQL"""
+        try:
+            from pyspark.sql import SparkSession
+        except ImportError as e:
+            from feast.errors import FeastExtrasDependencyImportError
+
+            raise FeastExtrasDependencyImportError("spark", str(e))
+
         if self.table:
             # Backticks make sure that spark sql knows this a table reference.
             table = ".".join([f"`{x}`" for x in self.table.split(".")])
@@ -180,11 +184,25 @@ def get_table_query_string(self) -> str:
             logger.exception(
                 "Spark read of file source failed.\n" + traceback.format_exc()
             )
+            raise DataSourceNotFoundException(self.path)
         tmp_table_name = get_temp_entity_table_name()
         df.createOrReplaceTempView(tmp_table_name)
 
         return f"`{tmp_table_name}`"
 
+    def __eq__(self, other):
+        base_eq = super().__eq__(other)
+        if not base_eq:
+            return False
+        return (
+            self.table == other.table
+            and self.query == other.query
+            and self.path == other.path
+        )
+
+    def __hash__(self):
+        return super().__hash__()
+
 
 class SparkOptions:
     allowed_formats = [format.value for format in SparkSourceFormat]
diff --git a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py
index 71c07b20c2..b978521885 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/spark_offline_store/tests/data_source.py
@@ -2,13 +2,14 @@
 import shutil
 import tempfile
 import uuid
-from typing import Dict, List
+from typing import Dict, List, Optional
 
 import pandas as pd
 from pyspark import SparkConf
 from pyspark.sql import SparkSession
 
 from feast.data_source import DataSource
+from feast.feature_logging import LoggingDestination
 from feast.infra.offline_stores.contrib.spark_offline_store.spark import (
     SparkOfflineStoreConfig,
 )
@@ -68,10 +69,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
-        **kwargs,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
         if timestamp_field in df:
             df[timestamp_field] = pd.to_datetime(df[timestamp_field], utc=True)
@@ -119,3 +120,7 @@ def create_saved_dataset_destination(self) -> SavedDatasetSparkStorage:
 
     def get_prefixed_table_name(self, suffix: str) -> str:
         return f"{self.project_name}_{suffix}"
+
+    def create_logged_features_destination(self) -> LoggingDestination:
+        # No implementation of LoggingDestination for Spark offline store.
+        return None  # type: ignore
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/connectors/upload.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/connectors/upload.py
index 5967b7a863..9e2ea3708d 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/connectors/upload.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/connectors/upload.py
@@ -17,6 +17,7 @@
         file_format: parquet
 ```
 """
+
 from datetime import datetime
 from typing import Any, Dict, Iterator, Optional, Set
 
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py
index 7d31aa90fb..a31d368ea1 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/test_config/manual_tests.py
@@ -8,6 +8,6 @@
 FULL_REPO_CONFIGS = [
     IntegrationTestRepoConfig(
         provider="local",
-        offline_store_creator=TrinoSourceCreator,
+        offline_store_creator=TrinoSourceCreator,  # type: ignore
     ),
 ]
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py
index a5aa53df7a..0dee517eb3 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/tests/data_source.py
@@ -46,7 +46,6 @@ def trino_container():
 
 
 class TrinoSourceCreator(DataSourceCreator):
-
     tables: List[str] = []
 
     def __init__(
@@ -62,10 +61,11 @@ def __init__(
                 "must be include into pytest plugins"
             )
         self.exposed_port = self.container.get_exposed_port("8080")
+        self.container_host = self.container.get_container_host_ip()
         self.client = Trino(
             user="user",
             catalog="memory",
-            host="localhost",
+            host=self.container_host,
             port=self.exposed_port,
             source="trino-python-client",
             http_scheme="http",
@@ -81,10 +81,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
         field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
         destination_name = self.get_prefixed_table_name(destination_name)
         self.client.execute_query(
@@ -123,9 +123,11 @@ def get_prefixed_table_name(self, suffix: str) -> str:
 
     def create_offline_store_config(self) -> FeastConfigBaseModel:
         return TrinoOfflineStoreConfig(
-            host="localhost",
+            host=self.container_host,
             port=self.exposed_port,
             catalog="memory",
             dataset=self.project_name,
             connector={"type": "memory"},
+            user="test",
+            auth=None,
         )
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py
index f662cda913..cdc9435024 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino.py
@@ -5,7 +5,7 @@
 import numpy as np
 import pandas as pd
 import pyarrow
-from pydantic import Field, FilePath, SecretStr, StrictBool, StrictStr, root_validator
+from pydantic import Field, FilePath, SecretStr, StrictBool, StrictStr, model_validator
 from trino.auth import (
     BasicAuthentication,
     CertificateAuthentication,
@@ -40,7 +40,7 @@
 
 class BasicAuthModel(FeastConfigBaseModel):
     username: StrictStr
-    password: SecretStr
+    password: StrictStr
 
 
 class KerberosAuthModel(FeastConfigBaseModel):
@@ -98,14 +98,14 @@ class AuthConfig(FeastConfigBaseModel):
     type: Literal["kerberos", "basic", "jwt", "oauth2", "certificate"]
     config: Optional[Dict[StrictStr, Any]]
 
-    @root_validator
-    def config_only_nullable_for_oauth2(cls, values):
-        auth_type = values["type"]
-        auth_config = values["config"]
+    @model_validator(mode="after")
+    def config_only_nullable_for_oauth2(self):
+        auth_type = self.type
+        auth_config = self.config
         if auth_type != "oauth2" and auth_config is None:
             raise ValueError(f"config cannot be null for auth type '{auth_type}'")
 
-        return values
+        return self
 
     def to_trino_auth(self):
         auth_type = self.type
diff --git a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
index e618e8664e..73d40d902e 100644
--- a/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
+++ b/sdk/python/feast/infra/offline_stores/contrib/trino_offline_store/trino_source.py
@@ -182,7 +182,6 @@ def trino_options(self, trino_options):
 
     @staticmethod
     def from_proto(data_source: DataSourceProto):
-
         assert data_source.HasField("trino_options")
 
         return TrinoSource(
diff --git a/sdk/python/feast/infra/offline_stores/duckdb.py b/sdk/python/feast/infra/offline_stores/duckdb.py
new file mode 100644
index 0000000000..d43286f371
--- /dev/null
+++ b/sdk/python/feast/infra/offline_stores/duckdb.py
@@ -0,0 +1,17 @@
+import ibis
+from pydantic import StrictStr
+
+from feast.infra.offline_stores.ibis import IbisOfflineStore
+from feast.repo_config import FeastConfigBaseModel
+
+
+class DuckDBOfflineStoreConfig(FeastConfigBaseModel):
+    type: StrictStr = "duckdb"
+    # """ Offline store type selector"""
+
+
+class DuckDBOfflineStore(IbisOfflineStore):
+    @staticmethod
+    def setup_ibis_backend():
+        # there's no need to call setup as duckdb is default ibis backend
+        ibis.set_backend("duckdb")
diff --git a/sdk/python/feast/infra/offline_stores/file.py b/sdk/python/feast/infra/offline_stores/file.py
index 5e4107545f..1ae9a1558d 100644
--- a/sdk/python/feast/infra/offline_stores/file.py
+++ b/sdk/python/feast/infra/offline_stores/file.py
@@ -2,15 +2,15 @@
 import uuid
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Callable, List, Optional, Tuple, Union
+from typing import Any, Callable, Dict, List, Literal, Optional, Tuple, Union
 
+import dask
 import dask.dataframe as dd
 import pandas as pd
 import pyarrow
 import pyarrow.dataset
 import pyarrow.parquet
 import pytz
-from pydantic.typing import Literal
 
 from feast.data_source import DataSource
 from feast.errors import (
@@ -38,10 +38,12 @@
 from feast.repo_config import FeastConfigBaseModel, RepoConfig
 from feast.saved_dataset import SavedDatasetStorage
 from feast.usage import log_exceptions_and_usage
-from feast.utils import (
-    _get_requested_feature_views_to_features_dict,
-    _run_dask_field_mapping,
-)
+from feast.utils import _get_requested_feature_views_to_features_dict
+
+# FileRetrievalJob will cast string objects to string[pyarrow] from dask version 2023.7.1
+# This is not the desired behavior for our use case, so we set the convert-string option to False
+# See (https://github.com/dask/dask/issues/10881#issuecomment-1923327936)
+dask.config.set({"dataframe.convert-string": False})
 
 
 class FileOfflineStoreConfig(FeastConfigBaseModel):
@@ -174,7 +176,6 @@ def get_historical_features(
 
         # Create lazy function that is only called from the RetrievalJob object
         def evaluate_historical_retrieval():
-
             # Create a copy of entity_df to prevent modifying the original
             entity_df_with_features = entity_df.copy()
 
@@ -186,25 +187,31 @@ def evaluate_historical_retrieval():
                 or entity_df_event_timestamp_col_type.tz != pytz.UTC
             ):
                 # Make sure all event timestamp fields are tz-aware. We default tz-naive fields to UTC
-                entity_df_with_features[
-                    entity_df_event_timestamp_col
-                ] = entity_df_with_features[entity_df_event_timestamp_col].apply(
-                    lambda x: x if x.tzinfo is not None else x.replace(tzinfo=pytz.utc)
+                entity_df_with_features[entity_df_event_timestamp_col] = (
+                    entity_df_with_features[
+                        entity_df_event_timestamp_col
+                    ].apply(
+                        lambda x: x
+                        if x.tzinfo is not None
+                        else x.replace(tzinfo=pytz.utc)
+                    )
                 )
 
                 # Convert event timestamp column to datetime and normalize time zone to UTC
                 # This is necessary to avoid issues with pd.merge_asof
                 if isinstance(entity_df_with_features, dd.DataFrame):
-                    entity_df_with_features[
-                        entity_df_event_timestamp_col
-                    ] = dd.to_datetime(
-                        entity_df_with_features[entity_df_event_timestamp_col], utc=True
+                    entity_df_with_features[entity_df_event_timestamp_col] = (
+                        dd.to_datetime(
+                            entity_df_with_features[entity_df_event_timestamp_col],
+                            utc=True,
+                        )
                     )
                 else:
-                    entity_df_with_features[
-                        entity_df_event_timestamp_col
-                    ] = pd.to_datetime(
-                        entity_df_with_features[entity_df_event_timestamp_col], utc=True
+                    entity_df_with_features[entity_df_event_timestamp_col] = (
+                        pd.to_datetime(
+                            entity_df_with_features[entity_df_event_timestamp_col],
+                            utc=True,
+                        )
                     )
 
             # Sort event timestamp values
@@ -367,8 +374,6 @@ def evaluate_offline_job():
                 source_df[DUMMY_ENTITY_ID] = DUMMY_ENTITY_VAL
                 columns_to_extract.add(DUMMY_ENTITY_ID)
 
-            source_df = source_df.persist()
-
             return source_df[list(columns_to_extract)].persist()
 
         # When materializing a single feature view, we don't need full feature names. On demand transforms aren't materialized
@@ -509,6 +514,18 @@ def _read_datasource(data_source) -> dd.DataFrame:
     )
 
 
+def _run_dask_field_mapping(
+    table: dd.DataFrame,
+    field_mapping: Dict[str, str],
+):
+    if field_mapping:
+        # run field mapping in the forward direction
+        table = table.rename(columns=field_mapping)
+        table = table.persist()
+
+    return table
+
+
 def _field_mapping(
     df_to_join: dd.DataFrame,
     feature_view: FeatureView,
diff --git a/sdk/python/feast/infra/offline_stores/file_source.py b/sdk/python/feast/infra/offline_stores/file_source.py
index ac824b359f..2672cf78bf 100644
--- a/sdk/python/feast/infra/offline_stores/file_source.py
+++ b/sdk/python/feast/infra/offline_stores/file_source.py
@@ -1,5 +1,7 @@
 from typing import Callable, Dict, Iterable, List, Optional, Tuple
 
+import pyarrow
+from packaging import version
 from pyarrow._fs import FileSystem
 from pyarrow._s3fs import S3FileSystem
 from pyarrow.parquet import ParquetDataset
@@ -158,7 +160,13 @@ def get_table_column_names_and_types(
         # Adding support for different file format path
         # based on S3 filesystem
         if filesystem is None:
-            schema = ParquetDataset(path, use_legacy_dataset=False).schema
+            kwargs = (
+                {"use_legacy_dataset": False}
+                if version.parse(pyarrow.__version__) < version.parse("15.0.0")
+                else {}
+            )
+
+            schema = ParquetDataset(path, **kwargs).schema
             if hasattr(schema, "names") and hasattr(schema, "types"):
                 # Newer versions of pyarrow doesn't have this method,
                 # but this field is good enough.
@@ -183,7 +191,7 @@ def create_filesystem_and_path(
             return None, path
 
     def get_table_query_string(self) -> str:
-        pass
+        raise NotImplementedError
 
 
 class FileOptions:
diff --git a/sdk/python/feast/infra/offline_stores/ibis.py b/sdk/python/feast/infra/offline_stores/ibis.py
new file mode 100644
index 0000000000..f9c6b2d20b
--- /dev/null
+++ b/sdk/python/feast/infra/offline_stores/ibis.py
@@ -0,0 +1,438 @@
+import os
+import uuid
+from datetime import datetime, timedelta
+from pathlib import Path
+from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+
+import ibis
+import ibis.selectors as s
+import numpy as np
+import pandas as pd
+import pyarrow
+from ibis.expr import datatypes as dt
+from ibis.expr.types import Table
+from pytz import utc
+
+from feast.data_source import DataSource
+from feast.errors import SavedDatasetLocationAlreadyExists
+from feast.feature_logging import LoggingConfig, LoggingSource
+from feast.feature_view import FeatureView
+from feast.infra.offline_stores import offline_utils
+from feast.infra.offline_stores.file_source import (
+    FileLoggingDestination,
+    FileSource,
+    SavedDatasetFileStorage,
+)
+from feast.infra.offline_stores.offline_store import (
+    OfflineStore,
+    RetrievalJob,
+    RetrievalMetadata,
+)
+from feast.infra.offline_stores.offline_utils import (
+    get_pyarrow_schema_from_batch_source,
+)
+from feast.infra.registry.base_registry import BaseRegistry
+from feast.on_demand_feature_view import OnDemandFeatureView
+from feast.repo_config import RepoConfig
+from feast.saved_dataset import SavedDatasetStorage
+
+
+def _get_entity_schema(entity_df: pd.DataFrame) -> Dict[str, np.dtype]:
+    return dict(zip(entity_df.columns, entity_df.dtypes))
+
+
+class IbisOfflineStore(OfflineStore):
+    @staticmethod
+    def pull_latest_from_table_or_query(
+        config: RepoConfig,
+        data_source: DataSource,
+        join_key_columns: List[str],
+        feature_name_columns: List[str],
+        timestamp_field: str,
+        created_timestamp_column: Optional[str],
+        start_date: datetime,
+        end_date: datetime,
+    ) -> RetrievalJob:
+        raise NotImplementedError()
+
+    def _get_entity_df_event_timestamp_range(
+        entity_df: pd.DataFrame, entity_df_event_timestamp_col: str
+    ) -> Tuple[datetime, datetime]:
+        entity_df_event_timestamp = entity_df.loc[
+            :, entity_df_event_timestamp_col
+        ].infer_objects()
+        if pd.api.types.is_string_dtype(entity_df_event_timestamp):
+            entity_df_event_timestamp = pd.to_datetime(
+                entity_df_event_timestamp, utc=True
+            )
+        entity_df_event_timestamp_range = (
+            entity_df_event_timestamp.min().to_pydatetime(),
+            entity_df_event_timestamp.max().to_pydatetime(),
+        )
+
+        return entity_df_event_timestamp_range
+
+    @staticmethod
+    def _to_utc(entity_df: pd.DataFrame, event_timestamp_col):
+        entity_df_event_timestamp = entity_df.loc[
+            :, event_timestamp_col
+        ].infer_objects()
+        if pd.api.types.is_string_dtype(entity_df_event_timestamp):
+            entity_df_event_timestamp = pd.to_datetime(
+                entity_df_event_timestamp, utc=True
+            )
+
+        entity_df[event_timestamp_col] = entity_df_event_timestamp
+        return entity_df
+
+    @staticmethod
+    def _generate_row_id(
+        entity_table: Table, feature_views: List[FeatureView], event_timestamp_col
+    ) -> Table:
+        all_entities = [event_timestamp_col]
+        for fv in feature_views:
+            if fv.projection.join_key_map:
+                all_entities.extend(fv.projection.join_key_map.values())
+            else:
+                all_entities.extend([e.name for e in fv.entity_columns])
+
+        r = ibis.literal("")
+
+        for e in set(all_entities):
+            r = r.concat(entity_table[e].cast("string"))  # type: ignore
+
+        entity_table = entity_table.mutate(entity_row_id=r)
+
+        return entity_table
+
+    @staticmethod
+    def get_historical_features(
+        config: RepoConfig,
+        feature_views: List[FeatureView],
+        feature_refs: List[str],
+        entity_df: Union[pd.DataFrame, str],
+        registry: BaseRegistry,
+        project: str,
+        full_feature_names: bool = False,
+    ) -> RetrievalJob:
+        entity_schema = _get_entity_schema(
+            entity_df=entity_df,
+        )
+        event_timestamp_col = offline_utils.infer_event_timestamp_from_entity_df(
+            entity_schema=entity_schema,
+        )
+
+        # TODO get range with ibis
+        timestamp_range = IbisOfflineStore._get_entity_df_event_timestamp_range(
+            entity_df, event_timestamp_col
+        )
+
+        entity_df = IbisOfflineStore._to_utc(entity_df, event_timestamp_col)
+
+        entity_table = ibis.memtable(entity_df)
+        entity_table = IbisOfflineStore._generate_row_id(
+            entity_table, feature_views, event_timestamp_col
+        )
+
+        def read_fv(
+            feature_view: FeatureView, feature_refs: List[str], full_feature_names: bool
+        ) -> Tuple:
+            fv_table: Table = ibis.read_parquet(feature_view.batch_source.name)
+
+            for old_name, new_name in feature_view.batch_source.field_mapping.items():
+                if old_name in fv_table.columns:
+                    fv_table = fv_table.rename({new_name: old_name})
+
+            timestamp_field = feature_view.batch_source.timestamp_field
+
+            # TODO mutate only if tz-naive
+            fv_table = fv_table.mutate(
+                **{
+                    timestamp_field: fv_table[timestamp_field].cast(
+                        dt.Timestamp(timezone="UTC")
+                    )
+                }
+            )
+
+            full_name_prefix = feature_view.projection.name_alias or feature_view.name
+
+            feature_refs = [
+                fr.split(":")[1]
+                for fr in feature_refs
+                if fr.startswith(f"{full_name_prefix}:")
+            ]
+
+            if full_feature_names:
+                fv_table = fv_table.rename(
+                    {
+                        f"{full_name_prefix}__{feature}": feature
+                        for feature in feature_refs
+                    }
+                )
+
+                feature_refs = [
+                    f"{full_name_prefix}__{feature}" for feature in feature_refs
+                ]
+
+            return (
+                fv_table,
+                feature_view.batch_source.timestamp_field,
+                feature_view.batch_source.created_timestamp_column,
+                feature_view.projection.join_key_map
+                or {e.name: e.name for e in feature_view.entity_columns},
+                feature_refs,
+                feature_view.ttl,
+            )
+
+        res = point_in_time_join(
+            entity_table=entity_table,
+            feature_tables=[
+                read_fv(feature_view, feature_refs, full_feature_names)
+                for feature_view in feature_views
+            ],
+            event_timestamp_col=event_timestamp_col,
+        )
+
+        return IbisRetrievalJob(
+            res,
+            OnDemandFeatureView.get_requested_odfvs(feature_refs, project, registry),
+            full_feature_names,
+            metadata=RetrievalMetadata(
+                features=feature_refs,
+                keys=list(set(entity_df.columns) - {event_timestamp_col}),
+                min_event_timestamp=timestamp_range[0],
+                max_event_timestamp=timestamp_range[1],
+            ),
+        )
+
+    @staticmethod
+    def pull_all_from_table_or_query(
+        config: RepoConfig,
+        data_source: DataSource,
+        join_key_columns: List[str],
+        feature_name_columns: List[str],
+        timestamp_field: str,
+        start_date: datetime,
+        end_date: datetime,
+    ) -> RetrievalJob:
+        assert isinstance(data_source, FileSource)
+
+        fields = join_key_columns + feature_name_columns + [timestamp_field]
+        start_date = start_date.astimezone(tz=utc)
+        end_date = end_date.astimezone(tz=utc)
+
+        table = ibis.read_parquet(data_source.path)
+
+        table = table.select(*fields)
+
+        # TODO get rid of this fix
+        if "__log_date" in table.columns:
+            table = table.drop("__log_date")
+
+        table = table.filter(
+            ibis.and_(
+                table[timestamp_field] >= ibis.literal(start_date),
+                table[timestamp_field] <= ibis.literal(end_date),
+            )
+        )
+
+        return IbisRetrievalJob(
+            table=table,
+            on_demand_feature_views=[],
+            full_feature_names=False,
+            metadata=None,
+        )
+
+    @staticmethod
+    def write_logged_features(
+        config: RepoConfig,
+        data: Union[pyarrow.Table, Path],
+        source: LoggingSource,
+        logging_config: LoggingConfig,
+        registry: BaseRegistry,
+    ):
+        destination = logging_config.destination
+        assert isinstance(destination, FileLoggingDestination)
+
+        if isinstance(data, Path):
+            table = ibis.read_parquet(data)
+        else:
+            table = ibis.memtable(data)
+
+        if destination.partition_by:
+            kwargs = {"partition_by": destination.partition_by}
+        else:
+            kwargs = {}
+
+        # TODO always write to directory
+        table.to_parquet(
+            f"{destination.path}/{uuid.uuid4().hex}-{{i}}.parquet", **kwargs
+        )
+
+    @staticmethod
+    def offline_write_batch(
+        config: RepoConfig,
+        feature_view: FeatureView,
+        table: pyarrow.Table,
+        progress: Optional[Callable[[int], Any]],
+    ):
+        assert isinstance(feature_view.batch_source, FileSource)
+
+        pa_schema, column_names = get_pyarrow_schema_from_batch_source(
+            config, feature_view.batch_source
+        )
+        if column_names != table.column_names:
+            raise ValueError(
+                f"The input pyarrow table has schema {table.schema} with the incorrect columns {table.column_names}. "
+                f"The schema is expected to be {pa_schema} with the columns (in this exact order) to be {column_names}."
+            )
+
+        file_options = feature_view.batch_source.file_options
+        prev_table = ibis.read_parquet(file_options.uri).to_pyarrow()
+        if table.schema != prev_table.schema:
+            table = table.cast(prev_table.schema)
+        new_table = pyarrow.concat_tables([table, prev_table])
+
+        ibis.memtable(new_table).to_parquet(file_options.uri)
+
+
+class IbisRetrievalJob(RetrievalJob):
+    def __init__(
+        self, table, on_demand_feature_views, full_feature_names, metadata
+    ) -> None:
+        super().__init__()
+        self.table = table
+        self._on_demand_feature_views: List[OnDemandFeatureView] = (
+            on_demand_feature_views
+        )
+        self._full_feature_names = full_feature_names
+        self._metadata = metadata
+
+    def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
+        return self.table.execute()
+
+    def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
+        return self.table.to_pyarrow()
+
+    @property
+    def full_feature_names(self) -> bool:
+        return self._full_feature_names
+
+    @property
+    def on_demand_feature_views(self) -> List[OnDemandFeatureView]:
+        return self._on_demand_feature_views
+
+    def persist(
+        self,
+        storage: SavedDatasetStorage,
+        allow_overwrite: bool = False,
+        timeout: Optional[int] = None,
+    ):
+        assert isinstance(storage, SavedDatasetFileStorage)
+        if not allow_overwrite and os.path.exists(storage.file_options.uri):
+            raise SavedDatasetLocationAlreadyExists(location=storage.file_options.uri)
+
+        filesystem, path = FileSource.create_filesystem_and_path(
+            storage.file_options.uri,
+            storage.file_options.s3_endpoint_override,
+        )
+
+        if path.endswith(".parquet"):
+            pyarrow.parquet.write_table(
+                self.to_arrow(), where=path, filesystem=filesystem
+            )
+        else:
+            # otherwise assume destination is directory
+            pyarrow.parquet.write_to_dataset(
+                self.to_arrow(), root_path=path, filesystem=filesystem
+            )
+
+    @property
+    def metadata(self) -> Optional[RetrievalMetadata]:
+        return self._metadata
+
+
+def point_in_time_join(
+    entity_table: Table,
+    feature_tables: List[Tuple[Table, str, str, Dict[str, str], List[str], timedelta]],
+    event_timestamp_col="event_timestamp",
+):
+    # TODO handle ttl
+    all_entities = [event_timestamp_col]
+    for (
+        feature_table,
+        timestamp_field,
+        created_timestamp_field,
+        join_key_map,
+        _,
+        _,
+    ) in feature_tables:
+        all_entities.extend(join_key_map.values())
+
+    r = ibis.literal("")
+
+    for e in set(all_entities):
+        r = r.concat(entity_table[e].cast("string"))  # type: ignore
+
+    entity_table = entity_table.mutate(entity_row_id=r)
+
+    acc_table = entity_table
+
+    for (
+        feature_table,
+        timestamp_field,
+        created_timestamp_field,
+        join_key_map,
+        feature_refs,
+        ttl,
+    ) in feature_tables:
+        predicates = [
+            feature_table[k] == entity_table[v] for k, v in join_key_map.items()
+        ]
+
+        predicates.append(
+            feature_table[timestamp_field] <= entity_table[event_timestamp_col],
+        )
+
+        if ttl:
+            predicates.append(
+                feature_table[timestamp_field]
+                >= entity_table[event_timestamp_col] - ibis.literal(ttl)
+            )
+
+        feature_table = feature_table.inner_join(
+            entity_table, predicates, lname="", rname="{name}_y"
+        )
+
+        feature_table = feature_table.drop(s.endswith("_y"))
+
+        order_by_fields = [ibis.desc(feature_table[timestamp_field])]
+        if created_timestamp_field:
+            order_by_fields.append(ibis.desc(feature_table[created_timestamp_field]))
+
+        feature_table = (
+            feature_table.group_by(by="entity_row_id")
+            .order_by(order_by_fields)
+            .mutate(rn=ibis.row_number())
+        )
+
+        feature_table = feature_table.filter(
+            feature_table["rn"] == ibis.literal(0)
+        ).drop("rn")
+
+        select_cols = ["entity_row_id"]
+        select_cols.extend(feature_refs)
+        feature_table = feature_table.select(select_cols)
+
+        acc_table = acc_table.left_join(
+            feature_table,
+            predicates=[feature_table.entity_row_id == acc_table.entity_row_id],
+            lname="",
+            rname="{name}_yyyy",
+        )
+
+        acc_table = acc_table.drop(s.endswith("_yyyy"))
+
+    acc_table = acc_table.drop("entity_row_id")
+
+    return acc_table
diff --git a/sdk/python/feast/infra/offline_stores/offline_store.py b/sdk/python/feast/infra/offline_stores/offline_store.py
index 6141e3c435..4851aecae2 100644
--- a/sdk/python/feast/infra/offline_stores/offline_store.py
+++ b/sdk/python/feast/infra/offline_stores/offline_store.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import warnings
-from abc import ABC, abstractmethod
+from abc import ABC
 from datetime import datetime
 from pathlib import Path
 from typing import TYPE_CHECKING, Any, Callable, List, Optional, Union
@@ -76,32 +76,11 @@ def to_df(
             validation_reference (optional): The validation to apply against the retrieved dataframe.
             timeout (optional): The query timeout if applicable.
         """
-        features_df = self._to_df_internal(timeout=timeout)
-
-        if self.on_demand_feature_views:
-            # TODO(adchia): Fix requirement to specify dependent feature views in feature_refs
-            for odfv in self.on_demand_feature_views:
-                features_df = features_df.join(
-                    odfv.get_transformed_features_df(
-                        features_df,
-                        self.full_feature_names,
-                    )
-                )
-
-        if validation_reference:
-            if not flags_helper.is_test():
-                warnings.warn(
-                    "Dataset validation is an experimental feature. "
-                    "This API is unstable and it could and most probably will be changed in the future. "
-                    "We do not guarantee that future changes will maintain backward compatibility.",
-                    RuntimeWarning,
-                )
-
-            validation_result = validation_reference.profile.validate(features_df)
-            if not validation_result.is_success:
-                raise ValidationFailed(validation_result)
-
-        return features_df
+        return (
+            self.to_arrow(validation_reference=validation_reference, timeout=timeout)
+            .to_pandas()
+            .reset_index(drop=True)
+        )
 
     def to_arrow(
         self,
@@ -118,19 +97,20 @@ def to_arrow(
             validation_reference (optional): The validation to apply against the retrieved dataframe.
             timeout (optional): The query timeout if applicable.
         """
-        if not self.on_demand_feature_views and not validation_reference:
-            return self._to_arrow_internal(timeout=timeout)
-
-        features_df = self._to_df_internal(timeout=timeout)
+        features_table = self._to_arrow_internal(timeout=timeout)
         if self.on_demand_feature_views:
             for odfv in self.on_demand_feature_views:
-                features_df = features_df.join(
-                    odfv.get_transformed_features_df(
-                        features_df,
-                        self.full_feature_names,
-                    )
+                transformed_arrow = odfv.transform_arrow(
+                    features_table, self.full_feature_names
                 )
 
+                for col in transformed_arrow.column_names:
+                    if col.startswith("__index"):
+                        continue
+                    features_table = features_table.append_column(
+                        col, transformed_arrow[col]
+                    )
+
         if validation_reference:
             if not flags_helper.is_test():
                 warnings.warn(
@@ -140,19 +120,20 @@ def to_arrow(
                     RuntimeWarning,
                 )
 
-            validation_result = validation_reference.profile.validate(features_df)
+            validation_result = validation_reference.profile.validate(
+                features_table.to_pandas()
+            )
             if not validation_result.is_success:
                 raise ValidationFailed(validation_result)
 
-        return pyarrow.Table.from_pandas(features_df)
+        return features_table
 
     def to_sql(self) -> str:
         """
         Return RetrievalJob generated SQL statement if applicable.
         """
-        pass
+        raise NotImplementedError
 
-    @abstractmethod
     def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
         """
         Synchronously executes the underlying query and returns the result as a pandas dataframe.
@@ -162,9 +143,8 @@ def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
         Does not handle on demand transformations or dataset validation. For either of those,
         `to_df` should be used.
         """
-        pass
+        raise NotImplementedError
 
-    @abstractmethod
     def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
         """
         Synchronously executes the underlying query and returns the result as an arrow table.
@@ -174,21 +154,18 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
         Does not handle on demand transformations or dataset validation. For either of those,
         `to_arrow` should be used.
         """
-        pass
+        raise NotImplementedError
 
     @property
-    @abstractmethod
     def full_feature_names(self) -> bool:
         """Returns True if full feature names should be applied to the results of the query."""
-        pass
+        raise NotImplementedError
 
     @property
-    @abstractmethod
     def on_demand_feature_views(self) -> List[OnDemandFeatureView]:
         """Returns a list containing all the on demand feature views to be handled."""
-        pass
+        raise NotImplementedError
 
-    @abstractmethod
     def persist(
         self,
         storage: SavedDatasetStorage,
@@ -204,13 +181,12 @@ def persist(
             allow_overwrite: If True, a pre-existing location (e.g. table or file) can be overwritten.
                 Currently not all individual offline store implementations make use of this parameter.
         """
-        pass
+        raise NotImplementedError
 
     @property
-    @abstractmethod
     def metadata(self) -> Optional[RetrievalMetadata]:
         """Returns metadata about the retrieval job."""
-        pass
+        raise NotImplementedError
 
     def supports_remote_storage_export(self) -> bool:
         """Returns True if the RetrievalJob supports `to_remote_storage`."""
@@ -226,7 +202,7 @@ def to_remote_storage(self) -> List[str]:
         Returns:
             A list of parquet file paths in remote storage.
         """
-        raise NotImplementedError()
+        raise NotImplementedError
 
 
 class OfflineStore(ABC):
@@ -239,7 +215,6 @@ class OfflineStore(ABC):
     """
 
     @staticmethod
-    @abstractmethod
     def pull_latest_from_table_or_query(
         config: RepoConfig,
         data_source: DataSource,
@@ -270,10 +245,9 @@ def pull_latest_from_table_or_query(
         Returns:
             A RetrievalJob that can be executed to get the entity rows.
         """
-        pass
+        raise NotImplementedError
 
     @staticmethod
-    @abstractmethod
     def get_historical_features(
         config: RepoConfig,
         feature_views: List[FeatureView],
@@ -302,10 +276,9 @@ def get_historical_features(
         Returns:
             A RetrievalJob that can be executed to get the features.
         """
-        pass
+        raise NotImplementedError
 
     @staticmethod
-    @abstractmethod
     def pull_all_from_table_or_query(
         config: RepoConfig,
         data_source: DataSource,
@@ -334,7 +307,7 @@ def pull_all_from_table_or_query(
         Returns:
             A RetrievalJob that can be executed to get the entity rows.
         """
-        pass
+        raise NotImplementedError
 
     @staticmethod
     def write_logged_features(
@@ -358,7 +331,7 @@ def write_logged_features(
             logging_config: A LoggingConfig object that determines where the logs will be written.
             registry: The registry for the current feature store.
         """
-        raise NotImplementedError()
+        raise NotImplementedError
 
     @staticmethod
     def offline_write_batch(
@@ -377,4 +350,4 @@ def offline_write_batch(
             progress: Function to be called once a portion of the data has been written, used
                 to show progress.
         """
-        raise NotImplementedError()
+        raise NotImplementedError
diff --git a/sdk/python/feast/infra/offline_stores/redshift.py b/sdk/python/feast/infra/offline_stores/redshift.py
index 837cf49655..2565a569ad 100644
--- a/sdk/python/feast/infra/offline_stores/redshift.py
+++ b/sdk/python/feast/infra/offline_stores/redshift.py
@@ -9,6 +9,7 @@
     Dict,
     Iterator,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
@@ -19,8 +20,7 @@
 import pyarrow
 import pyarrow as pa
 from dateutil import parser
-from pydantic import StrictStr, root_validator
-from pydantic.typing import Literal
+from pydantic import StrictStr, model_validator
 from pytz import utc
 
 from feast import OnDemandFeatureView, RedshiftSource
@@ -51,13 +51,13 @@ class RedshiftOfflineStoreConfig(FeastConfigBaseModel):
     type: Literal["redshift"] = "redshift"
     """ Offline store type selector"""
 
-    cluster_id: Optional[StrictStr]
+    cluster_id: Optional[StrictStr] = None
     """ Redshift cluster identifier, for provisioned clusters """
 
-    user: Optional[StrictStr]
+    user: Optional[StrictStr] = None
     """ Redshift user name, only required for provisioned clusters """
 
-    workgroup: Optional[StrictStr]
+    workgroup: Optional[StrictStr] = None
     """ Redshift workgroup identifier, for serverless """
 
     region: StrictStr
@@ -72,16 +72,16 @@ class RedshiftOfflineStoreConfig(FeastConfigBaseModel):
     iam_role: StrictStr
     """ IAM Role for Redshift, granting it access to S3 """
 
-    @root_validator
-    def require_cluster_and_user_or_workgroup(cls, values):
+    @model_validator(mode="after")
+    def require_cluster_and_user_or_workgroup(self):
         """
         Provisioned Redshift clusters:  Require cluster_id and user, ignore workgroup
         Serverless Redshift:  Require workgroup, ignore cluster_id and user
         """
         cluster_id, user, workgroup = (
-            values.get("cluster_id"),
-            values.get("user"),
-            values.get("workgroup"),
+            self.cluster_id,
+            self.user,
+            self.workgroup,
         )
         if not (cluster_id and user) and not workgroup:
             raise ValueError(
@@ -90,7 +90,7 @@ def require_cluster_and_user_or_workgroup(cls, values):
         elif cluster_id and workgroup:
             raise ValueError("cannot specify both cluster_id and workgroup")
 
-        return values
+        return self
 
 
 class RedshiftOfflineStore(OfflineStore):
diff --git a/sdk/python/feast/infra/offline_stores/redshift_source.py b/sdk/python/feast/infra/offline_stores/redshift_source.py
index 52ab50ba00..f8cd53b246 100644
--- a/sdk/python/feast/infra/offline_stores/redshift_source.py
+++ b/sdk/python/feast/infra/offline_stores/redshift_source.py
@@ -220,9 +220,9 @@ def get_table_column_names_and_types(
 
                 if config.offline_store.cluster_id:
                     # Provisioned cluster
-                    paginator_kwargs[
-                        "ClusterIdentifier"
-                    ] = config.offline_store.cluster_id
+                    paginator_kwargs["ClusterIdentifier"] = (
+                        config.offline_store.cluster_id
+                    )
                     paginator_kwargs["DbUser"] = config.offline_store.user
                 elif config.offline_store.workgroup:
                     # Redshift serverless
diff --git a/sdk/python/feast/infra/offline_stores/snowflake.py b/sdk/python/feast/infra/offline_stores/snowflake.py
index 38568ce79b..907e4d4483 100644
--- a/sdk/python/feast/infra/offline_stores/snowflake.py
+++ b/sdk/python/feast/infra/offline_stores/snowflake.py
@@ -1,4 +1,5 @@
 import contextlib
+import json
 import os
 import uuid
 import warnings
@@ -13,6 +14,7 @@
     Dict,
     Iterator,
     List,
+    Literal,
     Optional,
     Tuple,
     Union,
@@ -22,8 +24,7 @@
 import numpy as np
 import pandas as pd
 import pyarrow
-from pydantic import Field, StrictStr
-from pydantic.typing import Literal
+from pydantic import ConfigDict, Field, StrictStr
 from pytz import utc
 
 from feast import OnDemandFeatureView
@@ -51,6 +52,17 @@
 )
 from feast.repo_config import FeastConfigBaseModel, RepoConfig
 from feast.saved_dataset import SavedDatasetStorage
+from feast.types import (
+    Array,
+    Bool,
+    Bytes,
+    Float32,
+    Float64,
+    Int32,
+    Int64,
+    String,
+    UnixTimestamp,
+)
 from feast.usage import log_exceptions_and_usage
 
 try:
@@ -107,9 +119,7 @@ class SnowflakeOfflineStoreConfig(FeastConfigBaseModel):
 
     convert_timestamp_columns: Optional[bool] = None
     """ Convert timestamp columns on export to a Parquet-supported format """
-
-    class Config:
-        allow_population_by_field_name = True
+    model_config = ConfigDict(populate_by_name=True)
 
 
 class SnowflakeOfflineStore(OfflineStore):
@@ -276,7 +286,6 @@ def get_historical_features(
 
         @contextlib.contextmanager
         def query_generator() -> Iterator[str]:
-
             table_name = offline_utils.get_temp_entity_table_name()
 
             _upload_entity_df(entity_df, snowflake_conn, config, table_name)
@@ -320,6 +329,7 @@ def query_generator() -> Iterator[str]:
             on_demand_feature_views=OnDemandFeatureView.get_requested_odfvs(
                 feature_refs, project, registry
             ),
+            feature_views=feature_views,
             metadata=RetrievalMetadata(
                 features=feature_refs,
                 keys=list(entity_schema.keys() - {entity_df_event_timestamp_col}),
@@ -398,9 +408,11 @@ def __init__(
         config: RepoConfig,
         full_feature_names: bool,
         on_demand_feature_views: Optional[List[OnDemandFeatureView]] = None,
+        feature_views: Optional[List[FeatureView]] = None,
         metadata: Optional[RetrievalMetadata] = None,
     ):
-
+        if feature_views is None:
+            feature_views = []
         if not isinstance(query, str):
             self._query_generator = query
         else:
@@ -416,6 +428,7 @@ def query_generator() -> Iterator[str]:
         self.config = config
         self._full_feature_names = full_feature_names
         self._on_demand_feature_views = on_demand_feature_views or []
+        self._feature_views = feature_views
         self._metadata = metadata
         self.export_path: Optional[str]
         if self.config.offline_store.blob_export_location:
@@ -436,23 +449,28 @@ def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
             self.snowflake_conn, self.to_sql()
         ).fetch_pandas_all()
 
+        for feature_view in self._feature_views:
+            for feature in feature_view.features:
+                if feature.dtype in [
+                    Array(String),
+                    Array(Bytes),
+                    Array(Int32),
+                    Array(Int64),
+                    Array(UnixTimestamp),
+                    Array(Float64),
+                    Array(Float32),
+                    Array(Bool),
+                ]:
+                    df[feature.name] = [
+                        json.loads(x) if x else None for x in df[feature.name]
+                    ]
+
         return df
 
     def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
-        pa_table = execute_snowflake_statement(
+        return execute_snowflake_statement(
             self.snowflake_conn, self.to_sql()
-        ).fetch_arrow_all()
-
-        if pa_table:
-            return pa_table
-        else:
-            empty_result = execute_snowflake_statement(
-                self.snowflake_conn, self.to_sql()
-            )
-
-            return pyarrow.Table.from_pandas(
-                pd.DataFrame(columns=[md.name for md in empty_result.description])
-            )
+        ).fetch_arrow_all(force_return_table=True)
 
     def to_sql(self) -> str:
         """
@@ -487,7 +505,6 @@ def to_snowflake(
         return None
 
     def to_arrow_batches(self) -> Iterator[pyarrow.Table]:
-
         table_name = "temp_arrow_batches_" + uuid.uuid4().hex
 
         self.to_snowflake(table_name=table_name, allow_overwrite=True, temporary=True)
@@ -500,7 +517,6 @@ def to_arrow_batches(self) -> Iterator[pyarrow.Table]:
         return arrow_batches
 
     def to_pandas_batches(self) -> Iterator[pd.DataFrame]:
-
         table_name = "temp_pandas_batches_" + uuid.uuid4().hex
 
         self.to_snowflake(table_name=table_name, allow_overwrite=True, temporary=True)
@@ -584,12 +600,17 @@ def to_remote_storage(self) -> List[str]:
               HEADER = TRUE
         """
         cursor = execute_snowflake_statement(self.snowflake_conn, query)
+        # s3gov schema is used by Snowflake in AWS govcloud regions
+        # remove gov portion from schema and pass it to online store upload
+        native_export_path = self.export_path.replace("s3gov://", "s3://")
+        return self._get_file_names_from_copy_into(cursor, native_export_path)
 
+    def _get_file_names_from_copy_into(self, cursor, native_export_path) -> List[str]:
         file_name_column_index = [
             idx for idx, rm in enumerate(cursor.description) if rm.name == "FILE_NAME"
         ][0]
         return [
-            f"{self.export_path}/{row[file_name_column_index]}"
+            f"{native_export_path}/{row[file_name_column_index]}"
             for row in cursor.fetchall()
         ]
 
@@ -599,13 +620,10 @@ def _get_entity_schema(
     snowflake_conn: SnowflakeConnection,
     config: RepoConfig,
 ) -> Dict[str, np.dtype]:
-
     if isinstance(entity_df, pd.DataFrame):
-
         return dict(zip(entity_df.columns, entity_df.dtypes))
 
     else:
-
         query = f"SELECT * FROM ({entity_df}) LIMIT 1"
         limited_entity_df = execute_snowflake_statement(
             snowflake_conn, query
@@ -620,7 +638,6 @@ def _upload_entity_df(
     config: RepoConfig,
     table_name: str,
 ) -> None:
-
     if isinstance(entity_df, pd.DataFrame):
         # Write the data from the DataFrame to the table
         # Known issues with following entity data types: BINARY
@@ -644,7 +661,6 @@ def _upload_entity_df(
 
 
 def _fix_entity_selections_identifiers(query_context) -> list:
-
     for i, qc in enumerate(query_context):
         for j, es in enumerate(qc.entity_selections):
             query_context[i].entity_selections[j] = f'"{es}"'.replace(" AS ", '" AS "')
diff --git a/sdk/python/feast/infra/offline_stores/snowflake_source.py b/sdk/python/feast/infra/offline_stores/snowflake_source.py
index 95bd46f1ec..c0b2417099 100644
--- a/sdk/python/feast/infra/offline_stores/snowflake_source.py
+++ b/sdk/python/feast/infra/offline_stores/snowflake_source.py
@@ -1,5 +1,5 @@
 import warnings
-from typing import Callable, Dict, Iterable, Optional, Tuple
+from typing import Any, Callable, Dict, Iterable, List, Optional, Tuple, no_type_check
 
 from typeguard import typechecked
 
@@ -202,6 +202,7 @@ def get_table_query_string(self) -> str:
     def source_datatype_to_feast_value_type() -> Callable[[str], ValueType]:
         return type_map.snowflake_type_to_feast_value_type
 
+    @no_type_check
     def get_table_column_names_and_types(
         self, config: RepoConfig
     ) -> Iterable[Tuple[str, str]]:
@@ -223,7 +224,7 @@ def get_table_column_names_and_types(
             query = f"SELECT * FROM {self.get_table_query_string()} LIMIT 5"
             cursor = execute_snowflake_statement(conn, query)
 
-            metadata = [
+            metadata: List[Dict[str, Any]] = [
                 {
                     "column_name": column.name,
                     "type_code": column.type_code,
@@ -279,12 +280,12 @@ def get_table_column_names_and_types(
                 else:
                     row["snowflake_type"] = "NUMBERwSCALE"
 
-            elif row["type_code"] in [5, 9, 10, 12]:
+            elif row["type_code"] in [5, 9, 12]:
                 error = snowflake_unsupported_map[row["type_code"]]
                 raise NotImplementedError(
                     f"The following Snowflake Data Type is not supported: {error}"
                 )
-            elif row["type_code"] in [1, 2, 3, 4, 6, 7, 8, 11, 13]:
+            elif row["type_code"] in [1, 2, 3, 4, 6, 7, 8, 10, 11, 13]:
                 row["snowflake_type"] = snowflake_type_code_map[row["type_code"]]
             else:
                 raise NotImplementedError(
@@ -292,7 +293,8 @@ def get_table_column_names_and_types(
                 )
 
         return [
-            (column["column_name"], column["snowflake_type"]) for column in metadata
+            (str(column["column_name"]), str(column["snowflake_type"]))
+            for column in metadata
         ]
 
 
@@ -305,6 +307,7 @@ def get_table_column_names_and_types(
     6: "TIMESTAMP_LTZ",
     7: "TIMESTAMP_TZ",
     8: "TIMESTAMP_NTZ",
+    10: "ARRAY",
     11: "BINARY",
     13: "BOOLEAN",
 }
@@ -312,7 +315,6 @@ def get_table_column_names_and_types(
 snowflake_unsupported_map = {
     5: "VARIANT -- Try converting to VARCHAR",
     9: "OBJECT -- Try converting to VARCHAR",
-    10: "ARRAY -- Try converting to VARCHAR",
     12: "TIME -- Try converting to VARCHAR",
 }
 
@@ -393,7 +395,6 @@ def __init__(self, table_ref: str):
 
     @staticmethod
     def from_proto(storage_proto: SavedDatasetStorageProto) -> SavedDatasetStorage:
-
         return SavedDatasetSnowflakeStorage(
             table_ref=SnowflakeOptions.from_proto(storage_proto.snowflake_storage).table
         )
diff --git a/sdk/python/feast/infra/online_stores/bigtable.py b/sdk/python/feast/infra/online_stores/bigtable.py
index 30561d0840..3a83d23ced 100644
--- a/sdk/python/feast/infra/online_stores/bigtable.py
+++ b/sdk/python/feast/infra/online_stores/bigtable.py
@@ -2,13 +2,12 @@
 import logging
 from concurrent import futures
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Set, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Set, Tuple
 
 import google
 from google.cloud import bigtable
 from google.cloud.bigtable import row_filters
 from pydantic import StrictStr
-from pydantic.typing import Literal
 
 from feast import Entity, FeatureView, utils
 from feast.feature_view import DUMMY_ENTITY_NAME
diff --git a/sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/cassandra_online_store.py b/sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/cassandra_online_store.py
index 34a8cab036..c672e18db0 100644
--- a/sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/cassandra_online_store.py
+++ b/sdk/python/feast/infra/online_stores/contrib/cassandra_online_store/cassandra_online_store.py
@@ -20,7 +20,17 @@
 
 import logging
 from datetime import datetime
-from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Tuple
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    Iterable,
+    List,
+    Literal,
+    Optional,
+    Sequence,
+    Tuple,
+)
 
 from cassandra.auth import PlainTextAuthProvider
 from cassandra.cluster import (
@@ -34,7 +44,6 @@
 from cassandra.policies import DCAwareRoundRobinPolicy, TokenAwarePolicy
 from cassandra.query import PreparedStatement
 from pydantic import StrictFloat, StrictInt, StrictStr
-from pydantic.typing import Literal
 
 from feast import Entity, FeatureView, RepoConfig
 from feast.infra.key_encoding_utils import serialize_entity_key
diff --git a/sdk/python/feast/infra/online_stores/contrib/hazelcast_online_store/hazelcast_online_store.py b/sdk/python/feast/infra/online_stores/contrib/hazelcast_online_store/hazelcast_online_store.py
index 7ec803a69c..2537ecbf45 100644
--- a/sdk/python/feast/infra/online_stores/contrib/hazelcast_online_store/hazelcast_online_store.py
+++ b/sdk/python/feast/infra/online_stores/contrib/hazelcast_online_store/hazelcast_online_store.py
@@ -17,6 +17,7 @@
 """
 Hazelcast online store for Feast.
 """
+
 import base64
 import threading
 from datetime import datetime, timezone
@@ -200,7 +201,6 @@ def online_read(
         entity_keys: List[EntityKeyProto],
         requested_features: Optional[List[str]] = None,
     ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]:
-
         online_store_config = config.online_store
         if not isinstance(online_store_config, HazelcastOnlineStoreConfig):
             raise HazelcastInvalidConfig(
diff --git a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py
index 1da9de89a8..d46b848c12 100644
--- a/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py
+++ b/sdk/python/feast/infra/online_stores/contrib/hbase_online_store/hbase.py
@@ -1,12 +1,11 @@
 import calendar
 import struct
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple
 
 from happybase import ConnectionPool
 from happybase.connection import DEFAULT_PROTOCOL, DEFAULT_TRANSPORT
 from pydantic import StrictStr
-from pydantic.typing import Literal
 
 from feast import Entity
 from feast.feature_view import FeatureView
@@ -108,9 +107,9 @@ def online_write_batch(
             )
             values_dict = {}
             for feature_name, val in values.items():
-                values_dict[
-                    HbaseConstants.get_col_from_feature(feature_name)
-                ] = val.SerializeToString()
+                values_dict[HbaseConstants.get_col_from_feature(feature_name)] = (
+                    val.SerializeToString()
+                )
             if isinstance(timestamp, datetime):
                 values_dict[HbaseConstants.DEFAULT_EVENT_TS] = struct.pack(
                     ">L", int(calendar.timegm(timestamp.timetuple()))
diff --git a/sdk/python/feast/infra/online_stores/contrib/mysql_online_store/mysql.py b/sdk/python/feast/infra/online_stores/contrib/mysql_online_store/mysql.py
index fa7dd2c2a4..26916a9fcb 100644
--- a/sdk/python/feast/infra/online_stores/contrib/mysql_online_store/mysql.py
+++ b/sdk/python/feast/infra/online_stores/contrib/mysql_online_store/mysql.py
@@ -1,7 +1,7 @@
 from __future__ import absolute_import
 
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple
 
 import pymysql
 import pytz
@@ -23,7 +23,7 @@ class MySQLOnlineStoreConfig(FeastConfigBaseModel):
     NOTE: The class *must* end with the `OnlineStoreConfig` suffix.
     """
 
-    type = "mysql"
+    type: Literal["mysql"] = "mysql"
 
     host: Optional[StrictStr] = None
     user: Optional[StrictStr] = None
@@ -41,7 +41,6 @@ class MySQLOnlineStore(OnlineStore):
     _conn: Optional[Connection] = None
 
     def _get_conn(self, config: RepoConfig) -> Connection:
-
         online_store_config = config.online_store
         assert isinstance(online_store_config, MySQLOnlineStoreConfig)
 
@@ -65,7 +64,6 @@ def online_write_batch(
         ],
         progress: Optional[Callable[[int], Any]],
     ) -> None:
-
         conn = self._get_conn(config)
         cur = conn.cursor()
 
@@ -178,8 +176,10 @@ def update(
 
         # We don't create any special state for the entities in this implementation.
         for table in tables_to_keep:
+            table_name = _table_id(project, table)
+            index_name = f"{table_name}_ek"
             cur.execute(
-                f"""CREATE TABLE IF NOT EXISTS {_table_id(project, table)} (entity_key VARCHAR(512),
+                f"""CREATE TABLE IF NOT EXISTS {table_name} (entity_key VARCHAR(512),
                 feature_name VARCHAR(256),
                 value BLOB,
                 event_ts timestamp NULL DEFAULT NULL,
@@ -187,9 +187,16 @@ def update(
                 PRIMARY KEY(entity_key, feature_name))"""
             )
 
-            cur.execute(
-                f"ALTER TABLE {_table_id(project, table)} ADD INDEX {_table_id(project, table)}_ek (entity_key);"
+            index_exists = cur.execute(
+                f"""
+                SELECT 1 FROM information_schema.statistics
+                WHERE table_schema = DATABASE() AND table_name = '{table_name}' AND index_name = '{index_name}'
+                """
             )
+            if not index_exists:
+                cur.execute(
+                    f"ALTER TABLE {table_name} ADD INDEX {index_name} (entity_key);"
+                )
 
         for table in tables_to_delete:
             _drop_table_and_index(cur, project, table)
diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres.py b/sdk/python/feast/infra/online_stores/contrib/postgres.py
index a12e66f109..2dcb618783 100644
--- a/sdk/python/feast/infra/online_stores/contrib/postgres.py
+++ b/sdk/python/feast/infra/online_stores/contrib/postgres.py
@@ -2,18 +2,17 @@
 import logging
 from collections import defaultdict
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Union
 
 import psycopg2
 import pytz
 from psycopg2 import sql
 from psycopg2.extras import execute_values
 from psycopg2.pool import SimpleConnectionPool
-from pydantic.schema import Literal
 
 from feast import Entity
 from feast.feature_view import FeatureView
-from feast.infra.key_encoding_utils import serialize_entity_key
+from feast.infra.key_encoding_utils import get_val_str, serialize_entity_key
 from feast.infra.online_stores.online_store import OnlineStore
 from feast.infra.utils.postgres.connection_utils import _get_conn, _get_connection_pool
 from feast.infra.utils.postgres.postgres_config import ConnectionType, PostgreSQLConfig
@@ -26,6 +25,12 @@
 class PostgreSQLOnlineStoreConfig(PostgreSQLConfig):
     type: Literal["postgres"] = "postgres"
 
+    # Whether to enable the pgvector extension for vector similarity search
+    pgvector_enabled: Optional[bool] = False
+
+    # If pgvector is enabled, the length of the vector field
+    vector_len: Optional[int] = 512
+
 
 class PostgreSQLOnlineStore(OnlineStore):
     _conn: Optional[psycopg2._psycopg.connection] = None
@@ -69,11 +74,19 @@ def online_write_batch(
                     created_ts = _to_naive_utc(created_ts)
 
                 for feature_name, val in values.items():
+                    val_str: Union[str, bytes]
+                    if (
+                        "pgvector_enabled" in config.online_config
+                        and config.online_config["pgvector_enabled"]
+                    ):
+                        val_str = get_val_str(val)
+                    else:
+                        val_str = val.SerializeToString()
                     insert_values.append(
                         (
                             entity_key_bin,
                             feature_name,
-                            val.SerializeToString(),
+                            val_str,
                             timestamp,
                             created_ts,
                         )
@@ -99,6 +112,7 @@ def online_write_batch(
                     cur_batch,
                     page_size=batch_size,
                 )
+                conn.commit()
                 if progress:
                     progress(len(cur_batch))
 
@@ -212,6 +226,12 @@ def update(
 
             for table in tables_to_keep:
                 table_name = _table_id(project, table)
+                value_type = "BYTEA"
+                if (
+                    "pgvector_enabled" in config.online_config
+                    and config.online_config["pgvector_enabled"]
+                ):
+                    value_type = f'vector({config.online_config["vector_len"]})'
                 cur.execute(
                     sql.SQL(
                         """
@@ -219,7 +239,7 @@ def update(
                         (
                             entity_key BYTEA,
                             feature_name TEXT,
-                            value BYTEA,
+                            value {},
                             event_ts TIMESTAMPTZ,
                             created_ts TIMESTAMPTZ,
                             PRIMARY KEY(entity_key, feature_name)
@@ -228,6 +248,7 @@ def update(
                         """
                     ).format(
                         sql.Identifier(table_name),
+                        sql.SQL(value_type),
                         sql.Identifier(f"{table_name}_ek"),
                         sql.Identifier(table_name),
                     )
@@ -251,6 +272,74 @@ def teardown(
             logging.exception("Teardown failed")
             raise
 
+    def retrieve_online_documents(
+        self,
+        config: RepoConfig,
+        table: FeatureView,
+        requested_feature: str,
+        embedding: List[float],
+        top_k: int,
+    ) -> List[Tuple[Optional[datetime], Optional[ValueProto], Optional[ValueProto]]]:
+        """
+
+        Args:
+            config: Feast configuration object
+            table: FeatureView object as the table to search
+            requested_feature: The requested feature as the column to search
+            embedding: The query embedding to search for
+            top_k: The number of items to return
+        Returns:
+            List of tuples containing the event timestamp and the document feature
+
+        """
+        project = config.project
+
+        # Convert the embedding to a string to be used in postgres vector search
+        query_embedding_str = f"[{','.join(str(el) for el in embedding)}]"
+
+        result: List[
+            Tuple[Optional[datetime], Optional[ValueProto], Optional[ValueProto]]
+        ] = []
+        with self._get_conn(config) as conn, conn.cursor() as cur:
+            table_name = _table_id(project, table)
+
+            # Search query template to find the top k items that are closest to the given embedding
+            # SELECT * FROM items ORDER BY embedding <-> '[3,1,2]' LIMIT 5;
+            cur.execute(
+                sql.SQL(
+                    """
+                    SELECT
+                        entity_key,
+                        feature_name,
+                        value,
+                        value <-> %s as distance,
+                        event_ts FROM {table_name}
+                    WHERE feature_name = {feature_name}
+                    ORDER BY distance
+                    LIMIT {top_k};
+                    """
+                ).format(
+                    table_name=sql.Identifier(table_name),
+                    feature_name=sql.Literal(requested_feature),
+                    top_k=sql.Literal(top_k),
+                ),
+                (query_embedding_str,),
+            )
+            rows = cur.fetchall()
+
+            for entity_key, feature_name, value, distance, event_ts in rows:
+                # TODO Deserialize entity_key to return the entity in response
+                # entity_key_proto = EntityKeyProto()
+                # entity_key_proto_bin = bytes(entity_key)
+
+                # TODO Convert to List[float] for value type proto
+                feature_value_proto = ValueProto(string_val=value)
+
+                distance_value_proto = ValueProto(float_val=distance)
+                result.append((event_ts, feature_value_proto, distance_value_proto))
+
+        return result
+
 
 def _table_id(project: str, table: FeatureView) -> str:
     return f"{project}_{table.name}"
diff --git a/sdk/python/feast/infra/online_stores/contrib/postgres_repo_configuration.py b/sdk/python/feast/infra/online_stores/contrib/postgres_repo_configuration.py
index 2a9f0d54cd..6e4ca3f950 100644
--- a/sdk/python/feast/infra/online_stores/contrib/postgres_repo_configuration.py
+++ b/sdk/python/feast/infra/online_stores/contrib/postgres_repo_configuration.py
@@ -1,10 +1,18 @@
-from feast.infra.offline_stores.contrib.postgres_offline_store.tests.data_source import (
-    PostgreSQLDataSourceCreator,
-)
 from tests.integration.feature_repos.integration_test_repo_config import (
     IntegrationTestRepoConfig,
 )
+from tests.integration.feature_repos.universal.online_store.postgres import (
+    PGVectorOnlineStoreCreator,
+    PostgresOnlineStoreCreator,
+)
 
 FULL_REPO_CONFIGS = [
-    IntegrationTestRepoConfig(online_store_creator=PostgreSQLDataSourceCreator),
+    IntegrationTestRepoConfig(
+        online_store="postgres", online_store_creator=PostgresOnlineStoreCreator
+    ),
+    IntegrationTestRepoConfig(
+        online_store="pgvector", online_store_creator=PGVectorOnlineStoreCreator
+    ),
 ]
+
+AVAILABLE_ONLINE_STORES = {"pgvector": PGVectorOnlineStoreCreator}
diff --git a/sdk/python/feast/infra/online_stores/datastore.py b/sdk/python/feast/infra/online_stores/datastore.py
index ed4e7612ba..149354b472 100644
--- a/sdk/python/feast/infra/online_stores/datastore.py
+++ b/sdk/python/feast/infra/online_stores/datastore.py
@@ -17,10 +17,19 @@
 from multiprocessing.pool import ThreadPool
 from queue import Empty, Queue
 from threading import Lock, Thread
-from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Tuple
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    Iterator,
+    List,
+    Literal,
+    Optional,
+    Sequence,
+    Tuple,
+)
 
 from pydantic import PositiveInt, StrictStr
-from pydantic.typing import Literal
 
 from feast import Entity, utils
 from feast.errors import FeastProviderLoginError
@@ -160,7 +169,6 @@ def online_write_batch(
         ],
         progress: Optional[Callable[[int], Any]],
     ) -> None:
-
         online_config = config.online_store
         assert isinstance(online_config, DatastoreOnlineStoreConfig)
         client = self._get_client(online_config)
@@ -250,7 +258,6 @@ def online_read(
         entity_keys: List[EntityKeyProto],
         requested_features: Optional[List[str]] = None,
     ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]:
-
         online_config = config.online_store
         assert isinstance(online_config, DatastoreOnlineStoreConfig)
         client = self._get_client(online_config)
diff --git a/sdk/python/feast/infra/online_stores/dynamodb.py b/sdk/python/feast/infra/online_stores/dynamodb.py
index 525978e736..a049189de7 100644
--- a/sdk/python/feast/infra/online_stores/dynamodb.py
+++ b/sdk/python/feast/infra/online_stores/dynamodb.py
@@ -14,10 +14,9 @@
 import itertools
 import logging
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Union
 
 from pydantic import StrictBool, StrictStr
-from pydantic.typing import Literal, Union
 
 from feast import Entity, FeatureView, utils
 from feast.infra.infra_object import DYNAMODB_INFRA_OBJECT_CLASS_TYPE, InfraObject
@@ -288,12 +287,12 @@ def _get_dynamodb_resource(self, region: str, endpoint_url: Optional[str] = None
             )
         return self._dynamodb_resource
 
-    def _sort_dynamodb_response(self, responses: list, order: list):
+    def _sort_dynamodb_response(self, responses: list, order: list) -> Any:
         """DynamoDB Batch Get Item doesn't return items in a particular order."""
         # Assign an index to order
         order_with_index = {value: idx for idx, value in enumerate(order)}
         # Sort table responses by index
-        table_responses_ordered = [
+        table_responses_ordered: Any = [
             (order_with_index[tbl_res["entity_id"]], tbl_res) for tbl_res in responses
         ]
         table_responses_ordered = sorted(
diff --git a/sdk/python/feast/infra/online_stores/online_store.py b/sdk/python/feast/infra/online_stores/online_store.py
index fcc3376dce..fc1b3d4ad3 100644
--- a/sdk/python/feast/infra/online_stores/online_store.py
+++ b/sdk/python/feast/infra/online_stores/online_store.py
@@ -134,3 +134,30 @@ def teardown(
             entities: Entities whose corresponding infrastructure should be deleted.
         """
         pass
+
+    def retrieve_online_documents(
+        self,
+        config: RepoConfig,
+        table: FeatureView,
+        requested_feature: str,
+        embedding: List[float],
+        top_k: int,
+    ) -> List[Tuple[Optional[datetime], Optional[ValueProto], Optional[ValueProto]]]:
+        """
+        Retrieves online feature values for the specified embeddings.
+
+        Args:
+            config: The config for the current feature store.
+            table: The feature view whose feature values should be read.
+            requested_feature: The name of the feature whose embeddings should be used for retrieval.
+            embedding: The embeddings to use for retrieval.
+            top_k: The number of nearest neighbors to retrieve.
+
+        Returns:
+            object: A list of top k closest documents to the specified embedding. Each item in the list is a tuple
+            where the first item is the event timestamp for the row, and the second item is a dict of feature
+            name to embeddings.
+        """
+        raise NotImplementedError(
+            f"Online store {self.__class__.__name__} does not support online retrieval"
+        )
diff --git a/sdk/python/feast/infra/online_stores/redis.py b/sdk/python/feast/infra/online_stores/redis.py
index 9561705aaa..6f6c2fb45c 100644
--- a/sdk/python/feast/infra/online_stores/redis.py
+++ b/sdk/python/feast/infra/online_stores/redis.py
@@ -21,6 +21,7 @@
     Callable,
     Dict,
     List,
+    Literal,
     Optional,
     Sequence,
     Tuple,
@@ -30,7 +31,6 @@
 import pytz
 from google.protobuf.timestamp_pb2 import Timestamp
 from pydantic import StrictStr
-from pydantic.typing import Literal
 
 from feast import Entity, FeatureView, RepoConfig, utils
 from feast.infra.online_stores.helpers import _mmh3, _redis_key, _redis_key_prefix
@@ -106,6 +106,39 @@ def delete_entity_values(self, config: RepoConfig, join_keys: List[str]):
 
         logger.debug(f"Deleted {deleted_count} rows for entity {', '.join(join_keys)}")
 
+    def delete_table(self, config: RepoConfig, table: FeatureView):
+        """
+        Delete all rows in Redis for a specific feature view
+
+        Args:
+            config: Feast config
+            table: Feature view to delete
+        """
+        client = self._get_client(config.online_store)
+        deleted_count = 0
+        prefix = _redis_key_prefix(table.join_keys)
+
+        redis_hash_keys = [_mmh3(f"{table.name}:{f.name}") for f in table.features]
+        redis_hash_keys.append(bytes(f"_ts:{table.name}", "utf8"))
+
+        with client.pipeline(transaction=False) as pipe:
+            for _k in client.scan_iter(
+                b"".join([prefix, b"*", config.project.encode("utf8")])
+            ):
+                _tables = {
+                    _hk[4:] for _hk in client.hgetall(_k) if _hk.startswith(b"_ts:")
+                }
+                if bytes(table.name, "utf8") not in _tables:
+                    continue
+                if len(_tables) == 1:
+                    pipe.delete(_k)
+                else:
+                    pipe.hdel(_k, *redis_hash_keys)
+                deleted_count += 1
+            pipe.execute()
+
+        logger.debug(f"Deleted {deleted_count} rows for feature view {table.name}")
+
     @log_exceptions_and_usage(online_store="redis")
     def update(
         self,
@@ -117,16 +150,19 @@ def update(
         partial: bool,
     ):
         """
-        Look for join_keys (list of entities) that are not in use anymore
-        (usually this happens when the last feature view that was using specific compound key is deleted)
-        and remove all features attached to this "join_keys".
+        Delete data from feature views that are no longer in use.
+
+        Args:
+            config: Feast config
+            tables_to_delete: Feature views to delete
+            tables_to_keep: Feature views to keep
+            entities_to_delete: Entities to delete
+            entities_to_keep: Entities to keep
+            partial: Whether to do a partial update
         """
-        join_keys_to_keep = set(tuple(table.join_keys) for table in tables_to_keep)
 
-        join_keys_to_delete = set(tuple(table.join_keys) for table in tables_to_delete)
-
-        for join_keys in join_keys_to_delete - join_keys_to_keep:
-            self.delete_entity_values(config, list(join_keys))
+        for table in tables_to_delete:
+            self.delete_table(config, table)
 
     def teardown(
         self,
diff --git a/sdk/python/feast/infra/online_stores/snowflake.py b/sdk/python/feast/infra/online_stores/snowflake.py
index c1a03a2862..f5600249c9 100644
--- a/sdk/python/feast/infra/online_stores/snowflake.py
+++ b/sdk/python/feast/infra/online_stores/snowflake.py
@@ -2,11 +2,10 @@
 import os
 from binascii import hexlify
 from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple
 
 import pandas as pd
-from pydantic import Field, StrictStr
-from pydantic.schema import Literal
+from pydantic import ConfigDict, Field, StrictStr
 
 from feast.entity import Entity
 from feast.feature_view import FeatureView
@@ -57,9 +56,7 @@ class SnowflakeOnlineStoreConfig(FeastConfigBaseModel):
 
     schema_: Optional[str] = Field("PUBLIC", alias="schema")
     """ Snowflake schema name """
-
-    class Config:
-        allow_population_by_field_name = True
+    model_config = ConfigDict(populate_by_name=True)
 
 
 class SnowflakeOnlineStore(OnlineStore):
diff --git a/sdk/python/feast/infra/online_stores/sqlite.py b/sdk/python/feast/infra/online_stores/sqlite.py
index 6949b2bf24..745a9ed5a5 100644
--- a/sdk/python/feast/infra/online_stores/sqlite.py
+++ b/sdk/python/feast/infra/online_stores/sqlite.py
@@ -16,10 +16,9 @@
 import sqlite3
 from datetime import datetime
 from pathlib import Path
-from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple
 
 from pydantic import StrictStr
-from pydantic.schema import Literal
 
 from feast import Entity
 from feast.feature_view import FeatureView
@@ -39,9 +38,9 @@
 class SqliteOnlineStoreConfig(FeastConfigBaseModel):
     """Online store config for local (SQLite-based) store"""
 
-    type: Literal[
-        "sqlite", "feast.infra.online_stores.sqlite.SqliteOnlineStore"
-    ] = "sqlite"
+    type: Literal["sqlite", "feast.infra.online_stores.sqlite.SqliteOnlineStore"] = (
+        "sqlite"
+    )
     """ Online store type selector"""
 
     path: StrictStr = "data/online.db"
@@ -87,7 +86,6 @@ def online_write_batch(
         ],
         progress: Optional[Callable[[int], Any]],
     ) -> None:
-
         conn = self._get_conn(config)
 
         project = config.project
diff --git a/sdk/python/feast/infra/passthrough_provider.py b/sdk/python/feast/infra/passthrough_provider.py
index 28b10c1259..ec4df66d43 100644
--- a/sdk/python/feast/infra/passthrough_provider.py
+++ b/sdk/python/feast/infra/passthrough_provider.py
@@ -70,7 +70,7 @@ def batch_engine(self) -> BatchMaterializationEngine:
         if self._batch_engine:
             return self._batch_engine
         else:
-            engine_config = self.repo_config._batch_engine_config
+            engine_config = self.repo_config.batch_engine_config
             config_is_dict = False
             if isinstance(engine_config, str):
                 engine_config_type = engine_config
@@ -180,7 +180,7 @@ def online_read(
         config: RepoConfig,
         table: FeatureView,
         entity_keys: List[EntityKeyProto],
-        requested_features: List[str] = None,
+        requested_features: Optional[List[str]] = None,
     ) -> List:
         set_usage_attribute("provider", self.__class__.__name__)
         result = []
@@ -190,6 +190,23 @@ def online_read(
             )
         return result
 
+    @log_exceptions_and_usage(sampler=RatioSampler(ratio=0.001))
+    def retrieve_online_documents(
+        self,
+        config: RepoConfig,
+        table: FeatureView,
+        requested_feature: str,
+        query: List[float],
+        top_k: int,
+    ) -> List:
+        set_usage_attribute("provider", self.__class__.__name__)
+        result = []
+        if self.online_store:
+            result = self.online_store.retrieve_online_documents(
+                config, table, requested_feature, query, top_k
+            )
+        return result
+
     def ingest_df(
         self,
         feature_view: FeatureView,
diff --git a/sdk/python/feast/infra/provider.py b/sdk/python/feast/infra/provider.py
index 82879b264a..e71e87488d 100644
--- a/sdk/python/feast/infra/provider.py
+++ b/sdk/python/feast/infra/provider.py
@@ -211,7 +211,7 @@ def online_read(
         config: RepoConfig,
         table: FeatureView,
         entity_keys: List[EntityKeyProto],
-        requested_features: List[str] = None,
+        requested_features: Optional[List[str]] = None,
     ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]:
         """
         Reads features values for the given entity keys.
@@ -295,6 +295,30 @@ def get_feature_server_endpoint(self) -> Optional[str]:
         """Returns endpoint for the feature server, if it exists."""
         return None
 
+    @abstractmethod
+    def retrieve_online_documents(
+        self,
+        config: RepoConfig,
+        table: FeatureView,
+        requested_feature: str,
+        query: List[float],
+        top_k: int,
+    ) -> List[Tuple[Optional[datetime], Optional[ValueProto], Optional[ValueProto]]]:
+        """
+        Searches for the top-k nearest neighbors of the given document in the online document store.
+
+        Args:
+            config: The config for the current feature store.
+            table: The feature view whose embeddings should be searched.
+            requested_feature: the requested document feature name.
+            query: The query embedding to search for.
+            top_k: The number of nearest neighbors to return.
+
+        Returns:
+            A list of dictionaries, where each dictionary contains the document feature.
+        """
+        pass
+
 
 def get_provider(config: RepoConfig) -> Provider:
     if "." not in config.provider:
diff --git a/sdk/python/feast/infra/registry/base_registry.py b/sdk/python/feast/infra/registry/base_registry.py
index 14b098bb12..ed1fc3ab87 100644
--- a/sdk/python/feast/infra/registry/base_registry.py
+++ b/sdk/python/feast/infra/registry/base_registry.py
@@ -12,13 +12,14 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 import json
+import warnings
 from abc import ABC, abstractmethod
 from collections import defaultdict
 from datetime import datetime
 from typing import Any, Dict, List, Optional
 
 from google.protobuf.json_format import MessageToJson
-from proto import Message
+from google.protobuf.message import Message
 
 from feast.base_feature_view import BaseFeatureView
 from feast.data_source import DataSource
@@ -29,9 +30,10 @@
 from feast.on_demand_feature_view import OnDemandFeatureView
 from feast.project_metadata import ProjectMetadata
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
+from feast.transformation.pandas_transformation import PandasTransformation
+from feast.transformation.substrait_transformation import SubstraitTransformation
 
 
 class BaseRegistry(ABC):
@@ -51,6 +53,7 @@ def apply_entity(self, entity: Entity, project: str, commit: bool = True):
             project: Feast project that this entity belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def delete_entity(self, name: str, project: str, commit: bool = True):
@@ -62,6 +65,7 @@ def delete_entity(self, name: str, project: str, commit: bool = True):
             project: Feast project that this entity belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Entity:
@@ -77,6 +81,7 @@ def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Enti
             Returns either the specified entity, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_entities(self, project: str, allow_cache: bool = False) -> List[Entity]:
@@ -90,6 +95,7 @@ def list_entities(self, project: str, allow_cache: bool = False) -> List[Entity]
         Returns:
             List of entities
         """
+        raise NotImplementedError
 
     # Data source operations
     @abstractmethod
@@ -104,6 +110,7 @@ def apply_data_source(
             project: Feast project that this data source belongs to
             commit: Whether to immediately commit to the registry
         """
+        raise NotImplementedError
 
     @abstractmethod
     def delete_data_source(self, name: str, project: str, commit: bool = True):
@@ -115,6 +122,7 @@ def delete_data_source(self, name: str, project: str, commit: bool = True):
             project: Feast project that this data source belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_data_source(
@@ -131,6 +139,7 @@ def get_data_source(
         Returns:
             Returns either the specified data source, or raises an exception if none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_data_sources(
@@ -146,6 +155,7 @@ def list_data_sources(
         Returns:
             List of data sources
         """
+        raise NotImplementedError
 
     # Feature service operations
     @abstractmethod
@@ -159,6 +169,7 @@ def apply_feature_service(
             feature_service: A feature service that will be registered
             project: Feast project that this entity belongs to
         """
+        raise NotImplementedError
 
     @abstractmethod
     def delete_feature_service(self, name: str, project: str, commit: bool = True):
@@ -170,6 +181,7 @@ def delete_feature_service(self, name: str, project: str, commit: bool = True):
             project: Feast project that this feature service belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_feature_service(
@@ -187,6 +199,7 @@ def get_feature_service(
             Returns either the specified feature service, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_feature_services(
@@ -202,6 +215,7 @@ def list_feature_services(
         Returns:
             List of feature services
         """
+        raise NotImplementedError
 
     # Feature view operations
     @abstractmethod
@@ -216,6 +230,7 @@ def apply_feature_view(
             project: Feast project that this feature view belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def delete_feature_view(self, name: str, project: str, commit: bool = True):
@@ -227,12 +242,13 @@ def delete_feature_view(self, name: str, project: str, commit: bool = True):
             project: Feast project that this feature view belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     # stream feature view operations
     @abstractmethod
     def get_stream_feature_view(
         self, name: str, project: str, allow_cache: bool = False
-    ):
+    ) -> StreamFeatureView:
         """
         Retrieves a stream feature view.
 
@@ -245,6 +261,7 @@ def get_stream_feature_view(
             Returns either the specified feature view, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_stream_feature_views(
@@ -260,6 +277,7 @@ def list_stream_feature_views(
         Returns:
             List of stream feature views
         """
+        raise NotImplementedError
 
     # on demand feature view operations
     @abstractmethod
@@ -278,6 +296,7 @@ def get_on_demand_feature_view(
             Returns either the specified on demand feature view, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_on_demand_feature_views(
@@ -293,6 +312,7 @@ def list_on_demand_feature_views(
         Returns:
             List of on demand feature views
         """
+        raise NotImplementedError
 
     # regular feature view operations
     @abstractmethod
@@ -311,6 +331,7 @@ def get_feature_view(
             Returns either the specified feature view, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_feature_views(
@@ -326,37 +347,7 @@ def list_feature_views(
         Returns:
             List of feature views
         """
-
-    # request feature view operations
-    @abstractmethod
-    def get_request_feature_view(self, name: str, project: str) -> RequestFeatureView:
-        """
-        Retrieves a request feature view.
-
-        Args:
-            name: Name of request feature view
-            project: Feast project that this feature view belongs to
-            allow_cache: Allow returning feature view from the cached registry
-
-        Returns:
-            Returns either the specified feature view, or raises an exception if
-            none is found
-        """
-
-    @abstractmethod
-    def list_request_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[RequestFeatureView]:
-        """
-        Retrieve a list of request feature views from the registry
-
-        Args:
-            allow_cache: Allow returning feature views from the cached registry
-            project: Filter feature views based on project name
-
-        Returns:
-            List of request feature views
-        """
+        raise NotImplementedError
 
     @abstractmethod
     def apply_materialization(
@@ -377,6 +368,7 @@ def apply_materialization(
             end_date (datetime): End date of the materialization interval to track
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     # Saved dataset operations
     @abstractmethod
@@ -394,6 +386,7 @@ def apply_saved_dataset(
             project: Feast project that this dataset belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_saved_dataset(
@@ -411,6 +404,7 @@ def get_saved_dataset(
             Returns either the specified SavedDataset, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     def delete_saved_dataset(self, name: str, project: str, allow_cache: bool = False):
         """
@@ -425,6 +419,7 @@ def delete_saved_dataset(self, name: str, project: str, allow_cache: bool = Fals
             Returns either the specified SavedDataset, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     @abstractmethod
     def list_saved_datasets(
@@ -440,6 +435,7 @@ def list_saved_datasets(
         Returns:
             Returns the list of SavedDatasets
         """
+        raise NotImplementedError
 
     # Validation reference operations
     @abstractmethod
@@ -457,6 +453,7 @@ def apply_validation_reference(
             project: Feast project that this dataset belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def delete_validation_reference(self, name: str, project: str, commit: bool = True):
@@ -468,6 +465,7 @@ def delete_validation_reference(self, name: str, project: str, commit: bool = Tr
             project: Feast project that this object belongs to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_validation_reference(
@@ -485,12 +483,12 @@ def get_validation_reference(
             Returns either the specified ValidationReference, or raises an exception if
             none is found
         """
+        raise NotImplementedError
 
     # TODO: Needs to be implemented.
     def list_validation_references(
         self, project: str, allow_cache: bool = False
     ) -> List[ValidationReference]:
-
         """
         Retrieve a list of validation references from the registry
 
@@ -501,7 +499,9 @@ def list_validation_references(
         Returns:
             List of request feature views
         """
+        raise NotImplementedError
 
+    @abstractmethod
     def list_project_metadata(
         self, project: str, allow_cache: bool = False
     ) -> List[ProjectMetadata]:
@@ -515,6 +515,7 @@ def list_project_metadata(
         Returns:
             List of project metadata
         """
+        raise NotImplementedError
 
     @abstractmethod
     def update_infra(self, infra: Infra, project: str, commit: bool = True):
@@ -526,6 +527,7 @@ def update_infra(self, infra: Infra, project: str, commit: bool = True):
             project: Feast project that the Infra object refers to
             commit: Whether the change should be persisted immediately
         """
+        raise NotImplementedError
 
     @abstractmethod
     def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
@@ -539,6 +541,7 @@ def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
         Returns:
             The stored Infra object.
         """
+        raise NotImplementedError
 
     @abstractmethod
     def apply_user_metadata(
@@ -546,14 +549,12 @@ def apply_user_metadata(
         project: str,
         feature_view: BaseFeatureView,
         metadata_bytes: Optional[bytes],
-    ):
-        ...
+    ): ...
 
     @abstractmethod
     def get_user_metadata(
         self, project: str, feature_view: BaseFeatureView
-    ) -> Optional[bytes]:
-        ...
+    ) -> Optional[bytes]: ...
 
     @abstractmethod
     def proto(self) -> RegistryProto:
@@ -563,14 +564,17 @@ def proto(self) -> RegistryProto:
         Returns:
             The registry proto object.
         """
+        raise NotImplementedError
 
     @abstractmethod
     def commit(self):
         """Commits the state of the registry cache to the remote registry store."""
+        raise NotImplementedError
 
     @abstractmethod
     def refresh(self, project: Optional[str] = None):
         """Refreshes the state of the registry cache by fetching the registry state from the remote registry store."""
+        raise NotImplementedError
 
     @staticmethod
     def _message_to_sorted_dict(message: Message) -> Dict[str, Any]:
@@ -622,28 +626,51 @@ def to_dict(self, project: str) -> Dict[str, List[Any]]:
             key=lambda on_demand_feature_view: on_demand_feature_view.name,
         ):
             odfv_dict = self._message_to_sorted_dict(on_demand_feature_view.to_proto())
-
-            odfv_dict["spec"]["userDefinedFunction"][
-                "body"
-            ] = on_demand_feature_view.udf_string
-            registry_dict["onDemandFeatureViews"].append(odfv_dict)
-        for request_feature_view in sorted(
-            self.list_request_feature_views(project=project),
-            key=lambda request_feature_view: request_feature_view.name,
-        ):
-            registry_dict["requestFeatureViews"].append(
-                self._message_to_sorted_dict(request_feature_view.to_proto())
+            # We are logging a warning because the registry object may be read from a proto that is not updated
+            # i.e., we have to submit dual writes but in order to ensure the read behavior succeeds we have to load
+            # both objects to compare any changes in the registry
+            warnings.warn(
+                "We will be deprecating the usage of spec.userDefinedFunction in a future release please upgrade cautiously.",
+                DeprecationWarning,
             )
+            if on_demand_feature_view.feature_transformation:
+                if isinstance(
+                    on_demand_feature_view.feature_transformation, PandasTransformation
+                ):
+                    if "userDefinedFunction" not in odfv_dict["spec"]:
+                        odfv_dict["spec"]["userDefinedFunction"] = {}
+                    odfv_dict["spec"]["userDefinedFunction"]["body"] = (
+                        on_demand_feature_view.feature_transformation.udf_string
+                    )
+                    odfv_dict["spec"]["featureTransformation"]["userDefinedFunction"][
+                        "body"
+                    ] = on_demand_feature_view.feature_transformation.udf_string
+                elif isinstance(
+                    on_demand_feature_view.feature_transformation,
+                    SubstraitTransformation,
+                ):
+                    odfv_dict["spec"]["featureTransformation"]["substraitPlan"][
+                        "body"
+                    ] = on_demand_feature_view.feature_transformation.substrait_plan
+                else:
+                    odfv_dict["spec"]["featureTransformation"]["userDefinedFunction"][
+                        "body"
+                    ] = None
+                    odfv_dict["spec"]["featureTransformation"]["substraitPlan"][
+                        "body"
+                    ] = None
+                registry_dict["onDemandFeatureViews"].append(odfv_dict)
         for stream_feature_view in sorted(
             self.list_stream_feature_views(project=project),
             key=lambda stream_feature_view: stream_feature_view.name,
         ):
             sfv_dict = self._message_to_sorted_dict(stream_feature_view.to_proto())
 
-            sfv_dict["spec"]["userDefinedFunction"][
-                "body"
-            ] = stream_feature_view.udf_string
+            sfv_dict["spec"]["userDefinedFunction"]["body"] = (
+                stream_feature_view.udf_string
+            )
             registry_dict["streamFeatureViews"].append(sfv_dict)
+
         for saved_dataset in sorted(
             self.list_saved_datasets(project=project), key=lambda item: item.name
         ):
diff --git a/sdk/python/feast/infra/registry/caching_registry.py b/sdk/python/feast/infra/registry/caching_registry.py
new file mode 100644
index 0000000000..3101b073d5
--- /dev/null
+++ b/sdk/python/feast/infra/registry/caching_registry.py
@@ -0,0 +1,313 @@
+import logging
+from abc import abstractmethod
+from datetime import datetime, timedelta
+from threading import Lock
+from typing import List, Optional
+
+from feast import usage
+from feast.data_source import DataSource
+from feast.entity import Entity
+from feast.feature_service import FeatureService
+from feast.feature_view import FeatureView
+from feast.infra.infra_object import Infra
+from feast.infra.registry import proto_registry_utils
+from feast.infra.registry.base_registry import BaseRegistry
+from feast.on_demand_feature_view import OnDemandFeatureView
+from feast.project_metadata import ProjectMetadata
+from feast.saved_dataset import SavedDataset, ValidationReference
+from feast.stream_feature_view import StreamFeatureView
+
+logger = logging.getLogger(__name__)
+
+
+class CachingRegistry(BaseRegistry):
+    def __init__(
+        self,
+        project: str,
+        cache_ttl_seconds: int,
+    ):
+        self.cached_registry_proto = self.proto()
+        proto_registry_utils.init_project_metadata(self.cached_registry_proto, project)
+        self.cached_registry_proto_created = datetime.utcnow()
+        self._refresh_lock = Lock()
+        self.cached_registry_proto_ttl = timedelta(
+            seconds=cache_ttl_seconds if cache_ttl_seconds is not None else 0
+        )
+
+    @abstractmethod
+    def _get_data_source(self, name: str, project: str) -> DataSource:
+        pass
+
+    def get_data_source(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> DataSource:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_data_source(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_data_source(name, project)
+
+    @abstractmethod
+    def _list_data_sources(self, project: str) -> List[DataSource]:
+        pass
+
+    def list_data_sources(
+        self, project: str, allow_cache: bool = False
+    ) -> List[DataSource]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_data_sources(
+                self.cached_registry_proto, project
+            )
+        return self._list_data_sources(project)
+
+    @abstractmethod
+    def _get_entity(self, name: str, project: str) -> Entity:
+        pass
+
+    def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Entity:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_entity(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_entity(name, project)
+
+    @abstractmethod
+    def _list_entities(self, project: str) -> List[Entity]:
+        pass
+
+    def list_entities(self, project: str, allow_cache: bool = False) -> List[Entity]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_entities(
+                self.cached_registry_proto, project
+            )
+        return self._list_entities(project)
+
+    @abstractmethod
+    def _get_feature_view(self, name: str, project: str) -> FeatureView:
+        pass
+
+    def get_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> FeatureView:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_feature_view(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_feature_view(name, project)
+
+    @abstractmethod
+    def _list_feature_views(self, project: str) -> List[FeatureView]:
+        pass
+
+    def list_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[FeatureView]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_feature_views(
+                self.cached_registry_proto, project
+            )
+        return self._list_feature_views(project)
+
+    @abstractmethod
+    def _get_on_demand_feature_view(
+        self, name: str, project: str
+    ) -> OnDemandFeatureView:
+        pass
+
+    def get_on_demand_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> OnDemandFeatureView:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_on_demand_feature_view(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_on_demand_feature_view(name, project)
+
+    @abstractmethod
+    def _list_on_demand_feature_views(self, project: str) -> List[OnDemandFeatureView]:
+        pass
+
+    def list_on_demand_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[OnDemandFeatureView]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_on_demand_feature_views(
+                self.cached_registry_proto, project
+            )
+        return self._list_on_demand_feature_views(project)
+
+    @abstractmethod
+    def _get_stream_feature_view(self, name: str, project: str) -> StreamFeatureView:
+        pass
+
+    def get_stream_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> StreamFeatureView:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_stream_feature_view(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_stream_feature_view(name, project)
+
+    @abstractmethod
+    def _list_stream_feature_views(self, project: str) -> List[StreamFeatureView]:
+        pass
+
+    def list_stream_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[StreamFeatureView]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_stream_feature_views(
+                self.cached_registry_proto, project
+            )
+        return self._list_stream_feature_views(project)
+
+    @abstractmethod
+    def _get_feature_service(self, name: str, project: str) -> FeatureService:
+        pass
+
+    def get_feature_service(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> FeatureService:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_feature_service(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_feature_service(name, project)
+
+    @abstractmethod
+    def _list_feature_services(self, project: str) -> List[FeatureService]:
+        pass
+
+    def list_feature_services(
+        self, project: str, allow_cache: bool = False
+    ) -> List[FeatureService]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_feature_services(
+                self.cached_registry_proto, project
+            )
+        return self._list_feature_services(project)
+
+    @abstractmethod
+    def _get_saved_dataset(self, name: str, project: str) -> SavedDataset:
+        pass
+
+    def get_saved_dataset(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> SavedDataset:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_saved_dataset(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_saved_dataset(name, project)
+
+    @abstractmethod
+    def _list_saved_datasets(self, project: str) -> List[SavedDataset]:
+        pass
+
+    def list_saved_datasets(
+        self, project: str, allow_cache: bool = False
+    ) -> List[SavedDataset]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_saved_datasets(
+                self.cached_registry_proto, project
+            )
+        return self._list_saved_datasets(project)
+
+    @abstractmethod
+    def _get_validation_reference(self, name: str, project: str) -> ValidationReference:
+        pass
+
+    def get_validation_reference(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> ValidationReference:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.get_validation_reference(
+                self.cached_registry_proto, name, project
+            )
+        return self._get_validation_reference(name, project)
+
+    @abstractmethod
+    def _list_validation_references(self, project: str) -> List[ValidationReference]:
+        pass
+
+    def list_validation_references(
+        self, project: str, allow_cache: bool = False
+    ) -> List[ValidationReference]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_validation_references(
+                self.cached_registry_proto, project
+            )
+        return self._list_validation_references(project)
+
+    @abstractmethod
+    def _list_project_metadata(self, project: str) -> List[ProjectMetadata]:
+        pass
+
+    def list_project_metadata(
+        self, project: str, allow_cache: bool = False
+    ) -> List[ProjectMetadata]:
+        if allow_cache:
+            self._refresh_cached_registry_if_necessary()
+            return proto_registry_utils.list_project_metadata(
+                self.cached_registry_proto, project
+            )
+        return self._list_project_metadata(project)
+
+    @abstractmethod
+    def _get_infra(self, project: str) -> Infra:
+        pass
+
+    def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
+        return self._get_infra(project)
+
+    def refresh(self, project: Optional[str] = None):
+        if project:
+            project_metadata = proto_registry_utils.get_project_metadata(
+                registry_proto=self.cached_registry_proto, project=project
+            )
+            if project_metadata:
+                usage.set_current_project_uuid(project_metadata.project_uuid)
+            else:
+                proto_registry_utils.init_project_metadata(
+                    self.cached_registry_proto, project
+                )
+        self.cached_registry_proto = self.proto()
+        self.cached_registry_proto_created = datetime.utcnow()
+
+    def _refresh_cached_registry_if_necessary(self):
+        with self._refresh_lock:
+            expired = (
+                self.cached_registry_proto is None
+                or self.cached_registry_proto_created is None
+            ) or (
+                self.cached_registry_proto_ttl.total_seconds()
+                > 0  # 0 ttl means infinity
+                and (
+                    datetime.utcnow()
+                    > (
+                        self.cached_registry_proto_created
+                        + self.cached_registry_proto_ttl
+                    )
+                )
+            )
+
+            if expired:
+                logger.info("Registry cache expired, so refreshing")
+                self.refresh()
diff --git a/sdk/python/feast/infra/registry/contrib/__init__.py b/sdk/python/feast/infra/registry/contrib/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/registry/contrib/postgres/__init__.py b/sdk/python/feast/infra/registry/contrib/postgres/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/registry/contrib/postgres/postgres_registry_store.py b/sdk/python/feast/infra/registry/contrib/postgres/postgres_registry_store.py
index 362ec9f485..877e0a018a 100644
--- a/sdk/python/feast/infra/registry/contrib/postgres/postgres_registry_store.py
+++ b/sdk/python/feast/infra/registry/contrib/postgres/postgres_registry_store.py
@@ -1,3 +1,4 @@
+import warnings
 from typing import Optional
 
 import psycopg2
@@ -37,6 +38,11 @@ def __init__(self, config: PostgresRegistryConfig, registry_path: str):
             sslcert_path=getattr(config, "sslcert_path", None),
             sslrootcert_path=getattr(config, "sslrootcert_path", None),
         )
+        warnings.warn(
+            "PostgreSQLRegistryStore is deprecated and will be removed in the future releases. Please use SqlRegistry instead.",
+            DeprecationWarning,
+        )
+
         self.table_name = config.path
         self.cache_ttl_seconds = config.cache_ttl_seconds
 
diff --git a/sdk/python/feast/infra/registry/proto_registry_utils.py b/sdk/python/feast/infra/registry/proto_registry_utils.py
index e93f513b69..4d2e16cb02 100644
--- a/sdk/python/feast/infra/registry/proto_registry_utils.py
+++ b/sdk/python/feast/infra/registry/proto_registry_utils.py
@@ -19,7 +19,6 @@
 from feast.project_metadata import ProjectMetadata
 from feast.protos.feast.core.Registry_pb2 import ProjectMetadata as ProjectMetadataProto
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
 
@@ -99,16 +98,6 @@ def get_stream_feature_view(
     raise FeatureViewNotFoundException(name, project)
 
 
-def get_request_feature_view(registry_proto: RegistryProto, name: str, project: str):
-    for feature_view_proto in registry_proto.feature_views:
-        if (
-            feature_view_proto.spec.name == name
-            and feature_view_proto.spec.project == project
-        ):
-            return RequestFeatureView.from_proto(feature_view_proto)
-    raise FeatureViewNotFoundException(name, project)
-
-
 def get_on_demand_feature_view(
     registry_proto: RegistryProto, name: str, project: str
 ) -> OnDemandFeatureView:
@@ -180,19 +169,6 @@ def list_feature_views(
     return feature_views
 
 
-@registry_proto_cache
-def list_request_feature_views(
-    registry_proto: RegistryProto, project: str
-) -> List[RequestFeatureView]:
-    feature_views: List[RequestFeatureView] = []
-    for request_feature_view_proto in registry_proto.request_feature_views:
-        if request_feature_view_proto.spec.project == project:
-            feature_views.append(
-                RequestFeatureView.from_proto(request_feature_view_proto)
-            )
-    return feature_views
-
-
 @registry_proto_cache
 def list_stream_feature_views(
     registry_proto: RegistryProto, project: str
diff --git a/sdk/python/feast/infra/registry/registry.py b/sdk/python/feast/infra/registry/registry.py
index 1a72cbb4a5..d949b6079d 100644
--- a/sdk/python/feast/infra/registry/registry.py
+++ b/sdk/python/feast/infra/registry/registry.py
@@ -20,7 +20,7 @@
 from urllib.parse import urlparse
 
 from google.protobuf.internal.containers import RepeatedCompositeFieldContainer
-from proto import Message
+from google.protobuf.message import Message
 
 from feast import usage
 from feast.base_feature_view import BaseFeatureView
@@ -46,7 +46,6 @@
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
 from feast.repo_config import RegistryConfig
 from feast.repo_contents import RepoContents
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
 
@@ -73,7 +72,6 @@ class FeastObjectType(Enum):
     ENTITY = "entity"
     FEATURE_VIEW = "feature view"
     ON_DEMAND_FEATURE_VIEW = "on demand feature view"
-    REQUEST_FEATURE_VIEW = "request feature view"
     STREAM_FEATURE_VIEW = "stream feature view"
     FEATURE_SERVICE = "feature service"
 
@@ -88,9 +86,6 @@ def get_objects_from_registry(
             FeastObjectType.ON_DEMAND_FEATURE_VIEW: registry.list_on_demand_feature_views(
                 project=project
             ),
-            FeastObjectType.REQUEST_FEATURE_VIEW: registry.list_request_feature_views(
-                project=project
-            ),
             FeastObjectType.STREAM_FEATURE_VIEW: registry.list_stream_feature_views(
                 project=project,
             ),
@@ -108,7 +103,6 @@ def get_objects_from_repo_contents(
             FeastObjectType.ENTITY: repo_contents.entities,
             FeastObjectType.FEATURE_VIEW: repo_contents.feature_views,
             FeastObjectType.ON_DEMAND_FEATURE_VIEW: repo_contents.on_demand_feature_views,
-            FeastObjectType.REQUEST_FEATURE_VIEW: repo_contents.request_feature_views,
             FeastObjectType.STREAM_FEATURE_VIEW: repo_contents.stream_feature_views,
             FeastObjectType.FEATURE_SERVICE: repo_contents.feature_services,
         }
@@ -178,6 +172,10 @@ def __new__(
             from feast.infra.registry.snowflake import SnowflakeRegistry
 
             return SnowflakeRegistry(registry_config, project, repo_path)
+        elif registry_config and registry_config.registry_type == "remote":
+            from feast.infra.registry.remote import RemoteRegistry
+
+            return RemoteRegistry(registry_config, project, repo_path)
         else:
             return super(Registry, cls).__new__(cls)
 
@@ -398,10 +396,6 @@ def apply_feature_view(
             existing_feature_views_of_same_type = (
                 self.cached_registry_proto.on_demand_feature_views
             )
-        elif isinstance(feature_view, RequestFeatureView):
-            existing_feature_views_of_same_type = (
-                self.cached_registry_proto.request_feature_views
-            )
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
 
@@ -528,20 +522,6 @@ def list_feature_views(
         )
         return proto_registry_utils.list_feature_views(registry_proto, project)
 
-    def get_request_feature_view(self, name: str, project: str):
-        registry_proto = self._get_registry_proto(project=project, allow_cache=False)
-        return proto_registry_utils.get_request_feature_view(
-            registry_proto, name, project
-        )
-
-    def list_request_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[RequestFeatureView]:
-        registry_proto = self._get_registry_proto(
-            project=project, allow_cache=allow_cache
-        )
-        return proto_registry_utils.list_request_feature_views(registry_proto, project)
-
     def get_feature_view(
         self, name: str, project: str, allow_cache: bool = False
     ) -> FeatureView:
@@ -593,18 +573,6 @@ def delete_feature_view(self, name: str, project: str, commit: bool = True):
                     self.commit()
                 return
 
-        for idx, existing_request_feature_view_proto in enumerate(
-            self.cached_registry_proto.request_feature_views
-        ):
-            if (
-                existing_request_feature_view_proto.spec.name == name
-                and existing_request_feature_view_proto.spec.project == project
-            ):
-                del self.cached_registry_proto.request_feature_views[idx]
-                if commit:
-                    self.commit()
-                return
-
         for idx, existing_on_demand_feature_view_proto in enumerate(
             self.cached_registry_proto.on_demand_feature_views
         ):
@@ -882,10 +850,7 @@ def _existing_feature_view_names_to_fvs(self) -> Dict[str, Message]:
             for fv in self.cached_registry_proto.on_demand_feature_views
         }
         fvs = {fv.spec.name: fv for fv in self.cached_registry_proto.feature_views}
-        request_fvs = {
-            fv.spec.name: fv for fv in self.cached_registry_proto.request_feature_views
-        }
         sfv = {
             fv.spec.name: fv for fv in self.cached_registry_proto.stream_feature_views
         }
-        return {**odfvs, **fvs, **request_fvs, **sfv}
+        return {**odfvs, **fvs, **sfv}
diff --git a/sdk/python/feast/infra/registry/registry_store.py b/sdk/python/feast/infra/registry/registry_store.py
index c42a55cd9d..5151fd74b2 100644
--- a/sdk/python/feast/infra/registry/registry_store.py
+++ b/sdk/python/feast/infra/registry/registry_store.py
@@ -17,7 +17,7 @@ def get_registry_proto(self) -> RegistryProto:
         Returns:
             Returns either the registry proto stored at the registry path, or an empty registry proto.
         """
-        pass
+        raise NotImplementedError
 
     @abstractmethod
     def update_registry_proto(self, registry_proto: RegistryProto):
@@ -40,7 +40,7 @@ def teardown(self):
 
 class NoopRegistryStore(RegistryStore):
     def get_registry_proto(self) -> RegistryProto:
-        pass
+        return RegistryProto()
 
     def update_registry_proto(self, registry_proto: RegistryProto):
         pass
diff --git a/sdk/python/feast/infra/registry/remote.py b/sdk/python/feast/infra/registry/remote.py
new file mode 100644
index 0000000000..f93e1ab1c0
--- /dev/null
+++ b/sdk/python/feast/infra/registry/remote.py
@@ -0,0 +1,344 @@
+from datetime import datetime
+from pathlib import Path
+from typing import List, Optional, Union
+
+import grpc
+from google.protobuf.empty_pb2 import Empty
+from pydantic import StrictStr
+
+from feast.base_feature_view import BaseFeatureView
+from feast.data_source import DataSource
+from feast.entity import Entity
+from feast.errors import ReadOnlyRegistryException
+from feast.feature_service import FeatureService
+from feast.feature_view import FeatureView
+from feast.infra.infra_object import Infra
+from feast.infra.registry.base_registry import BaseRegistry
+from feast.on_demand_feature_view import OnDemandFeatureView
+from feast.project_metadata import ProjectMetadata
+from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
+from feast.protos.feast.registry import RegistryServer_pb2, RegistryServer_pb2_grpc
+from feast.repo_config import RegistryConfig
+from feast.saved_dataset import SavedDataset, ValidationReference
+from feast.stream_feature_view import StreamFeatureView
+
+
+class RemoteRegistryConfig(RegistryConfig):
+    registry_type: StrictStr = "remote"
+    """ str: Provider name or a class name that implements Registry."""
+
+    path: StrictStr = ""
+    """ str: Path to metadata store.
+    If registry_type is 'remote', then this is a URL for registry server """
+
+
+class RemoteRegistry(BaseRegistry):
+    def __init__(
+        self,
+        registry_config: Union[RegistryConfig, RemoteRegistryConfig],
+        project: str,
+        repo_path: Optional[Path],
+    ):
+        self.channel = grpc.insecure_channel(registry_config.path)
+        self.stub = RegistryServer_pb2_grpc.RegistryServerStub(self.channel)
+
+    def apply_entity(self, entity: Entity, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def delete_entity(self, name: str, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Entity:
+        request = RegistryServer_pb2.GetEntityRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetEntity(request)
+
+        return Entity.from_proto(response)
+
+    def list_entities(self, project: str, allow_cache: bool = False) -> List[Entity]:
+        request = RegistryServer_pb2.ListEntitiesRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListEntities(request)
+
+        return [Entity.from_proto(entity) for entity in response.entities]
+
+    def apply_data_source(
+        self, data_source: DataSource, project: str, commit: bool = True
+    ):
+        raise ReadOnlyRegistryException()
+
+    def delete_data_source(self, name: str, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_data_source(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> DataSource:
+        request = RegistryServer_pb2.GetDataSourceRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetDataSource(request)
+
+        return DataSource.from_proto(response)
+
+    def list_data_sources(
+        self, project: str, allow_cache: bool = False
+    ) -> List[DataSource]:
+        request = RegistryServer_pb2.ListDataSourcesRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListDataSources(request)
+
+        return [
+            DataSource.from_proto(data_source) for data_source in response.data_sources
+        ]
+
+    def apply_feature_service(
+        self, feature_service: FeatureService, project: str, commit: bool = True
+    ):
+        raise ReadOnlyRegistryException()
+
+    def delete_feature_service(self, name: str, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_feature_service(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> FeatureService:
+        request = RegistryServer_pb2.GetFeatureServiceRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetFeatureService(request)
+
+        return FeatureService.from_proto(response)
+
+    def list_feature_services(
+        self, project: str, allow_cache: bool = False
+    ) -> List[FeatureService]:
+        request = RegistryServer_pb2.ListFeatureServicesRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListFeatureServices(request)
+
+        return [
+            FeatureService.from_proto(feature_service)
+            for feature_service in response.feature_services
+        ]
+
+    def apply_feature_view(
+        self, feature_view: BaseFeatureView, project: str, commit: bool = True
+    ):
+        raise ReadOnlyRegistryException()
+
+    def delete_feature_view(self, name: str, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_stream_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> StreamFeatureView:
+        request = RegistryServer_pb2.GetStreamFeatureViewRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetStreamFeatureView(request)
+
+        return StreamFeatureView.from_proto(response)
+
+    def list_stream_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[StreamFeatureView]:
+        request = RegistryServer_pb2.ListStreamFeatureViewsRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListStreamFeatureViews(request)
+
+        return [
+            StreamFeatureView.from_proto(stream_feature_view)
+            for stream_feature_view in response.stream_feature_views
+        ]
+
+    def get_on_demand_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> OnDemandFeatureView:
+        request = RegistryServer_pb2.GetOnDemandFeatureViewRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetOnDemandFeatureView(request)
+
+        return OnDemandFeatureView.from_proto(response)
+
+    def list_on_demand_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[OnDemandFeatureView]:
+        request = RegistryServer_pb2.ListOnDemandFeatureViewsRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListOnDemandFeatureViews(request)
+
+        return [
+            OnDemandFeatureView.from_proto(on_demand_feature_view)
+            for on_demand_feature_view in response.on_demand_feature_views
+        ]
+
+    def get_feature_view(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> FeatureView:
+        request = RegistryServer_pb2.GetFeatureViewRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetFeatureView(request)
+
+        return FeatureView.from_proto(response)
+
+    def list_feature_views(
+        self, project: str, allow_cache: bool = False
+    ) -> List[FeatureView]:
+        request = RegistryServer_pb2.ListFeatureViewsRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListFeatureViews(request)
+
+        return [
+            FeatureView.from_proto(feature_view)
+            for feature_view in response.feature_views
+        ]
+
+    def apply_materialization(
+        self,
+        feature_view: FeatureView,
+        project: str,
+        start_date: datetime,
+        end_date: datetime,
+        commit: bool = True,
+    ):
+        raise ReadOnlyRegistryException()
+
+    def apply_saved_dataset(
+        self,
+        saved_dataset: SavedDataset,
+        project: str,
+        commit: bool = True,
+    ):
+        raise ReadOnlyRegistryException()
+
+    def delete_saved_dataset(self, name: str, project: str, allow_cache: bool = False):
+        raise ReadOnlyRegistryException()
+
+    def get_saved_dataset(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> SavedDataset:
+        request = RegistryServer_pb2.GetSavedDatasetRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetSavedDataset(request)
+
+        return SavedDataset.from_proto(response)
+
+    def list_saved_datasets(
+        self, project: str, allow_cache: bool = False
+    ) -> List[SavedDataset]:
+        request = RegistryServer_pb2.ListSavedDatasetsRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListSavedDatasets(request)
+
+        return [
+            SavedDataset.from_proto(saved_dataset)
+            for saved_dataset in response.saved_datasets
+        ]
+
+    def apply_validation_reference(
+        self,
+        validation_reference: ValidationReference,
+        project: str,
+        commit: bool = True,
+    ):
+        raise ReadOnlyRegistryException()
+
+    def delete_validation_reference(self, name: str, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_validation_reference(
+        self, name: str, project: str, allow_cache: bool = False
+    ) -> ValidationReference:
+        request = RegistryServer_pb2.GetValidationReferenceRequest(
+            name=name, project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetValidationReference(request)
+
+        return ValidationReference.from_proto(response)
+
+    def list_validation_references(
+        self, project: str, allow_cache: bool = False
+    ) -> List[ValidationReference]:
+        request = RegistryServer_pb2.ListValidationReferencesRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListValidationReferences(request)
+
+        return [
+            ValidationReference.from_proto(validation_reference)
+            for validation_reference in response.validation_references
+        ]
+
+    def list_project_metadata(
+        self, project: str, allow_cache: bool = False
+    ) -> List[ProjectMetadata]:
+        request = RegistryServer_pb2.ListProjectMetadataRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.ListProjectMetadata(request)
+
+        return [ProjectMetadata.from_proto(pm) for pm in response.project_metadata]
+
+    def update_infra(self, infra: Infra, project: str, commit: bool = True):
+        raise ReadOnlyRegistryException()
+
+    def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
+        request = RegistryServer_pb2.GetInfraRequest(
+            project=project, allow_cache=allow_cache
+        )
+
+        response = self.stub.GetInfra(request)
+
+        return Infra.from_proto(response)
+
+    def apply_user_metadata(
+        self,
+        project: str,
+        feature_view: BaseFeatureView,
+        metadata_bytes: Optional[bytes],
+    ):
+        pass
+
+    def get_user_metadata(
+        self, project: str, feature_view: BaseFeatureView
+    ) -> Optional[bytes]:
+        pass
+
+    def proto(self) -> RegistryProto:
+        return self.stub.Proto(Empty())
+
+    def commit(self):
+        raise ReadOnlyRegistryException()
+
+    def refresh(self, project: Optional[str] = None):
+        request = RegistryServer_pb2.RefreshRequest(project=str(project))
+
+        self.stub.Refresh(request)
diff --git a/sdk/python/feast/infra/registry/snowflake.py b/sdk/python/feast/infra/registry/snowflake.py
index 56c7bc1f65..326d2e0226 100644
--- a/sdk/python/feast/infra/registry/snowflake.py
+++ b/sdk/python/feast/infra/registry/snowflake.py
@@ -5,10 +5,9 @@
 from datetime import datetime, timedelta
 from enum import Enum
 from threading import Lock
-from typing import Any, Callable, List, Optional, Set, Union
+from typing import Any, Callable, List, Literal, Optional, Set, Union
 
-from pydantic import Field, StrictStr
-from pydantic.schema import Literal
+from pydantic import ConfigDict, Field, StrictStr
 
 import feast
 from feast import usage
@@ -45,9 +44,6 @@
     OnDemandFeatureView as OnDemandFeatureViewProto,
 )
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
-from feast.protos.feast.core.RequestFeatureView_pb2 import (
-    RequestFeatureView as RequestFeatureViewProto,
-)
 from feast.protos.feast.core.SavedDataset_pb2 import SavedDataset as SavedDatasetProto
 from feast.protos.feast.core.StreamFeatureView_pb2 import (
     StreamFeatureView as StreamFeatureViewProto,
@@ -56,7 +52,6 @@
     ValidationReference as ValidationReferenceProto,
 )
 from feast.repo_config import RegistryConfig
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
 
@@ -103,9 +98,7 @@ class SnowflakeRegistryConfig(RegistryConfig):
 
     schema_: Optional[str] = Field("PUBLIC", alias="schema")
     """ Snowflake schema name """
-
-    class Config:
-        allow_population_by_field_name = True
+    model_config = ConfigDict(populate_by_name=True)
 
 
 class SnowflakeRegistry(BaseRegistry):
@@ -373,7 +366,6 @@ def delete_feature_view(self, name: str, project: str, commit: bool = True):
         deleted_count = 0
         for table in {
             "FEATURE_VIEWS",
-            "REQUEST_FEATURE_VIEWS",
             "ON_DEMAND_FEATURE_VIEWS",
             "STREAM_FEATURE_VIEWS",
         }:
@@ -418,7 +410,7 @@ def _delete_object(
             """
             cursor = execute_snowflake_statement(conn, query)
 
-            if cursor.rowcount < 1 and not_found_exception:
+            if cursor.rowcount < 1 and not_found_exception:  # type: ignore
                 raise not_found_exception(name, project)
             self._set_last_updated_metadata(datetime.utcnow(), project)
 
@@ -532,25 +524,6 @@ def get_on_demand_feature_view(
             FeatureViewNotFoundException,
         )
 
-    def get_request_feature_view(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> RequestFeatureView:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_request_feature_view(
-                self.cached_registry_proto, name, project
-            )
-        return self._get_object(
-            "REQUEST_FEATURE_VIEWS",
-            name,
-            project,
-            RequestFeatureViewProto,
-            RequestFeatureView,
-            "REQUEST_FEATURE_VIEW_NAME",
-            "REQUEST_FEATURE_VIEW_PROTO",
-            FeatureViewNotFoundException,
-        )
-
     def get_saved_dataset(
         self, name: str, project: str, allow_cache: bool = False
     ) -> SavedDataset:
@@ -712,22 +685,6 @@ def list_on_demand_feature_views(
             "ON_DEMAND_FEATURE_VIEW_PROTO",
         )
 
-    def list_request_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[RequestFeatureView]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_request_feature_views(
-                self.cached_registry_proto, project
-            )
-        return self._list_objects(
-            "REQUEST_FEATURE_VIEWS",
-            project,
-            RequestFeatureViewProto,
-            RequestFeatureView,
-            "REQUEST_FEATURE_VIEW_PROTO",
-        )
-
     def list_saved_datasets(
         self, project: str, allow_cache: bool = False
     ) -> List[SavedDataset]:
@@ -812,7 +769,7 @@ def apply_materialization(
         fv_column_name = fv_table_str[:-1]
         python_class, proto_class = self._infer_fv_classes(feature_view)
 
-        if python_class in {RequestFeatureView, OnDemandFeatureView}:
+        if python_class in {OnDemandFeatureView}:
             raise ValueError(
                 f"Cannot apply materialization for feature {feature_view.name} of type {python_class}"
             )
@@ -936,7 +893,6 @@ def proto(self) -> RegistryProto:
                 (self.list_feature_views, r.feature_views),
                 (self.list_data_sources, r.data_sources),
                 (self.list_on_demand_feature_views, r.on_demand_feature_views),
-                (self.list_request_feature_views, r.request_feature_views),
                 (self.list_stream_feature_views, r.stream_feature_views),
                 (self.list_feature_services, r.feature_services),
                 (self.list_saved_datasets, r.saved_datasets),
@@ -971,7 +927,6 @@ def _get_all_projects(self) -> Set[str]:
             "ENTITIES",
             "FEATURE_VIEWS",
             "ON_DEMAND_FEATURE_VIEWS",
-            "REQUEST_FEATURE_VIEWS",
             "STREAM_FEATURE_VIEWS",
         ]
 
@@ -1013,8 +968,6 @@ def _infer_fv_classes(self, feature_view):
             python_class, proto_class = FeatureView, FeatureViewProto
         elif isinstance(feature_view, OnDemandFeatureView):
             python_class, proto_class = OnDemandFeatureView, OnDemandFeatureViewProto
-        elif isinstance(feature_view, RequestFeatureView):
-            python_class, proto_class = RequestFeatureView, RequestFeatureViewProto
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
         return python_class, proto_class
@@ -1026,8 +979,6 @@ def _infer_fv_table(self, feature_view) -> str:
             table = "FEATURE_VIEWS"
         elif isinstance(feature_view, OnDemandFeatureView):
             table = "ON_DEMAND_FEATURE_VIEWS"
-        elif isinstance(feature_view, RequestFeatureView):
-            table = "REQUEST_FEATURE_VIEWS"
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
         return table
diff --git a/sdk/python/feast/infra/registry/sql.py b/sdk/python/feast/infra/registry/sql.py
index d57bcc7c0a..98b23e1943 100644
--- a/sdk/python/feast/infra/registry/sql.py
+++ b/sdk/python/feast/infra/registry/sql.py
@@ -1,10 +1,9 @@
 import logging
 import uuid
-from datetime import datetime, timedelta
+from datetime import datetime
 from enum import Enum
 from pathlib import Path
-from threading import Lock
-from typing import Any, Callable, List, Optional, Set, Union
+from typing import Any, Callable, Dict, List, Optional, Set, Union
 
 from pydantic import StrictStr
 from sqlalchemy import (  # type: ignore
@@ -37,8 +36,7 @@
 from feast.feature_service import FeatureService
 from feast.feature_view import FeatureView
 from feast.infra.infra_object import Infra
-from feast.infra.registry import proto_registry_utils
-from feast.infra.registry.base_registry import BaseRegistry
+from feast.infra.registry.caching_registry import CachingRegistry
 from feast.on_demand_feature_view import OnDemandFeatureView
 from feast.project_metadata import ProjectMetadata
 from feast.protos.feast.core.DataSource_pb2 import DataSource as DataSourceProto
@@ -52,9 +50,6 @@
     OnDemandFeatureView as OnDemandFeatureViewProto,
 )
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
-from feast.protos.feast.core.RequestFeatureView_pb2 import (
-    RequestFeatureView as RequestFeatureViewProto,
-)
 from feast.protos.feast.core.SavedDataset_pb2 import SavedDataset as SavedDatasetProto
 from feast.protos.feast.core.StreamFeatureView_pb2 import (
     StreamFeatureView as StreamFeatureViewProto,
@@ -63,7 +58,6 @@
     ValidationReference as ValidationReferenceProto,
 )
 from feast.repo_config import RegistryConfig
-from feast.request_feature_view import RequestFeatureView
 from feast.saved_dataset import SavedDataset, ValidationReference
 from feast.stream_feature_view import StreamFeatureView
 
@@ -98,16 +92,6 @@
     Column("user_metadata", LargeBinary, nullable=True),
 )
 
-request_feature_views = Table(
-    "request_feature_views",
-    metadata,
-    Column("feature_view_name", String(50), primary_key=True),
-    Column("project_id", String(50), primary_key=True),
-    Column("last_updated_timestamp", BigInteger, nullable=False),
-    Column("feature_view_proto", LargeBinary, nullable=False),
-    Column("user_metadata", LargeBinary, nullable=True),
-)
-
 stream_feature_views = Table(
     "stream_feature_views",
     metadata,
@@ -190,8 +174,11 @@ class SqlRegistryConfig(RegistryConfig):
     """ str: Path to metadata store.
     If registry_type is 'sql', then this is a database URL as expected by SQLAlchemy """
 
+    sqlalchemy_config_kwargs: Dict[str, Any] = {"echo": False}
+    """ Dict[str, Any]: Extra arguments to pass to SQLAlchemy.create_engine. """
+
 
-class SqlRegistry(BaseRegistry):
+class SqlRegistry(CachingRegistry):
     def __init__(
         self,
         registry_config: Optional[Union[RegistryConfig, SqlRegistryConfig]],
@@ -199,18 +186,14 @@ def __init__(
         repo_path: Optional[Path],
     ):
         assert registry_config is not None, "SqlRegistry needs a valid registry_config"
-        self.engine: Engine = create_engine(registry_config.path, echo=False)
+
+        self.engine: Engine = create_engine(
+            registry_config.path, **registry_config.sqlalchemy_config_kwargs
+        )
         metadata.create_all(self.engine)
-        self.cached_registry_proto = self.proto()
-        proto_registry_utils.init_project_metadata(self.cached_registry_proto, project)
-        self.cached_registry_proto_created = datetime.utcnow()
-        self._refresh_lock = Lock()
-        self.cached_registry_proto_ttl = timedelta(
-            seconds=registry_config.cache_ttl_seconds
-            if registry_config.cache_ttl_seconds is not None
-            else 0
+        super().__init__(
+            project=project, cache_ttl_seconds=registry_config.cache_ttl_seconds
         )
-        self.project = project
 
     def teardown(self):
         for t in {
@@ -219,57 +202,14 @@ def teardown(self):
             feature_views,
             feature_services,
             on_demand_feature_views,
-            request_feature_views,
             saved_datasets,
             validation_references,
         }:
-            with self.engine.connect() as conn:
+            with self.engine.begin() as conn:
                 stmt = delete(t)
                 conn.execute(stmt)
 
-    def refresh(self, project: Optional[str] = None):
-        if project:
-            project_metadata = proto_registry_utils.get_project_metadata(
-                registry_proto=self.cached_registry_proto, project=project
-            )
-            if project_metadata:
-                usage.set_current_project_uuid(project_metadata.project_uuid)
-            else:
-                proto_registry_utils.init_project_metadata(
-                    self.cached_registry_proto, project
-                )
-        self.cached_registry_proto = self.proto()
-        self.cached_registry_proto_created = datetime.utcnow()
-
-    def _refresh_cached_registry_if_necessary(self):
-        with self._refresh_lock:
-            expired = (
-                self.cached_registry_proto is None
-                or self.cached_registry_proto_created is None
-            ) or (
-                self.cached_registry_proto_ttl.total_seconds()
-                > 0  # 0 ttl means infinity
-                and (
-                    datetime.utcnow()
-                    > (
-                        self.cached_registry_proto_created
-                        + self.cached_registry_proto_ttl
-                    )
-                )
-            )
-
-            if expired:
-                logger.info("Registry cache expired, so refreshing")
-                self.refresh()
-
-    def get_stream_feature_view(
-        self, name: str, project: str, allow_cache: bool = False
-    ):
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_stream_feature_view(
-                self.cached_registry_proto, name, project
-            )
+    def _get_stream_feature_view(self, name: str, project: str):
         return self._get_object(
             table=stream_feature_views,
             name=name,
@@ -281,14 +221,7 @@ def get_stream_feature_view(
             not_found_exception=FeatureViewNotFoundException,
         )
 
-    def list_stream_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[StreamFeatureView]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_stream_feature_views(
-                self.cached_registry_proto, project
-            )
+    def _list_stream_feature_views(self, project: str) -> List[StreamFeatureView]:
         return self._list_objects(
             stream_feature_views,
             project,
@@ -306,12 +239,7 @@ def apply_entity(self, entity: Entity, project: str, commit: bool = True):
             proto_field_name="entity_proto",
         )
 
-    def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Entity:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_entity(
-                self.cached_registry_proto, name, project
-            )
+    def _get_entity(self, name: str, project: str) -> Entity:
         return self._get_object(
             table=entities,
             name=name,
@@ -323,14 +251,7 @@ def get_entity(self, name: str, project: str, allow_cache: bool = False) -> Enti
             not_found_exception=EntityNotFoundException,
         )
 
-    def get_feature_view(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> FeatureView:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_feature_view(
-                self.cached_registry_proto, name, project
-            )
+    def _get_feature_view(self, name: str, project: str) -> FeatureView:
         return self._get_object(
             table=feature_views,
             name=name,
@@ -342,14 +263,9 @@ def get_feature_view(
             not_found_exception=FeatureViewNotFoundException,
         )
 
-    def get_on_demand_feature_view(
-        self, name: str, project: str, allow_cache: bool = False
+    def _get_on_demand_feature_view(
+        self, name: str, project: str
     ) -> OnDemandFeatureView:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_on_demand_feature_view(
-                self.cached_registry_proto, name, project
-            )
         return self._get_object(
             table=on_demand_feature_views,
             name=name,
@@ -361,33 +277,7 @@ def get_on_demand_feature_view(
             not_found_exception=FeatureViewNotFoundException,
         )
 
-    def get_request_feature_view(
-        self, name: str, project: str, allow_cache: bool = False
-    ):
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_request_feature_view(
-                self.cached_registry_proto, name, project
-            )
-        return self._get_object(
-            table=request_feature_views,
-            name=name,
-            project=project,
-            proto_class=RequestFeatureViewProto,
-            python_class=RequestFeatureView,
-            id_field_name="feature_view_name",
-            proto_field_name="feature_view_proto",
-            not_found_exception=FeatureViewNotFoundException,
-        )
-
-    def get_feature_service(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> FeatureService:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_feature_service(
-                self.cached_registry_proto, name, project
-            )
+    def _get_feature_service(self, name: str, project: str) -> FeatureService:
         return self._get_object(
             table=feature_services,
             name=name,
@@ -399,14 +289,7 @@ def get_feature_service(
             not_found_exception=FeatureServiceNotFoundException,
         )
 
-    def get_saved_dataset(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> SavedDataset:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_saved_dataset(
-                self.cached_registry_proto, name, project
-            )
+    def _get_saved_dataset(self, name: str, project: str) -> SavedDataset:
         return self._get_object(
             table=saved_datasets,
             name=name,
@@ -418,14 +301,7 @@ def get_saved_dataset(
             not_found_exception=SavedDatasetNotFound,
         )
 
-    def get_validation_reference(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> ValidationReference:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_validation_reference(
-                self.cached_registry_proto, name, project
-            )
+    def _get_validation_reference(self, name: str, project: str) -> ValidationReference:
         return self._get_object(
             table=validation_references,
             name=name,
@@ -437,14 +313,7 @@ def get_validation_reference(
             not_found_exception=ValidationReferenceNotFound,
         )
 
-    def list_validation_references(
-        self, project: str, allow_cache: bool = False
-    ) -> List[ValidationReference]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_validation_references(
-                self.cached_registry_proto, project
-            )
+    def _list_validation_references(self, project: str) -> List[ValidationReference]:
         return self._list_objects(
             table=validation_references,
             project=project,
@@ -453,12 +322,7 @@ def list_validation_references(
             proto_field_name="validation_reference_proto",
         )
 
-    def list_entities(self, project: str, allow_cache: bool = False) -> List[Entity]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_entities(
-                self.cached_registry_proto, project
-            )
+    def _list_entities(self, project: str) -> List[Entity]:
         return self._list_objects(
             entities, project, EntityProto, Entity, "entity_proto"
         )
@@ -472,7 +336,6 @@ def delete_feature_view(self, name: str, project: str, commit: bool = True):
         deleted_count = 0
         for table in {
             feature_views,
-            request_feature_views,
             on_demand_feature_views,
             stream_feature_views,
         }:
@@ -491,14 +354,7 @@ def delete_feature_service(self, name: str, project: str, commit: bool = True):
             FeatureServiceNotFoundException,
         )
 
-    def get_data_source(
-        self, name: str, project: str, allow_cache: bool = False
-    ) -> DataSource:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.get_data_source(
-                self.cached_registry_proto, name, project
-            )
+    def _get_data_source(self, name: str, project: str) -> DataSource:
         return self._get_object(
             table=data_sources,
             name=name,
@@ -510,14 +366,7 @@ def get_data_source(
             not_found_exception=DataSourceObjectNotFoundException,
         )
 
-    def list_data_sources(
-        self, project: str, allow_cache: bool = False
-    ) -> List[DataSource]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_data_sources(
-                self.cached_registry_proto, project
-            )
+    def _list_data_sources(self, project: str) -> List[DataSource]:
         return self._list_objects(
             data_sources, project, DataSourceProto, DataSource, "data_source_proto"
         )
@@ -550,7 +399,7 @@ def apply_feature_service(
         )
 
     def delete_data_source(self, name: str, project: str, commit: bool = True):
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = delete(data_sources).where(
                 data_sources.c.data_source_name == name,
                 data_sources.c.project_id == project,
@@ -559,14 +408,7 @@ def delete_data_source(self, name: str, project: str, commit: bool = True):
             if rows.rowcount < 1:
                 raise DataSourceObjectNotFoundException(name, project)
 
-    def list_feature_services(
-        self, project: str, allow_cache: bool = False
-    ) -> List[FeatureService]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_feature_services(
-                self.cached_registry_proto, project
-            )
+    def _list_feature_services(self, project: str) -> List[FeatureService]:
         return self._list_objects(
             feature_services,
             project,
@@ -575,26 +417,12 @@ def list_feature_services(
             "feature_service_proto",
         )
 
-    def list_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[FeatureView]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_feature_views(
-                self.cached_registry_proto, project
-            )
+    def _list_feature_views(self, project: str) -> List[FeatureView]:
         return self._list_objects(
             feature_views, project, FeatureViewProto, FeatureView, "feature_view_proto"
         )
 
-    def list_saved_datasets(
-        self, project: str, allow_cache: bool = False
-    ) -> List[SavedDataset]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_saved_datasets(
-                self.cached_registry_proto, project
-            )
+    def _list_saved_datasets(self, project: str) -> List[SavedDataset]:
         return self._list_objects(
             saved_datasets,
             project,
@@ -603,30 +431,7 @@ def list_saved_datasets(
             "saved_dataset_proto",
         )
 
-    def list_request_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[RequestFeatureView]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_request_feature_views(
-                self.cached_registry_proto, project
-            )
-        return self._list_objects(
-            request_feature_views,
-            project,
-            RequestFeatureViewProto,
-            RequestFeatureView,
-            "feature_view_proto",
-        )
-
-    def list_on_demand_feature_views(
-        self, project: str, allow_cache: bool = False
-    ) -> List[OnDemandFeatureView]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_on_demand_feature_views(
-                self.cached_registry_proto, project
-            )
+    def _list_on_demand_feature_views(self, project: str) -> List[OnDemandFeatureView]:
         return self._list_objects(
             on_demand_feature_views,
             project,
@@ -635,15 +440,8 @@ def list_on_demand_feature_views(
             "feature_view_proto",
         )
 
-    def list_project_metadata(
-        self, project: str, allow_cache: bool = False
-    ) -> List[ProjectMetadata]:
-        if allow_cache:
-            self._refresh_cached_registry_if_necessary()
-            return proto_registry_utils.list_project_metadata(
-                self.cached_registry_proto, project
-            )
-        with self.engine.connect() as conn:
+    def _list_project_metadata(self, project: str) -> List[ProjectMetadata]:
+        with self.engine.begin() as conn:
             stmt = select(feast_metadata).where(
                 feast_metadata.c.project_id == project,
             )
@@ -651,8 +449,11 @@ def list_project_metadata(
             if rows:
                 project_metadata = ProjectMetadata(project_name=project)
                 for row in rows:
-                    if row["metadata_key"] == FeastMetadataKeys.PROJECT_UUID.value:
-                        project_metadata.project_uuid = row["metadata_value"]
+                    if (
+                        row._mapping["metadata_key"]
+                        == FeastMetadataKeys.PROJECT_UUID.value
+                    ):
+                        project_metadata.project_uuid = row._mapping["metadata_value"]
                         break
                     # TODO(adchia): Add other project metadata in a structured way
                 return [project_metadata]
@@ -697,7 +498,7 @@ def apply_materialization(
         table = self._infer_fv_table(feature_view)
         python_class, proto_class = self._infer_fv_classes(feature_view)
 
-        if python_class in {RequestFeatureView, OnDemandFeatureView}:
+        if python_class in {OnDemandFeatureView}:
             raise ValueError(
                 f"Cannot apply materialization for feature {feature_view.name} of type {python_class}"
             )
@@ -735,7 +536,7 @@ def update_infra(self, infra: Infra, project: str, commit: bool = True):
             name="infra_obj",
         )
 
-    def get_infra(self, project: str, allow_cache: bool = False) -> Infra:
+    def _get_infra(self, project: str) -> Infra:
         infra_object = self._get_object(
             table=managed_infra,
             name="infra_obj",
@@ -759,7 +560,7 @@ def apply_user_metadata(
         table = self._infer_fv_table(feature_view)
 
         name = feature_view.name
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(table).where(
                 getattr(table.c, "feature_view_name") == name,
                 table.c.project_id == project,
@@ -793,8 +594,6 @@ def _infer_fv_table(self, feature_view):
             table = feature_views
         elif isinstance(feature_view, OnDemandFeatureView):
             table = on_demand_feature_views
-        elif isinstance(feature_view, RequestFeatureView):
-            table = request_feature_views
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
         return table
@@ -806,8 +605,6 @@ def _infer_fv_classes(self, feature_view):
             python_class, proto_class = FeatureView, FeatureViewProto
         elif isinstance(feature_view, OnDemandFeatureView):
             python_class, proto_class = OnDemandFeatureView, OnDemandFeatureViewProto
-        elif isinstance(feature_view, RequestFeatureView):
-            python_class, proto_class = RequestFeatureView, RequestFeatureViewProto
         else:
             raise ValueError(f"Unexpected feature view type: {type(feature_view)}")
         return python_class, proto_class
@@ -818,11 +615,11 @@ def get_user_metadata(
         table = self._infer_fv_table(feature_view)
 
         name = feature_view.name
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(table).where(getattr(table.c, "feature_view_name") == name)
             row = conn.execute(stmt).first()
             if row:
-                return row["user_metadata"]
+                return row._mapping["user_metadata"]
             else:
                 raise FeatureViewNotFoundException(feature_view.name, project=project)
 
@@ -836,7 +633,6 @@ def proto(self) -> RegistryProto:
                 (self.list_feature_views, r.feature_views),
                 (self.list_data_sources, r.data_sources),
                 (self.list_on_demand_feature_views, r.on_demand_feature_views),
-                (self.list_request_feature_views, r.request_feature_views),
                 (self.list_stream_feature_views, r.stream_feature_views),
                 (self.list_feature_services, r.feature_services),
                 (self.list_saved_datasets, r.saved_datasets),
@@ -881,7 +677,7 @@ def _apply_object(
         name = name or (obj.name if hasattr(obj, "name") else None)
         assert name, f"name needs to be provided for {obj}"
 
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             update_datetime = datetime.utcnow()
             update_time = int(update_datetime.timestamp())
             stmt = select(table).where(
@@ -898,7 +694,10 @@ def _apply_object(
                 }
                 update_stmt = (
                     update(table)
-                    .where(getattr(table.c, id_field_name) == name)
+                    .where(
+                        getattr(table.c, id_field_name) == name,
+                        table.c.project_id == project,
+                    )
                     .values(
                         values,
                     )
@@ -927,7 +726,7 @@ def _apply_object(
 
     def _maybe_init_project_metadata(self, project):
         # Initialize project metadata if needed
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             update_datetime = datetime.utcnow()
             update_time = int(update_datetime.timestamp())
             stmt = select(feast_metadata).where(
@@ -936,7 +735,7 @@ def _maybe_init_project_metadata(self, project):
             )
             row = conn.execute(stmt).first()
             if row:
-                usage.set_current_project_uuid(row["metadata_value"])
+                usage.set_current_project_uuid(row._mapping["metadata_value"])
             else:
                 new_project_uuid = f"{uuid.uuid4()}"
                 values = {
@@ -957,7 +756,7 @@ def _delete_object(
         id_field_name: str,
         not_found_exception: Optional[Callable],
     ):
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = delete(table).where(
                 getattr(table.c, id_field_name) == name, table.c.project_id == project
             )
@@ -981,13 +780,13 @@ def _get_object(
     ):
         self._maybe_init_project_metadata(project)
 
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(table).where(
                 getattr(table.c, id_field_name) == name, table.c.project_id == project
             )
             row = conn.execute(stmt).first()
             if row:
-                _proto = proto_class.FromString(row[proto_field_name])
+                _proto = proto_class.FromString(row._mapping[proto_field_name])
                 return python_class.from_proto(_proto)
         if not_found_exception:
             raise not_found_exception(name, project)
@@ -1003,20 +802,20 @@ def _list_objects(
         proto_field_name: str,
     ):
         self._maybe_init_project_metadata(project)
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(table).where(table.c.project_id == project)
             rows = conn.execute(stmt).all()
             if rows:
                 return [
                     python_class.from_proto(
-                        proto_class.FromString(row[proto_field_name])
+                        proto_class.FromString(row._mapping[proto_field_name])
                     )
                     for row in rows
                 ]
         return []
 
     def _set_last_updated_metadata(self, last_updated: datetime, project: str):
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(feast_metadata).where(
                 feast_metadata.c.metadata_key
                 == FeastMetadataKeys.LAST_UPDATED_TIMESTAMP.value,
@@ -1050,7 +849,7 @@ def _set_last_updated_metadata(self, last_updated: datetime, project: str):
                 conn.execute(insert_stmt)
 
     def _get_last_updated_metadata(self, project: str):
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             stmt = select(feast_metadata).where(
                 feast_metadata.c.metadata_key
                 == FeastMetadataKeys.LAST_UPDATED_TIMESTAMP.value,
@@ -1059,24 +858,23 @@ def _get_last_updated_metadata(self, project: str):
             row = conn.execute(stmt).first()
             if not row:
                 return None
-            update_time = int(row["last_updated_timestamp"])
+            update_time = int(row._mapping["last_updated_timestamp"])
 
             return datetime.utcfromtimestamp(update_time)
 
     def _get_all_projects(self) -> Set[str]:
         projects = set()
-        with self.engine.connect() as conn:
+        with self.engine.begin() as conn:
             for table in {
                 entities,
                 data_sources,
                 feature_views,
-                request_feature_views,
                 on_demand_feature_views,
                 stream_feature_views,
             }:
                 stmt = select(table)
                 rows = conn.execute(stmt).all()
                 for row in rows:
-                    projects.add(row["project_id"])
+                    projects.add(row._mapping["project_id"])
 
         return projects
diff --git a/sdk/python/feast/infra/transformation_servers/Dockerfile b/sdk/python/feast/infra/transformation_servers/Dockerfile
index c072ed0160..41f272c757 100644
--- a/sdk/python/feast/infra/transformation_servers/Dockerfile
+++ b/sdk/python/feast/infra/transformation_servers/Dockerfile
@@ -15,7 +15,7 @@ COPY README.md README.md
 
 
 # Install dependencies
-RUN --mount=source=.git,target=.git,type=bind pip3 install --no-cache-dir -e '.[gcp,aws]'
+RUN --mount=source=.git,target=.git,type=bind pip3 install --no-cache-dir '.[gcp,aws]'
 
 # Start feature transformation server
 CMD [ "python", "app.py" ]
diff --git a/sdk/python/feast/infra/utils/aws_utils.py b/sdk/python/feast/infra/utils/aws_utils.py
index 728bcab791..c3604ee41f 100644
--- a/sdk/python/feast/infra/utils/aws_utils.py
+++ b/sdk/python/feast/infra/utils/aws_utils.py
@@ -353,7 +353,12 @@ def upload_arrow_table_to_redshift(
         with tempfile.TemporaryFile(suffix=".parquet") as parquet_temp_file:
             # In Pyarrow v13.0, the parquet version was upgraded to v2.6 from v2.4.
             # Set the coerce_timestamps to "us"(microseconds) for backward compatibility.
-            pq.write_table(table, parquet_temp_file, coerce_timestamps="us")
+            pq.write_table(
+                table,
+                parquet_temp_file,
+                coerce_timestamps="us",
+                allow_truncated_timestamps=True,
+            )
             parquet_temp_file.seek(0)
             s3_resource.Object(bucket, key).put(Body=parquet_temp_file)
 
@@ -811,7 +816,7 @@ def execute_athena_query(
     database: str,
     workgroup: str,
     query: str,
-    temp_table: str = None,
+    temp_table: Optional[str] = None,
 ) -> str:
     """Execute athena statement synchronously. Waits for the query to finish.
 
diff --git a/sdk/python/feast/infra/utils/hbase_utils.py b/sdk/python/feast/infra/utils/hbase_utils.py
index d44f93f161..72afda2ef3 100644
--- a/sdk/python/feast/infra/utils/hbase_utils.py
+++ b/sdk/python/feast/infra/utils/hbase_utils.py
@@ -1,4 +1,4 @@
-from typing import List
+from typing import List, Optional
 
 from happybase import ConnectionPool
 
@@ -38,9 +38,9 @@ class HBaseConnector:
 
     def __init__(
         self,
-        pool: ConnectionPool = None,
-        host: str = None,
-        port: int = None,
+        pool: Optional[ConnectionPool] = None,
+        host: Optional[str] = None,
+        port: Optional[int] = None,
         connection_pool_size: int = 4,
     ):
         if pool is None:
diff --git a/sdk/python/feast/infra/utils/snowflake/__init__.py b/sdk/python/feast/infra/utils/snowflake/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/utils/snowflake/registry/__init__.py b/sdk/python/feast/infra/utils/snowflake/registry/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_creation.sql b/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_creation.sql
index 4b53d6bb3f..aa35caeac4 100644
--- a/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_creation.sql
+++ b/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_creation.sql
@@ -57,15 +57,6 @@ CREATE TABLE IF NOT EXISTS REGISTRY_PATH."ON_DEMAND_FEATURE_VIEWS" (
   PRIMARY KEY (on_demand_feature_view_name, project_id)
 );
 
-CREATE TABLE IF NOT EXISTS REGISTRY_PATH."REQUEST_FEATURE_VIEWS" (
-  request_feature_view_name VARCHAR,
-  project_id VARCHAR,
-  last_updated_timestamp TIMESTAMP_LTZ NOT NULL,
-  request_feature_view_proto BINARY NOT NULL,
-  user_metadata BINARY,
-  PRIMARY KEY (request_feature_view_name, project_id)
-);
-
 CREATE TABLE IF NOT EXISTS REGISTRY_PATH."SAVED_DATASETS" (
   saved_dataset_name VARCHAR,
   project_id VARCHAR,
diff --git a/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_deletion.sql b/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_deletion.sql
index 7f5c1991ea..a355c72062 100644
--- a/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_deletion.sql
+++ b/sdk/python/feast/infra/utils/snowflake/registry/snowflake_table_deletion.sql
@@ -12,8 +12,6 @@ DROP TABLE IF EXISTS REGISTRY_PATH."MANAGED_INFRA";
 
 DROP TABLE IF EXISTS REGISTRY_PATH."ON_DEMAND_FEATURE_VIEWS";
 
-DROP TABLE IF EXISTS REGISTRY_PATH."REQUEST_FEATURE_VIEWS";
-
 DROP TABLE IF EXISTS REGISTRY_PATH."SAVED_DATASETS";
 
 DROP TABLE IF EXISTS REGISTRY_PATH."STREAM_FEATURE_VIEWS";
diff --git a/sdk/python/feast/infra/utils/snowflake/snowflake_utils.py b/sdk/python/feast/infra/utils/snowflake/snowflake_utils.py
index a4cda89a6f..dd965c4bed 100644
--- a/sdk/python/feast/infra/utils/snowflake/snowflake_utils.py
+++ b/sdk/python/feast/infra/utils/snowflake/snowflake_utils.py
@@ -43,12 +43,11 @@
 
 
 class GetSnowflakeConnection:
-    def __init__(self, config: str, autocommit=True):
+    def __init__(self, config: Any, autocommit=True):
         self.config = config
         self.autocommit = autocommit
 
     def __enter__(self):
-
         assert self.config.type in [
             "snowflake.registry",
             "snowflake.offline",
@@ -512,7 +511,6 @@ def chunk_helper(lst: pd.DataFrame, n: int) -> Iterator[Tuple[int, pd.DataFrame]
 
 
 def parse_private_key_path(key_path: str, private_key_passphrase: str) -> bytes:
-
     with open(key_path, "rb") as key:
         p_key = serialization.load_pem_private_key(
             key.read(),
diff --git a/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_python_udfs_creation.sql b/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_python_udfs_creation.sql
index a197a3ee4c..e39b12c1f7 100644
--- a/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_python_udfs_creation.sql
+++ b/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_python_udfs_creation.sql
@@ -1,7 +1,7 @@
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_binary_to_bytes_proto(df BINARY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_binary_to_bytes_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -9,15 +9,71 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_binary_to_bytes_proto
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_varchar_to_string_proto(df VARCHAR)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_varchar_to_string_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
 
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_bytes_to_list_bytes_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_bytes_to_list_bytes_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_varchar_to_list_string_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_varchar_to_list_string_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_number_to_list_int32_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int32_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_number_to_list_int64_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int64_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_float_to_list_double_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_float_to_list_double_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_boolean_to_list_bool_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_boolean_to_list_bool_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
+CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_array_timestamp_to_list_unix_timestamp_proto(df ARRAY)
+    RETURNS BINARY
+    LANGUAGE PYTHON
+    RUNTIME_VERSION = '3.9'
+    PACKAGES = ('protobuf', 'pandas')
+    HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_timestamp_to_list_unix_timestamp_proto'
+    IMPORTS = ('@STAGE_HOLDER/feast.zip');
+
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_number_to_int32_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_number_to_int32_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -25,7 +81,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_number_to_int32_proto
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_number_to_int64_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_number_to_int64_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -33,7 +89,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_number_to_int64_proto
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_float_to_double_proto(df DOUBLE)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_float_to_double_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -41,7 +97,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_float_to_double_proto
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_boolean_to_bool_proto(df BOOLEAN)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_boolean_to_bool_boolean_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -49,7 +105,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_boolean_to_bool_proto
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_timestamp_to_unix_timestamp_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_timestamp_to_unix_timestamp_proto'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -57,7 +113,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_snowflake_timestamp_to_unix_tim
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_serialize_entity_keys(names ARRAY, data ARRAY, types ARRAY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_serialize_entity_keys'
   IMPORTS = ('@STAGE_HOLDER/feast.zip');
@@ -65,7 +121,7 @@ CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_serialize_entity_keys(names ARR
 CREATE FUNCTION IF NOT EXISTS feast_PROJECT_NAME_entity_key_proto_to_string(names ARRAY, data ARRAY, types ARRAY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_entity_key_proto_to_string'
   IMPORTS = ('@STAGE_HOLDER/feast.zip')
diff --git a/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_udfs.py b/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_udfs.py
index 02311ca55d..ebba3e9b84 100644
--- a/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_udfs.py
+++ b/sdk/python/feast/infra/utils/snowflake/snowpark/snowflake_udfs.py
@@ -1,6 +1,7 @@
 import sys
 from binascii import unhexlify
 
+import numpy as np
 import pandas
 from _snowflake import vectorized
 
@@ -17,7 +18,7 @@
 CREATE OR REPLACE FUNCTION feast_snowflake_binary_to_bytes_proto(df BINARY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_binary_to_bytes_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -40,7 +41,7 @@ def feast_snowflake_binary_to_bytes_proto(df):
 CREATE OR REPLACE FUNCTION feast_snowflake_varchar_to_string_proto(df VARCHAR)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_varchar_to_string_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -59,11 +60,185 @@ def feast_snowflake_varchar_to_string_proto(df):
     return df
 
 
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_bytes_to_list_bytes_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_bytes_to_list_bytes_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+# ValueType.STRING_LIST = 12
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_bytes_to_list_bytes_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    # Sometimes bytes come in as strings so we need to convert back to float
+    numpy_arrays = np.asarray(df[0].to_list()).astype(bytes)
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(numpy_arrays, ValueType.BYTES_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_varchar_to_list_string_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_varchar_to_list_string_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_varchar_to_list_string_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(df[0].to_numpy(), ValueType.STRING_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_number_to_list_int32_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int32_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_number_to_list_int32_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(df[0].to_numpy(), ValueType.INT32_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_number_to_list_int64_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_number_to_list_int64_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_number_to_list_int64_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(df[0].to_numpy(), ValueType.INT64_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_float_to_list_double_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_float_to_list_double_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_float_to_list_double_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    numpy_arrays = np.asarray(df[0].to_list()).astype(float)
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(numpy_arrays, ValueType.DOUBLE_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_boolean_to_list_bool_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_boolean_to_list_bool_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_boolean_to_list_bool_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(df[0].to_numpy(), ValueType.BOOL_LIST),
+        )
+    )
+    return df
+
+
+"""
+CREATE OR REPLACE FUNCTION feast_snowflake_array_timestamp_to_list_unix_timestamp_proto(df ARRAY)
+  RETURNS BINARY
+  LANGUAGE PYTHON
+  RUNTIME_VERSION = '3.9'
+  PACKAGES = ('protobuf', 'pandas')
+  HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_array_timestamp_to_list_unix_timestamp_proto'
+  IMPORTS = ('@feast_stage/feast.zip');
+"""
+
+
+@vectorized(input=pandas.DataFrame)
+def feast_snowflake_array_timestamp_to_list_unix_timestamp_proto(df):
+    sys._xoptions["snowflake_partner_attribution"].append("feast")
+
+    numpy_arrays = np.asarray(df[0].to_list()).astype(np.datetime64)
+
+    df = list(
+        map(
+            ValueProto.SerializeToString,
+            python_values_to_proto_values(numpy_arrays, ValueType.UNIX_TIMESTAMP_LIST),
+        )
+    )
+    return df
+
+
 """
 CREATE OR REPLACE FUNCTION feast_snowflake_number_to_int32_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_number_to_int32_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -86,7 +261,7 @@ def feast_snowflake_number_to_int32_proto(df):
 CREATE OR REPLACE FUNCTION feast_snowflake_number_to_int64_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_number_to_int64_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -111,7 +286,7 @@ def feast_snowflake_number_to_int64_proto(df):
 CREATE OR REPLACE FUNCTION feast_snowflake_float_to_double_proto(df DOUBLE)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_float_to_double_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -134,7 +309,7 @@ def feast_snowflake_float_to_double_proto(df):
 CREATE OR REPLACE FUNCTION feast_snowflake_boolean_to_bool_proto(df BOOLEAN)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_boolean_to_bool_boolean_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -157,7 +332,7 @@ def feast_snowflake_boolean_to_bool_boolean_proto(df):
 CREATE OR REPLACE FUNCTION feast_snowflake_timestamp_to_unix_timestamp_proto(df NUMBER)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_snowflake_timestamp_to_unix_timestamp_proto'
   IMPORTS = ('@feast_stage/feast.zip');
@@ -183,7 +358,7 @@ def feast_snowflake_timestamp_to_unix_timestamp_proto(df):
 CREATE OR REPLACE FUNCTION feast_serialize_entity_keys(names ARRAY, data ARRAY, types ARRAY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_serialize_entity_keys'
   IMPORTS = ('@feast_stage/feast.zip')
@@ -230,7 +405,7 @@ def feast_serialize_entity_keys(df):
 CREATE OR REPLACE FUNCTION feast_entity_key_proto_to_string(names ARRAY, data ARRAY, types ARRAY)
   RETURNS BINARY
   LANGUAGE PYTHON
-  RUNTIME_VERSION = '3.8'
+  RUNTIME_VERSION = '3.9'
   PACKAGES = ('protobuf', 'pandas')
   HANDLER = 'feast.infra.utils.snowflake.snowpark.snowflake_udfs.feast_entity_key_proto_to_string'
   IMPORTS = ('@feast_stage/feast.zip')
diff --git a/sdk/python/feast/on_demand_feature_view.py b/sdk/python/feast/on_demand_feature_view.py
index fcafeaa2bc..cfb322fb2d 100644
--- a/sdk/python/feast/on_demand_feature_view.py
+++ b/sdk/python/feast/on_demand_feature_view.py
@@ -1,5 +1,6 @@
 import copy
 import functools
+import inspect
 import warnings
 from datetime import datetime
 from types import FunctionType
@@ -7,6 +8,7 @@
 
 import dill
 import pandas as pd
+import pyarrow
 from typeguard import typechecked
 
 from feast.base_feature_view import BaseFeatureView
@@ -24,13 +26,15 @@
     OnDemandFeatureViewSpec,
     OnDemandSource,
 )
-from feast.protos.feast.core.OnDemandFeatureView_pb2 import (
-    UserDefinedFunction as UserDefinedFunctionProto,
+from feast.protos.feast.core.Transformation_pb2 import (
+    FeatureTransformationV2 as FeatureTransformationProto,
 )
-from feast.type_map import (
-    feast_value_type_to_pandas_type,
-    python_type_to_feast_value_type,
+from feast.protos.feast.core.Transformation_pb2 import (
+    UserDefinedFunctionV2 as UserDefinedFunctionProto,
 )
+from feast.transformation.pandas_transformation import PandasTransformation
+from feast.transformation.python_transformation import PythonTransformation
+from feast.transformation.substrait_transformation import SubstraitTransformation
 from feast.usage import log_exceptions
 from feast.value_type import ValueType
 
@@ -51,8 +55,7 @@ class OnDemandFeatureView(BaseFeatureView):
             sources with type FeatureViewProjection.
         source_request_sources: A map from input source names to the actual input
             sources with type RequestSource.
-        udf: The user defined transformation function, which must take pandas dataframes
-            as inputs.
+        feature_transformation: The user defined transformation.
         description: A human-readable description.
         tags: A dictionary of key-value pairs to store arbitrary metadata.
         owner: The owner of the on demand feature view, typically the email of the primary
@@ -63,8 +66,10 @@ class OnDemandFeatureView(BaseFeatureView):
     features: List[Field]
     source_feature_view_projections: Dict[str, FeatureViewProjection]
     source_request_sources: Dict[str, RequestSource]
-    udf: FunctionType
-    udf_string: str
+    feature_transformation: Union[
+        PandasTransformation, PythonTransformation, SubstraitTransformation
+    ]
+    mode: str
     description: str
     tags: Dict[str, str]
     owner: str
@@ -82,8 +87,12 @@ def __init__(  # noqa: C901
                 FeatureViewProjection,
             ]
         ],
-        udf: FunctionType,
+        udf: Optional[FunctionType] = None,
         udf_string: str = "",
+        feature_transformation: Union[
+            PandasTransformation, PythonTransformation, SubstraitTransformation
+        ],
+        mode: str = "pandas",
         description: str = "",
         tags: Optional[Dict[str, str]] = None,
         owner: str = "",
@@ -98,9 +107,11 @@ def __init__(  # noqa: C901
             sources: A map from input source names to the actual input sources, which may be
                 feature views, or request data sources. These sources serve as inputs to the udf,
                 which will refer to them by name.
-            udf: The user defined transformation function, which must take pandas
+            udf (deprecated): The user defined transformation function, which must take pandas
                 dataframes as inputs.
-            udf_string: The source code version of the udf (for diffing and displaying in Web UI)
+            udf_string (deprecated): The source code version of the udf (for diffing and displaying in Web UI)
+            feature_transformation: The user defined transformation.
+            mode: Mode of execution (e.g., Pandas or Python native)
             description (optional): A human-readable description.
             tags (optional): A dictionary of key-value pairs to store arbitrary metadata.
             owner (optional): The owner of the on demand feature view, typically the email
@@ -114,6 +125,30 @@ def __init__(  # noqa: C901
             owner=owner,
         )
 
+        if mode not in {"python", "pandas", "substrait"}:
+            raise Exception(
+                f"Unknown mode {mode}. OnDemandFeatureView only supports python or pandas UDFs and substrait."
+            )
+        else:
+            self.mode = mode
+        if not feature_transformation:
+            if udf:
+                warnings.warn(
+                    "udf and udf_string parameters are deprecated. Please use transformation=PandasTransformation(udf, udf_string) instead.",
+                    DeprecationWarning,
+                )
+                # Note inspecting the return signature won't work with isinstance so this is the best alternative
+                if mode == "pandas":
+                    feature_transformation = PandasTransformation(udf, udf_string)
+                elif mode == "python":
+                    feature_transformation = PythonTransformation(udf, udf_string)
+                else:
+                    pass
+            else:
+                raise Exception(
+                    "OnDemandFeatureView needs to be initialized with either feature_transformation or udf arguments"
+                )
+
         self.source_feature_view_projections: Dict[str, FeatureViewProjection] = {}
         self.source_request_sources: Dict[str, RequestSource] = {}
         for odfv_source in sources:
@@ -122,12 +157,11 @@ def __init__(  # noqa: C901
             elif isinstance(odfv_source, FeatureViewProjection):
                 self.source_feature_view_projections[odfv_source.name] = odfv_source
             else:
-                self.source_feature_view_projections[
-                    odfv_source.name
-                ] = odfv_source.projection
+                self.source_feature_view_projections[odfv_source.name] = (
+                    odfv_source.projection
+                )
 
-        self.udf = udf  # type: ignore
-        self.udf_string = udf_string
+        self.feature_transformation = feature_transformation
 
     @property
     def proto_class(self) -> Type[OnDemandFeatureViewProto]:
@@ -139,8 +173,8 @@ def __copy__(self):
             schema=self.features,
             sources=list(self.source_feature_view_projections.values())
             + list(self.source_request_sources.values()),
-            udf=self.udf,
-            udf_string=self.udf_string,
+            feature_transformation=self.feature_transformation,
+            mode=self.mode,
             description=self.description,
             tags=self.tags,
             owner=self.owner,
@@ -161,8 +195,8 @@ def __eq__(self, other):
             self.source_feature_view_projections
             != other.source_feature_view_projections
             or self.source_request_sources != other.source_request_sources
-            or self.udf_string != other.udf_string
-            or self.udf.__code__.co_code != other.udf.__code__.co_code
+            or self.mode != other.mode
+            or self.feature_transformation != other.feature_transformation
         ):
             return False
 
@@ -196,15 +230,23 @@ def to_proto(self) -> OnDemandFeatureViewProto:
                 request_data_source=request_sources.to_proto()
             )
 
+        feature_transformation = FeatureTransformationProto(
+            user_defined_function=self.feature_transformation.to_proto()
+            if isinstance(
+                self.feature_transformation,
+                (PandasTransformation, PythonTransformation),
+            )
+            else None,
+            substrait_transformation=self.feature_transformation.to_proto()
+            if isinstance(self.feature_transformation, SubstraitTransformation)
+            else None,
+        )
         spec = OnDemandFeatureViewSpec(
             name=self.name,
             features=[feature.to_proto() for feature in self.features],
             sources=sources,
-            user_defined_function=UserDefinedFunctionProto(
-                name=self.udf.__name__,
-                body=dill.dumps(self.udf, recurse=True),
-                body_text=self.udf_string,
-            ),
+            feature_transformation=feature_transformation,
+            mode=self.mode,
             description=self.description,
             tags=self.tags,
             owner=self.owner,
@@ -213,12 +255,17 @@ def to_proto(self) -> OnDemandFeatureViewProto:
         return OnDemandFeatureViewProto(spec=spec, meta=meta)
 
     @classmethod
-    def from_proto(cls, on_demand_feature_view_proto: OnDemandFeatureViewProto):
+    def from_proto(
+        cls,
+        on_demand_feature_view_proto: OnDemandFeatureViewProto,
+        skip_udf: bool = False,
+    ):
         """
         Creates an on demand feature view from a protobuf representation.
 
         Args:
             on_demand_feature_view_proto: A protobuf representation of an on-demand feature view.
+            skip_udf: A boolean indicating whether to skip loading the udf
 
         Returns:
             A OnDemandFeatureView object based on the on-demand feature view protobuf.
@@ -243,6 +290,55 @@ def from_proto(cls, on_demand_feature_view_proto: OnDemandFeatureViewProto):
                     RequestSource.from_proto(on_demand_source.request_data_source)
                 )
 
+        if (
+            on_demand_feature_view_proto.spec.feature_transformation.WhichOneof(
+                "transformation"
+            )
+            == "user_defined_function"
+            and on_demand_feature_view_proto.spec.feature_transformation.user_defined_function.body_text
+            != ""
+            and on_demand_feature_view_proto.spec.mode == "pandas"
+        ):
+            transformation = PandasTransformation.from_proto(
+                on_demand_feature_view_proto.spec.feature_transformation.user_defined_function
+            )
+        elif (
+            on_demand_feature_view_proto.spec.feature_transformation.WhichOneof(
+                "transformation"
+            )
+            == "user_defined_function"
+            and on_demand_feature_view_proto.spec.feature_transformation.user_defined_function.body_text
+            != ""
+            and on_demand_feature_view_proto.spec.mode == "python"
+        ):
+            transformation = PythonTransformation.from_proto(
+                on_demand_feature_view_proto.spec.feature_transformation.user_defined_function
+            )
+        elif (
+            on_demand_feature_view_proto.spec.feature_transformation.WhichOneof(
+                "transformation"
+            )
+            == "substrait_transformation"
+        ):
+            transformation = SubstraitTransformation.from_proto(
+                on_demand_feature_view_proto.spec.feature_transformation.substrait_transformation
+            )
+        elif (
+            hasattr(on_demand_feature_view_proto.spec, "user_defined_function")
+            and on_demand_feature_view_proto.spec.feature_transformation.user_defined_function.body_text
+            == ""
+        ):
+            backwards_compatible_udf = UserDefinedFunctionProto(
+                name=on_demand_feature_view_proto.spec.user_defined_function.name,
+                body=on_demand_feature_view_proto.spec.user_defined_function.body,
+                body_text=on_demand_feature_view_proto.spec.user_defined_function.body_text,
+            )
+            transformation = PandasTransformation.from_proto(
+                user_defined_function_proto=backwards_compatible_udf,
+            )
+        else:
+            raise Exception("At least one transformation type needs to be provided")
+
         on_demand_feature_view_obj = cls(
             name=on_demand_feature_view_proto.spec.name,
             schema=[
@@ -253,10 +349,8 @@ def from_proto(cls, on_demand_feature_view_proto: OnDemandFeatureViewProto):
                 for feature in on_demand_feature_view_proto.spec.features
             ],
             sources=sources,
-            udf=dill.loads(
-                on_demand_feature_view_proto.spec.user_defined_function.body
-            ),
-            udf_string=on_demand_feature_view_proto.spec.user_defined_function.body_text,
+            feature_transformation=transformation,
+            mode=on_demand_feature_view_proto.spec.mode,
             description=on_demand_feature_view_proto.spec.description,
             tags=dict(on_demand_feature_view_proto.spec.tags),
             owner=on_demand_feature_view_proto.spec.owner,
@@ -295,12 +389,71 @@ def get_request_data_schema(self) -> Dict[str, ValueType]:
                 )
         return schema
 
+    def _get_projected_feature_name(self, feature: str) -> str:
+        return f"{self.projection.name_to_use()}__{feature}"
+
+    def transform_arrow(
+        self,
+        pa_table: pyarrow.Table,
+        full_feature_names: bool = False,
+    ) -> pyarrow.Table:
+        if not isinstance(pa_table, pyarrow.Table):
+            raise TypeError("transform_arrow only accepts pyarrow.Table")
+        columns_to_cleanup = []
+        for source_fv_projection in self.source_feature_view_projections.values():
+            for feature in source_fv_projection.features:
+                full_feature_ref = f"{source_fv_projection.name}__{feature.name}"
+                if full_feature_ref in pa_table.column_names:
+                    # Make sure the partial feature name is always present
+                    pa_table = pa_table.append_column(
+                        feature.name, pa_table[full_feature_ref]
+                    )
+                    # pa_table[feature.name] = pa_table[full_feature_ref]
+                    columns_to_cleanup.append(feature.name)
+                elif feature.name in pa_table.column_names:
+                    # Make sure the full feature name is always present
+                    # pa_table[full_feature_ref] = pa_table[feature.name]
+                    pa_table = pa_table.append_column(
+                        full_feature_ref, pa_table[feature.name]
+                    )
+                    columns_to_cleanup.append(full_feature_ref)
+
+        df_with_transformed_features: pyarrow.Table = (
+            self.feature_transformation.transform_arrow(pa_table)
+        )
+
+        # Work out whether the correct columns names are used.
+        rename_columns: Dict[str, str] = {}
+        for feature in self.features:
+            short_name = feature.name
+            long_name = self._get_projected_feature_name(feature.name)
+            if (
+                short_name in df_with_transformed_features.column_names
+                and full_feature_names
+            ):
+                rename_columns[short_name] = long_name
+            elif not full_feature_names:
+                rename_columns[long_name] = short_name
+
+        # Cleanup extra columns used for transformation
+        for col in columns_to_cleanup:
+            if col in df_with_transformed_features.column_names:
+                df_with_transformed_features = df_with_transformed_features.dtop(col)
+        return df_with_transformed_features.rename_columns(
+            [
+                rename_columns.get(c, c)
+                for c in df_with_transformed_features.column_names
+            ]
+        )
+
     def get_transformed_features_df(
         self,
         df_with_features: pd.DataFrame,
         full_feature_names: bool = False,
     ) -> pd.DataFrame:
         # Apply on demand transformations
+        if not isinstance(df_with_features, pd.DataFrame):
+            raise TypeError("get_transformed_features_df only accepts pd.DataFrame")
         columns_to_cleanup = []
         for source_fv_projection in self.source_feature_view_projections.values():
             for feature in source_fv_projection.features:
@@ -315,13 +468,15 @@ def get_transformed_features_df(
                     columns_to_cleanup.append(full_feature_ref)
 
         # Compute transformed values and apply to each result row
-        df_with_transformed_features = self.udf.__call__(df_with_features)
+        df_with_transformed_features: pd.DataFrame = (
+            self.feature_transformation.transform(df_with_features)
+        )
 
         # Work out whether the correct columns names are used.
         rename_columns: Dict[str, str] = {}
         for feature in self.features:
             short_name = feature.name
-            long_name = f"{self.projection.name_to_use()}__{feature.name}"
+            long_name = self._get_projected_feature_name(feature.name)
             if (
                 short_name in df_with_transformed_features.columns
                 and full_feature_names
@@ -335,53 +490,66 @@ def get_transformed_features_df(
         df_with_features.drop(columns=columns_to_cleanup, inplace=True)
         return df_with_transformed_features.rename(columns=rename_columns)
 
-    def infer_features(self):
-        """
-        Infers the set of features associated to this feature view from the input source.
+    def get_transformed_features_dict(
+        self,
+        feature_dict: Dict[str, Any],  # type: ignore
+    ) -> Dict[str, Any]:
+        # we need a mapping from full feature name to short and back to do a renaming
+        # The simplest thing to do is to make the full reference, copy the columns with the short reference
+        # and rerun
+        columns_to_cleanup: List[str] = []
+        for source_fv_projection in self.source_feature_view_projections.values():
+            for feature in source_fv_projection.features:
+                full_feature_ref = f"{source_fv_projection.name}__{feature.name}"
+                if full_feature_ref in feature_dict.keys():
+                    # Make sure the partial feature name is always present
+                    feature_dict[feature.name] = feature_dict[full_feature_ref]
+                    columns_to_cleanup.append(str(feature.name))
+                elif feature.name in feature_dict.keys():
+                    # Make sure the full feature name is always present
+                    feature_dict[full_feature_ref] = feature_dict[feature.name]
+                    columns_to_cleanup.append(str(full_feature_ref))
 
-        Raises:
-            RegistryInferenceFailure: The set of features could not be inferred.
-        """
-        rand_df_value: Dict[str, Any] = {
-            "float": 1.0,
-            "int": 1,
-            "str": "hello world",
-            "bytes": str.encode("hello world"),
-            "bool": True,
-            "datetime64[ns]": datetime.utcnow(),
-        }
+        output_dict: Dict[str, Any] = self.feature_transformation.transform(
+            feature_dict
+        )
+        for feature_name in columns_to_cleanup:
+            del output_dict[feature_name]
+        return output_dict
 
-        df = pd.DataFrame()
-        for feature_view_projection in self.source_feature_view_projections.values():
-            for feature in feature_view_projection.features:
-                dtype = feast_value_type_to_pandas_type(feature.dtype.to_value_type())
-                df[f"{feature_view_projection.name}__{feature.name}"] = pd.Series(
-                    dtype=dtype
-                )
-                sample_val = rand_df_value[dtype] if dtype in rand_df_value else None
-                df[f"{feature.name}"] = pd.Series(data=sample_val, dtype=dtype)
-        for request_data in self.source_request_sources.values():
-            for field in request_data.schema:
-                dtype = feast_value_type_to_pandas_type(field.dtype.to_value_type())
-                sample_val = rand_df_value[dtype] if dtype in rand_df_value else None
-                df[f"{field.name}"] = pd.Series(sample_val, dtype=dtype)
-        output_df: pd.DataFrame = self.udf.__call__(df)
-        inferred_features = []
-        for f, dt in zip(output_df.columns, output_df.dtypes):
-            inferred_features.append(
-                Field(
-                    name=f,
-                    dtype=from_value_type(
-                        python_type_to_feast_value_type(f, type_name=str(dt))
-                    ),
-                )
+    def get_transformed_features(
+        self,
+        features: Union[Dict[str, Any], pd.DataFrame],
+        full_feature_names: bool = False,
+    ) -> Union[Dict[str, Any], pd.DataFrame]:
+        # TODO: classic inheritance pattern....maybe fix this
+        if self.mode == "python" and isinstance(features, Dict):
+            # note full_feature_names is not needed for the dictionary
+            return self.get_transformed_features_dict(
+                feature_dict=features,
+            )
+        elif self.mode in {"pandas", "substrait"} and isinstance(
+            features, pd.DataFrame
+        ):
+            return self.get_transformed_features_df(
+                df_with_features=features,
+                full_feature_names=full_feature_names,
             )
+        else:
+            raise Exception(
+                f'Invalid OnDemandFeatureMode: {self.mode}. Expected one of "pandas" or "python".'
+            )
+
+    def infer_features(self) -> None:
+        inferred_features = self.feature_transformation.infer_features(
+            self._construct_random_input()
+        )
 
         if self.features:
             missing_features = []
-            for specified_features in self.features:
-                if specified_features not in inferred_features:
-                    missing_features.append(specified_features)
+            for specified_feature in self.features:
+                if specified_feature not in inferred_features:
+                    missing_features.append(specified_feature)
             if missing_features:
                 raise SpecifiedFeaturesNotPresentError(
                     missing_features, inferred_features, self.name
@@ -395,8 +563,47 @@ def infer_features(self):
                 f"Could not infer Features for the feature view '{self.name}'.",
             )
 
+    def _construct_random_input(self) -> Dict[str, List[Any]]:
+        rand_dict_value: Dict[ValueType, List[Any]] = {
+            ValueType.BYTES: [str.encode("hello world")],
+            ValueType.STRING: ["hello world"],
+            ValueType.INT32: [1],
+            ValueType.INT64: [1],
+            ValueType.DOUBLE: [1.0],
+            ValueType.FLOAT: [1.0],
+            ValueType.BOOL: [True],
+            ValueType.UNIX_TIMESTAMP: [datetime.utcnow()],
+            ValueType.BYTES_LIST: [[str.encode("hello world")]],
+            ValueType.STRING_LIST: [["hello world"]],
+            ValueType.INT32_LIST: [[1]],
+            ValueType.INT64_LIST: [[1]],
+            ValueType.DOUBLE_LIST: [[1.0]],
+            ValueType.FLOAT_LIST: [[1.0]],
+            ValueType.BOOL_LIST: [[True]],
+            ValueType.UNIX_TIMESTAMP_LIST: [[datetime.utcnow()]],
+        }
+
+        feature_dict = {}
+        for feature_view_projection in self.source_feature_view_projections.values():
+            for feature in feature_view_projection.features:
+                feature_dict[f"{feature_view_projection.name}__{feature.name}"] = (
+                    rand_dict_value.get(feature.dtype.to_value_type(), [None])
+                )
+                feature_dict[f"{feature.name}"] = rand_dict_value.get(
+                    feature.dtype.to_value_type(), [None]
+                )
+        for request_data in self.source_request_sources.values():
+            for field in request_data.schema:
+                feature_dict[f"{field.name}"] = rand_dict_value.get(
+                    field.dtype.to_value_type(), [None]
+                )
+
+        return feature_dict
+
     @staticmethod
-    def get_requested_odfvs(feature_refs, project, registry):
+    def get_requested_odfvs(
+        feature_refs, project, registry
+    ) -> List["OnDemandFeatureView"]:
         all_on_demand_feature_views = registry.list_on_demand_feature_views(
             project, allow_cache=True
         )
@@ -419,6 +626,7 @@ def on_demand_feature_view(
             FeatureViewProjection,
         ]
     ],
+    mode: str = "pandas",
     description: str = "",
     tags: Optional[Dict[str, str]] = None,
     owner: str = "",
@@ -432,30 +640,53 @@ def on_demand_feature_view(
         sources: A map from input source names to the actual input sources, which may be
             feature views, or request data sources. These sources serve as inputs to the udf,
             which will refer to them by name.
+        mode: The mode of execution (e.g,. Pandas or Python Native)
         description (optional): A human-readable description.
         tags (optional): A dictionary of key-value pairs to store arbitrary metadata.
         owner (optional): The owner of the on demand feature view, typically the email
             of the primary maintainer.
     """
 
-    def mainify(obj):
+    def mainify(obj) -> None:
         # Needed to allow dill to properly serialize the udf. Otherwise, clients will need to have a file with the same
         # name as the original file defining the ODFV.
         if obj.__module__ != "__main__":
             obj.__module__ = "__main__"
 
     def decorator(user_function):
+        return_annotation = inspect.signature(user_function).return_annotation
         udf_string = dill.source.getsource(user_function)
         mainify(user_function)
+        if mode == "pandas":
+            if return_annotation not in (inspect._empty, pd.DataFrame):
+                raise TypeError(
+                    f"return signature for {user_function} is {return_annotation} but should be pd.DataFrame"
+                )
+            transformation = PandasTransformation(user_function, udf_string)
+        elif mode == "python":
+            if return_annotation not in (inspect._empty, Dict[str, Any]):
+                raise TypeError(
+                    f"return signature for {user_function} is {return_annotation} but should be Dict[str, Any]"
+                )
+            transformation = PythonTransformation(user_function, udf_string)
+        elif mode == "substrait":
+            from ibis.expr.types.relations import Table
+
+            if return_annotation not in (inspect._empty, Table):
+                raise TypeError(
+                    f"return signature for {user_function} is {return_annotation} but should be ibis.expr.types.relations.Table"
+                )
+            transformation = SubstraitTransformation.from_ibis(user_function, sources)
+
         on_demand_feature_view_obj = OnDemandFeatureView(
             name=user_function.__name__,
             sources=sources,
             schema=schema,
-            udf=user_function,
+            feature_transformation=transformation,
+            mode=mode,
             description=description,
             tags=tags,
             owner=owner,
-            udf_string=udf_string,
         )
         functools.update_wrapper(
             wrapper=on_demand_feature_view_obj, wrapped=user_function
@@ -480,3 +711,8 @@ def feature_view_to_batch_feature_view(fv: FeatureView) -> BatchFeatureView:
     bfv.features = copy.copy(fv.features)
     bfv.entities = copy.copy(fv.entities)
     return bfv
+
+
+def _empty_odfv_udf_fn(x: Any) -> Any:
+    # just an identity mapping, otherwise we risk tripping some downstream tests
+    return x
diff --git a/sdk/python/feast/registry_server.py b/sdk/python/feast/registry_server.py
new file mode 100644
index 0000000000..7de0cc43e1
--- /dev/null
+++ b/sdk/python/feast/registry_server.py
@@ -0,0 +1,185 @@
+from concurrent import futures
+
+import grpc
+from google.protobuf.empty_pb2 import Empty
+
+from feast import FeatureStore
+from feast.protos.feast.registry import RegistryServer_pb2, RegistryServer_pb2_grpc
+
+
+class RegistryServer(RegistryServer_pb2_grpc.RegistryServerServicer):
+    def __init__(self, store: FeatureStore) -> None:
+        super().__init__()
+        self.proxied_registry = store.registry
+
+    def GetEntity(self, request: RegistryServer_pb2.GetEntityRequest, context):
+        return self.proxied_registry.get_entity(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListEntities(self, request, context):
+        return RegistryServer_pb2.ListEntitiesResponse(
+            entities=[
+                entity.to_proto()
+                for entity in self.proxied_registry.list_entities(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetDataSource(self, request: RegistryServer_pb2.GetDataSourceRequest, context):
+        return self.proxied_registry.get_data_source(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListDataSources(self, request, context):
+        return RegistryServer_pb2.ListDataSourcesResponse(
+            data_sources=[
+                data_source.to_proto()
+                for data_source in self.proxied_registry.list_data_sources(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetFeatureView(
+        self, request: RegistryServer_pb2.GetFeatureViewRequest, context
+    ):
+        return self.proxied_registry.get_feature_view(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListFeatureViews(self, request, context):
+        return RegistryServer_pb2.ListFeatureViewsResponse(
+            feature_views=[
+                feature_view.to_proto()
+                for feature_view in self.proxied_registry.list_feature_views(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetStreamFeatureView(
+        self, request: RegistryServer_pb2.GetStreamFeatureViewRequest, context
+    ):
+        return self.proxied_registry.get_stream_feature_view(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListStreamFeatureViews(self, request, context):
+        return RegistryServer_pb2.ListStreamFeatureViewsResponse(
+            stream_feature_views=[
+                stream_feature_view.to_proto()
+                for stream_feature_view in self.proxied_registry.list_stream_feature_views(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetOnDemandFeatureView(
+        self, request: RegistryServer_pb2.GetOnDemandFeatureViewRequest, context
+    ):
+        return self.proxied_registry.get_on_demand_feature_view(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListOnDemandFeatureViews(self, request, context):
+        return RegistryServer_pb2.ListOnDemandFeatureViewsResponse(
+            on_demand_feature_views=[
+                on_demand_feature_view.to_proto()
+                for on_demand_feature_view in self.proxied_registry.list_on_demand_feature_views(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetFeatureService(
+        self, request: RegistryServer_pb2.GetFeatureServiceRequest, context
+    ):
+        return self.proxied_registry.get_feature_service(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListFeatureServices(
+        self, request: RegistryServer_pb2.ListFeatureServicesRequest, context
+    ):
+        return RegistryServer_pb2.ListFeatureServicesResponse(
+            feature_services=[
+                feature_service.to_proto()
+                for feature_service in self.proxied_registry.list_feature_services(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetSavedDataset(
+        self, request: RegistryServer_pb2.GetSavedDatasetRequest, context
+    ):
+        return self.proxied_registry.get_saved_dataset(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListSavedDatasets(
+        self, request: RegistryServer_pb2.ListSavedDatasetsRequest, context
+    ):
+        return RegistryServer_pb2.ListSavedDatasetsResponse(
+            saved_datasets=[
+                saved_dataset.to_proto()
+                for saved_dataset in self.proxied_registry.list_saved_datasets(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetValidationReference(
+        self, request: RegistryServer_pb2.GetValidationReferenceRequest, context
+    ):
+        return self.proxied_registry.get_validation_reference(
+            name=request.name, project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def ListValidationReferences(
+        self, request: RegistryServer_pb2.ListValidationReferencesRequest, context
+    ):
+        return RegistryServer_pb2.ListValidationReferencesResponse(
+            validation_references=[
+                validation_reference.to_proto()
+                for validation_reference in self.proxied_registry.list_validation_references(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def ListProjectMetadata(
+        self, request: RegistryServer_pb2.ListProjectMetadataRequest, context
+    ):
+        return RegistryServer_pb2.ListProjectMetadataResponse(
+            project_metadata=[
+                project_metadata.to_proto()
+                for project_metadata in self.proxied_registry.list_project_metadata(
+                    project=request.project, allow_cache=request.allow_cache
+                )
+            ]
+        )
+
+    def GetInfra(self, request: RegistryServer_pb2.GetInfraRequest, context):
+        return self.proxied_registry.get_infra(
+            project=request.project, allow_cache=request.allow_cache
+        ).to_proto()
+
+    def Refresh(self, request, context):
+        self.proxied_registry.refresh(request.project)
+        return Empty()
+
+    def Proto(self, request, context):
+        return self.proxied_registry.proto()
+
+
+def start_server(store: FeatureStore, port: int):
+    server = grpc.server(futures.ThreadPoolExecutor(max_workers=10))
+    RegistryServer_pb2_grpc.add_RegistryServerServicer_to_server(
+        RegistryServer(store), server
+    )
+    server.add_insecure_port(f"[::]:{port}")
+    server.start()
+    server.wait_for_termination()
diff --git a/sdk/python/feast/repo_config.py b/sdk/python/feast/repo_config.py
index 3461ae058b..26ada13fc5 100644
--- a/sdk/python/feast/repo_config.py
+++ b/sdk/python/feast/repo_config.py
@@ -2,20 +2,19 @@
 import os
 import warnings
 from pathlib import Path
-from typing import Any
+from typing import Any, Dict, Optional
 
 import yaml
 from pydantic import (
     BaseModel,
+    ConfigDict,
     Field,
     StrictInt,
     StrictStr,
     ValidationError,
-    root_validator,
-    validator,
+    field_validator,
+    model_validator,
 )
-from pydantic.error_wrappers import ErrorWrapper
-from pydantic.typing import Dict, Optional
 
 from feast.errors import (
     FeastFeatureServerTypeInvalidError,
@@ -40,6 +39,7 @@
     "file": "feast.infra.registry.registry.Registry",
     "sql": "feast.infra.registry.sql.SqlRegistry",
     "snowflake.registry": "feast.infra.registry.snowflake.SnowflakeRegistry",
+    "remote": "feast.infra.registry.remote.RemoteRegistry",
 }
 
 BATCH_ENGINE_CLASS_FOR_TYPE = {
@@ -47,6 +47,7 @@
     "snowflake.engine": "feast.infra.materialization.snowflake_engine.SnowflakeMaterializationEngine",
     "lambda": "feast.infra.materialization.aws_lambda.lambda_engine.LambdaMaterializationEngine",
     "bytewax": "feast.infra.materialization.contrib.bytewax.bytewax_materialization_engine.BytewaxMaterializationEngine",
+    "k8s": "feast.infra.materialization.kubernetes.kubernetes_materialization_engine.KubernetesMaterializationEngine",
     "spark.engine": "feast.infra.materialization.contrib.spark.spark_materialization_engine.SparkMaterializationEngine",
 }
 
@@ -75,6 +76,7 @@
     "postgres": "feast.infra.offline_stores.contrib.postgres_offline_store.postgres.PostgreSQLOfflineStore",
     "athena": "feast.infra.offline_stores.contrib.athena_offline_store.athena.AthenaOfflineStore",
     "mssql": "feast.infra.offline_stores.contrib.mssql_offline_store.mssql.MsSqlServerOfflineStore",
+    "duckdb": "feast.infra.offline_stores.duckdb.DuckDBOfflineStore",
 }
 
 FEATURE_SERVER_CONFIG_CLASS_FOR_TYPE = {
@@ -93,17 +95,13 @@
 class FeastBaseModel(BaseModel):
     """Feast Pydantic Configuration Class"""
 
-    class Config:
-        arbitrary_types_allowed = True
-        extra = "allow"
+    model_config = ConfigDict(arbitrary_types_allowed=True, extra="allow")
 
 
 class FeastConfigBaseModel(BaseModel):
     """Feast Pydantic Configuration Class"""
 
-    class Config:
-        arbitrary_types_allowed = True
-        extra = "forbid"
+    model_config = ConfigDict(arbitrary_types_allowed=True, extra="forbid")
 
 
 class RegistryConfig(FeastBaseModel):
@@ -112,7 +110,7 @@ class RegistryConfig(FeastBaseModel):
     registry_type: StrictStr = "file"
     """ str: Provider name or a class name that implements Registry."""
 
-    registry_store_type: Optional[StrictStr]
+    registry_store_type: Optional[StrictStr] = None
     """ str: Provider name or a class name that implements RegistryStore. """
 
     path: StrictStr = ""
@@ -126,9 +124,12 @@ class RegistryConfig(FeastBaseModel):
      set to infinity by setting TTL to 0 seconds, which means the cache will only be loaded once and will never
      expire. Users can manually refresh the cache by calling feature_store.refresh_registry() """
 
-    s3_additional_kwargs: Optional[Dict[str, str]]
+    s3_additional_kwargs: Optional[Dict[str, str]] = None
     """ Dict[str, str]: Extra arguments to pass to boto3 when writing the registry file to S3. """
 
+    sqlalchemy_config_kwargs: Dict[str, Any] = {}
+    """ Dict[str, Any]: Extra arguments to pass to SQLAlchemy.create_engine. """
+
 
 class RepoConfig(FeastBaseModel):
     """Repo config. Typically loaded from `feature_store.yaml`"""
@@ -142,7 +143,7 @@ class RepoConfig(FeastBaseModel):
     provider: StrictStr
     """ str: local or gcp or aws """
 
-    _registry_config: Any = Field(alias="registry", default="data/registry.db")
+    registry_config: Any = Field(alias="registry", default="data/registry.db")
     """ Configures the registry.
         Can be:
             1. str: a path to a file based registry (a local path, or remote object storage path, e.g. a GCS URI)
@@ -150,19 +151,19 @@ class RepoConfig(FeastBaseModel):
             3. SnowflakeRegistryConfig: Using a Snowflake table to store the registry
     """
 
-    _online_config: Any = Field(alias="online_store")
+    online_config: Any = Field(None, alias="online_store")
     """ OnlineStoreConfig: Online store configuration (optional depending on provider) """
 
-    _offline_config: Any = Field(alias="offline_store")
+    offline_config: Any = Field(None, alias="offline_store")
     """ OfflineStoreConfig: Offline store configuration (optional depending on provider) """
 
-    _batch_engine_config: Any = Field(alias="batch_engine")
+    batch_engine_config: Any = Field(None, alias="batch_engine")
     """ BatchMaterializationEngine: Batch materialization configuration (optional depending on provider)"""
 
-    feature_server: Optional[Any]
+    feature_server: Optional[Any] = None
     """ FeatureServerConfig: Feature server configuration (optional depending on provider) """
 
-    flags: Any
+    flags: Any = None
     """ Flags (deprecated field): Feature flags for experimental features """
 
     repo_path: Optional[Path] = None
@@ -187,42 +188,42 @@ def __init__(self, **data: Any):
         self._registry = None
         if "registry" not in data:
             raise FeastRegistryNotSetError()
-        self._registry_config = data["registry"]
+        self.registry_config = data["registry"]
 
         self._offline_store = None
         if "offline_store" in data:
-            self._offline_config = data["offline_store"]
+            self.offline_config = data["offline_store"]
         else:
             if data["provider"] == "local":
-                self._offline_config = "file"
+                self.offline_config = "file"
             elif data["provider"] == "gcp":
-                self._offline_config = "bigquery"
+                self.offline_config = "bigquery"
             elif data["provider"] == "aws":
-                self._offline_config = "redshift"
+                self.offline_config = "redshift"
             elif data["provider"] == "azure":
-                self._offline_config = "mssql"
+                self.offline_config = "mssql"
 
         self._online_store = None
         if "online_store" in data:
-            self._online_config = data["online_store"]
+            self.online_config = data["online_store"]
         else:
             if data["provider"] == "local":
-                self._online_config = "sqlite"
+                self.online_config = "sqlite"
             elif data["provider"] == "gcp":
-                self._online_config = "datastore"
+                self.online_config = "datastore"
             elif data["provider"] == "aws":
-                self._online_config = "dynamodb"
+                self.online_config = "dynamodb"
             elif data["provider"] == "rockset":
-                self._online_config = "rockset"
+                self.online_config = "rockset"
 
         self._batch_engine = None
         if "batch_engine" in data:
-            self._batch_engine_config = data["batch_engine"]
+            self.batch_engine_config = data["batch_engine"]
         elif "batch_engine_config" in data:
-            self._batch_engine_config = data["batch_engine_config"]
+            self.batch_engine_config = data["batch_engine_config"]
         else:
             # Defaults to using local in-process materialization engine.
-            self._batch_engine_config = "local"
+            self.batch_engine_config = "local"
 
         if isinstance(self.feature_server, Dict):
             self.feature_server = get_feature_server_config_from_type(
@@ -242,71 +243,71 @@ def __init__(self, **data: Any):
     @property
     def registry(self):
         if not self._registry:
-            if isinstance(self._registry_config, Dict):
-                if "registry_type" in self._registry_config:
+            if isinstance(self.registry_config, Dict):
+                if "registry_type" in self.registry_config:
                     self._registry = get_registry_config_from_type(
-                        self._registry_config["registry_type"]
-                    )(**self._registry_config)
+                        self.registry_config["registry_type"]
+                    )(**self.registry_config)
                 else:
                     # This may be a custom registry store, which does not need a 'registry_type'
-                    self._registry = RegistryConfig(**self._registry_config)
-            elif isinstance(self._registry_config, str):
+                    self._registry = RegistryConfig(**self.registry_config)
+            elif isinstance(self.registry_config, str):
                 # User passed in just a path to file registry
                 self._registry = get_registry_config_from_type("file")(
-                    path=self._registry_config
+                    path=self.registry_config
                 )
-            elif self._registry_config:
-                self._registry = self._registry_config
+            elif self.registry_config:
+                self._registry = self.registry_config
         return self._registry
 
     @property
     def offline_store(self):
         if not self._offline_store:
-            if isinstance(self._offline_config, Dict):
+            if isinstance(self.offline_config, Dict):
                 self._offline_store = get_offline_config_from_type(
-                    self._offline_config["type"]
-                )(**self._offline_config)
-            elif isinstance(self._offline_config, str):
+                    self.offline_config["type"]
+                )(**self.offline_config)
+            elif isinstance(self.offline_config, str):
                 self._offline_store = get_offline_config_from_type(
-                    self._offline_config
+                    self.offline_config
                 )()
-            elif self._offline_config:
-                self._offline_store = self._offline_config
+            elif self.offline_config:
+                self._offline_store = self.offline_config
         return self._offline_store
 
     @property
     def online_store(self):
         if not self._online_store:
-            if isinstance(self._online_config, Dict):
+            if isinstance(self.online_config, Dict):
                 self._online_store = get_online_config_from_type(
-                    self._online_config["type"]
-                )(**self._online_config)
-            elif isinstance(self._online_config, str):
-                self._online_store = get_online_config_from_type(self._online_config)()
-            elif self._online_config:
-                self._online_store = self._online_config
+                    self.online_config["type"]
+                )(**self.online_config)
+            elif isinstance(self.online_config, str):
+                self._online_store = get_online_config_from_type(self.online_config)()
+            elif self.online_config:
+                self._online_store = self.online_config
 
         return self._online_store
 
     @property
     def batch_engine(self):
         if not self._batch_engine:
-            if isinstance(self._batch_engine_config, Dict):
+            if isinstance(self.batch_engine_config, Dict):
                 self._batch_engine = get_batch_engine_config_from_type(
-                    self._batch_engine_config["type"]
-                )(**self._batch_engine_config)
-            elif isinstance(self._batch_engine_config, str):
+                    self.batch_engine_config["type"]
+                )(**self.batch_engine_config)
+            elif isinstance(self.batch_engine_config, str):
                 self._batch_engine = get_batch_engine_config_from_type(
-                    self._batch_engine_config
+                    self.batch_engine_config
                 )()
-            elif self._batch_engine_config:
+            elif self.batch_engine_config:
                 self._batch_engine = self._batch_engine
 
         return self._batch_engine
 
-    @root_validator(pre=True)
+    @model_validator(mode="before")
     @log_exceptions
-    def _validate_online_store_config(cls, values):
+    def _validate_online_store_config(cls, values: Any) -> Any:
         # This method will validate whether the online store configurations are set correctly. This explicit validation
         # is necessary because Pydantic Unions throw very verbose and cryptic exceptions. We also use this method to
         # impute the default online store type based on the selected provider. For the time being this method should be
@@ -347,14 +348,12 @@ def _validate_online_store_config(cls, values):
             online_config_class = get_online_config_from_type(online_store_type)
             online_config_class(**values["online_store"])
         except ValidationError as e:
-            raise ValidationError(
-                [ErrorWrapper(e, loc="online_store")],
-                model=RepoConfig,
-            )
+            raise e
         return values
 
-    @root_validator(pre=True)
-    def _validate_offline_store_config(cls, values):
+    @model_validator(mode="before")
+    @classmethod
+    def _validate_offline_store_config(cls, values: Any) -> Any:
         # Set empty offline_store config if it isn't set explicitly
         if "offline_store" not in values:
             values["offline_store"] = dict()
@@ -385,15 +384,13 @@ def _validate_offline_store_config(cls, values):
             offline_config_class = get_offline_config_from_type(offline_store_type)
             offline_config_class(**values["offline_store"])
         except ValidationError as e:
-            raise ValidationError(
-                [ErrorWrapper(e, loc="offline_store")],
-                model=RepoConfig,
-            )
+            raise e
 
         return values
 
-    @root_validator(pre=True)
-    def _validate_feature_server_config(cls, values):
+    @model_validator(mode="before")
+    @classmethod
+    def _validate_feature_server_config(cls, values: Any) -> Any:
         # Having no feature server is the default.
         if "feature_server" not in values:
             return values
@@ -420,15 +417,13 @@ def _validate_feature_server_config(cls, values):
             )
             feature_server_config_class(**values["feature_server"])
         except ValidationError as e:
-            raise ValidationError(
-                [ErrorWrapper(e, loc="feature_server")],
-                model=RepoConfig,
-            )
+            raise e
 
         return values
 
-    @validator("project")
-    def _validate_project_name(cls, v):
+    @field_validator("project")
+    @classmethod
+    def _validate_project_name(cls, v: str) -> str:
         from feast.repo_operations import is_valid_name
 
         if not is_valid_name(v):
@@ -438,10 +433,11 @@ def _validate_project_name(cls, v):
             )
         return v
 
-    @validator("flags")
-    def _validate_flags(cls, v):
-        if not isinstance(v, Dict):
-            return
+    @field_validator("flags")
+    @classmethod
+    def _validate_flags(cls, v: Optional[dict]) -> Optional[dict]:
+        if not isinstance(v, dict):
+            return v
 
         _logger.warning(
             "Flags are no longer necessary in Feast. Experimental features will log warnings instead."
@@ -463,8 +459,7 @@ def write_to_path(self, repo_path: Path):
                 sort_keys=False,
             )
 
-    class Config:
-        allow_population_by_field_name = True
+    model_config = ConfigDict(populate_by_name=True)
 
 
 class FeastConfigError(Exception):
diff --git a/sdk/python/feast/repo_contents.py b/sdk/python/feast/repo_contents.py
index fe5cbd284b..33b99f29b2 100644
--- a/sdk/python/feast/repo_contents.py
+++ b/sdk/python/feast/repo_contents.py
@@ -19,7 +19,6 @@
 from feast.feature_view import FeatureView
 from feast.on_demand_feature_view import OnDemandFeatureView
 from feast.protos.feast.core.Registry_pb2 import Registry as RegistryProto
-from feast.request_feature_view import RequestFeatureView
 from feast.stream_feature_view import StreamFeatureView
 
 
@@ -31,7 +30,6 @@ class RepoContents(NamedTuple):
     data_sources: List[DataSource]
     feature_views: List[FeatureView]
     on_demand_feature_views: List[OnDemandFeatureView]
-    request_feature_views: List[RequestFeatureView]
     stream_feature_views: List[StreamFeatureView]
     entities: List[Entity]
     feature_services: List[FeatureService]
@@ -46,9 +44,6 @@ def to_registry_proto(self) -> RegistryProto:
         registry_proto.on_demand_feature_views.extend(
             [fv.to_proto() for fv in self.on_demand_feature_views]
         )
-        registry_proto.request_feature_views.extend(
-            [fv.to_proto() for fv in self.request_feature_views]
-        )
         registry_proto.feature_services.extend(
             [fs.to_proto() for fs in self.feature_services]
         )
diff --git a/sdk/python/feast/repo_operations.py b/sdk/python/feast/repo_operations.py
index 120f6e7a42..0b659b960c 100644
--- a/sdk/python/feast/repo_operations.py
+++ b/sdk/python/feast/repo_operations.py
@@ -29,7 +29,6 @@
 from feast.on_demand_feature_view import OnDemandFeatureView
 from feast.repo_config import RepoConfig
 from feast.repo_contents import RepoContents
-from feast.request_feature_view import RequestFeatureView
 from feast.stream_feature_view import StreamFeatureView
 from feast.usage import log_exceptions_and_usage
 
@@ -114,7 +113,6 @@ def parse_repo(repo_root: Path) -> RepoContents:
         feature_services=[],
         on_demand_feature_views=[],
         stream_feature_views=[],
-        request_feature_views=[],
     )
 
     for repo_file in get_repo_files(repo_root):
@@ -196,10 +194,6 @@ def parse_repo(repo_root: Path) -> RepoContents:
                 (obj is odfv) for odfv in res.on_demand_feature_views
             ):
                 res.on_demand_feature_views.append(obj)
-            elif isinstance(obj, RequestFeatureView) and not any(
-                (obj is rfv) for rfv in res.request_feature_views
-            ):
-                res.request_feature_views.append(obj)
 
     res.entities.append(DUMMY_ENTITY)
     return res
@@ -207,7 +201,6 @@ def parse_repo(repo_root: Path) -> RepoContents:
 
 @log_exceptions_and_usage
 def plan(repo_config: RepoConfig, repo_path: Path, skip_source_validation: bool):
-
     os.chdir(repo_path)
     project, registry, repo, store = _prepare_registry_and_repo(repo_config, repo_path)
 
@@ -250,7 +243,6 @@ def extract_objects_for_apply_delete(project, registry, repo):
         Union[
             Entity,
             FeatureView,
-            RequestFeatureView,
             OnDemandFeatureView,
             StreamFeatureView,
             FeatureService,
@@ -264,7 +256,6 @@ def extract_objects_for_apply_delete(project, registry, repo):
         Union[
             Entity,
             FeatureView,
-            RequestFeatureView,
             OnDemandFeatureView,
             StreamFeatureView,
             FeatureService,
diff --git a/sdk/python/feast/request_feature_view.py b/sdk/python/feast/request_feature_view.py
deleted file mode 100644
index 7248ffe989..0000000000
--- a/sdk/python/feast/request_feature_view.py
+++ /dev/null
@@ -1,137 +0,0 @@
-import copy
-import warnings
-from typing import Dict, List, Optional, Type
-
-from feast.base_feature_view import BaseFeatureView
-from feast.data_source import RequestSource
-from feast.feature_view_projection import FeatureViewProjection
-from feast.field import Field
-from feast.protos.feast.core.RequestFeatureView_pb2 import (
-    RequestFeatureView as RequestFeatureViewProto,
-)
-from feast.protos.feast.core.RequestFeatureView_pb2 import RequestFeatureViewSpec
-from feast.usage import log_exceptions
-
-
-class RequestFeatureView(BaseFeatureView):
-    """
-    [Experimental] A RequestFeatureView defines a logical group of features that should
-    be available as an input to an on demand feature view at request time.
-
-    Attributes:
-        name: The unique name of the request feature view.
-        request_source: The request source that specifies the schema and
-            features of the request feature view.
-        features: The list of features defined as part of this request feature view.
-        description: A human-readable description.
-        tags: A dictionary of key-value pairs to store arbitrary metadata.
-        owner: The owner of the request feature view, typically the email of the primary
-            maintainer.
-    """
-
-    name: str
-    request_source: RequestSource
-    features: List[Field]
-    description: str
-    tags: Dict[str, str]
-    owner: str
-
-    @log_exceptions
-    def __init__(
-        self,
-        name: str,
-        request_data_source: RequestSource,
-        description: str = "",
-        tags: Optional[Dict[str, str]] = None,
-        owner: str = "",
-    ):
-        """
-        Creates a RequestFeatureView object.
-
-        Args:
-            name: The unique name of the request feature view.
-            request_data_source: The request data source that specifies the schema and
-                features of the request feature view.
-            description (optional): A human-readable description.
-            tags (optional): A dictionary of key-value pairs to store arbitrary metadata.
-            owner (optional): The owner of the request feature view, typically the email
-                of the primary maintainer.
-        """
-        warnings.warn(
-            "Request feature view is deprecated. "
-            "Please use request data source instead",
-            DeprecationWarning,
-        )
-
-        if isinstance(request_data_source.schema, Dict):
-            new_features = [
-                Field(name=name, dtype=dtype)
-                for name, dtype in request_data_source.schema.items()
-            ]
-        else:
-            new_features = request_data_source.schema
-
-        super().__init__(
-            name=name,
-            features=new_features,
-            description=description,
-            tags=tags,
-            owner=owner,
-        )
-        self.request_source = request_data_source
-
-    @property
-    def proto_class(self) -> Type[RequestFeatureViewProto]:
-        return RequestFeatureViewProto
-
-    def to_proto(self) -> RequestFeatureViewProto:
-        """
-        Converts an request feature view object to its protobuf representation.
-
-        Returns:
-            A RequestFeatureViewProto protobuf.
-        """
-        spec = RequestFeatureViewSpec(
-            name=self.name,
-            request_data_source=self.request_source.to_proto(),
-            description=self.description,
-            tags=self.tags,
-            owner=self.owner,
-        )
-
-        return RequestFeatureViewProto(spec=spec)
-
-    @classmethod
-    def from_proto(cls, request_feature_view_proto: RequestFeatureViewProto):
-        """
-        Creates a request feature view from a protobuf representation.
-
-        Args:
-            request_feature_view_proto: A protobuf representation of an request feature view.
-
-        Returns:
-            A RequestFeatureView object based on the request feature view protobuf.
-        """
-
-        request_feature_view_obj = cls(
-            name=request_feature_view_proto.spec.name,
-            request_data_source=RequestSource.from_proto(
-                request_feature_view_proto.spec.request_data_source
-            ),
-            description=request_feature_view_proto.spec.description,
-            tags=dict(request_feature_view_proto.spec.tags),
-            owner=request_feature_view_proto.spec.owner,
-        )
-
-        # FeatureViewProjections are not saved in the RequestFeatureView proto.
-        # Create the default projection.
-        request_feature_view_obj.projection = FeatureViewProjection.from_definition(
-            request_feature_view_obj
-        )
-
-        return request_feature_view_obj
-
-    def __copy__(self):
-        fv = RequestFeatureView(name=self.name, request_data_source=self.request_source)
-        fv.projection = copy.copy(self.projection)
-        return fv
diff --git a/sdk/python/feast/stream_feature_view.py b/sdk/python/feast/stream_feature_view.py
index d3a2164788..301cf6cba5 100644
--- a/sdk/python/feast/stream_feature_view.py
+++ b/sdk/python/feast/stream_feature_view.py
@@ -3,9 +3,10 @@
 import warnings
 from datetime import datetime, timedelta
 from types import FunctionType
-from typing import Dict, List, Optional, Tuple, Union
+from typing import Dict, List, Optional, Tuple, Type, Union
 
 import dill
+from google.protobuf.message import Message
 from typeguard import typechecked
 
 from feast import flags_helper, utils
@@ -24,6 +25,13 @@
 from feast.protos.feast.core.StreamFeatureView_pb2 import (
     StreamFeatureViewSpec as StreamFeatureViewSpecProto,
 )
+from feast.protos.feast.core.Transformation_pb2 import (
+    FeatureTransformationV2 as FeatureTransformationProto,
+)
+from feast.protos.feast.core.Transformation_pb2 import (
+    UserDefinedFunctionV2 as UserDefinedFunctionProtoV2,
+)
+from feast.transformation.pandas_transformation import PandasTransformation
 
 warnings.simplefilter("once", RuntimeWarning)
 
@@ -72,6 +80,7 @@ class StreamFeatureView(FeatureView):
     materialization_intervals: List[Tuple[datetime, datetime]]
     udf: Optional[FunctionType]
     udf_string: Optional[str]
+    feature_transformation: Optional[PandasTransformation]
 
     def __init__(
         self,
@@ -90,6 +99,7 @@ def __init__(
         timestamp_field: Optional[str] = "",
         udf: Optional[FunctionType] = None,
         udf_string: Optional[str] = "",
+        feature_transformation: Optional[Union[PandasTransformation]] = None,
     ):
         if not flags_helper.is_test():
             warnings.warn(
@@ -117,6 +127,7 @@ def __init__(
         self.timestamp_field = timestamp_field or ""
         self.udf = udf
         self.udf_string = udf_string
+        self.feature_transformation = feature_transformation
 
         super().__init__(
             name=name,
@@ -170,19 +181,30 @@ def to_proto(self):
             stream_source_proto = self.stream_source.to_proto()
             stream_source_proto.data_source_class_type = f"{self.stream_source.__class__.__module__}.{self.stream_source.__class__.__name__}"
 
-        udf_proto = None
+        udf_proto, feature_transformation = None, None
         if self.udf:
             udf_proto = UserDefinedFunctionProto(
                 name=self.udf.__name__,
                 body=dill.dumps(self.udf, recurse=True),
                 body_text=self.udf_string,
             )
+            udf_proto_v2 = UserDefinedFunctionProtoV2(
+                name=self.udf.__name__,
+                body=dill.dumps(self.udf, recurse=True),
+                body_text=self.udf_string,
+            )
+
+            feature_transformation = FeatureTransformationProto(
+                user_defined_function=udf_proto_v2,
+            )
+
         spec = StreamFeatureViewSpecProto(
             name=self.name,
             entities=self.entities,
             entity_columns=[field.to_proto() for field in self.entity_columns],
             features=[field.to_proto() for field in self.schema],
             user_defined_function=udf_proto,
+            feature_transformation=feature_transformation,
             description=self.description,
             tags=self.tags,
             owner=self.owner,
@@ -219,6 +241,11 @@ def from_proto(cls, sfv_proto):
             if sfv_proto.spec.HasField("user_defined_function")
             else None
         )
+        # feature_transformation = (
+        #     sfv_proto.spec.feature_transformation.user_defined_function.body_text
+        #     if sfv_proto.spec.HasField("feature_transformation")
+        #     else None
+        # )
         stream_feature_view = cls(
             name=sfv_proto.spec.name,
             description=sfv_proto.spec.description,
@@ -237,6 +264,9 @@ def from_proto(cls, sfv_proto):
             mode=sfv_proto.spec.mode,
             udf=udf,
             udf_string=udf_string,
+            feature_transformation=PandasTransformation(udf, udf_string)
+            if udf
+            else None,
             aggregations=[
                 Aggregation.from_proto(agg_proto)
                 for agg_proto in sfv_proto.spec.aggregations
@@ -283,7 +313,6 @@ def __copy__(self):
         fv = StreamFeatureView(
             name=self.name,
             schema=self.schema,
-            entities=self.entities,
             ttl=self.ttl,
             tags=self.tags,
             online=self.online,
@@ -292,12 +321,20 @@ def __copy__(self):
             aggregations=self.aggregations,
             mode=self.mode,
             timestamp_field=self.timestamp_field,
-            source=self.source,
+            source=self.stream_source if self.stream_source else self.batch_source,
             udf=self.udf,
+            feature_transformation=self.feature_transformation,
         )
+        fv.entities = self.entities
+        fv.features = copy.copy(self.features)
+        fv.entity_columns = copy.copy(self.entity_columns)
         fv.projection = copy.copy(self.projection)
         return fv
 
+    @property
+    def proto_class(self) -> Type[Message]:
+        return StreamFeatureViewProto
+
 
 def stream_feature_view(
     *,
@@ -336,6 +373,7 @@ def decorator(user_function):
             schema=schema,
             udf=user_function,
             udf_string=udf_string,
+            feature_transformation=PandasTransformation(user_function, udf_string),
             description=description,
             tags=tags,
             online=online,
diff --git a/sdk/python/feast/templates/athena/feature_repo/test_workflow.py b/sdk/python/feast/templates/athena/feature_repo/test_workflow.py
index bf69a4bff0..8d6479da80 100644
--- a/sdk/python/feast/templates/athena/feature_repo/test_workflow.py
+++ b/sdk/python/feast/templates/athena/feature_repo/test_workflow.py
@@ -11,9 +11,7 @@
 
 
 def test_end_to_end():
-
     try:
-
         # Before running this test method
         # 1. Upload the driver_stats.parquet file to your S3 bucket.
         # (https://github.com/feast-dev/feast-custom-offline-store-demo/tree/main/feature_repo/data)
diff --git a/sdk/python/feast/templates/snowflake/bootstrap.py b/sdk/python/feast/templates/snowflake/bootstrap.py
index 01f4045fe7..2224dc5359 100644
--- a/sdk/python/feast/templates/snowflake/bootstrap.py
+++ b/sdk/python/feast/templates/snowflake/bootstrap.py
@@ -55,7 +55,6 @@ def bootstrap():
         f'Should I upload example data to Snowflake (overwriting "{project_name}_feast_driver_hourly_stats" table)?',
         default=True,
     ):
-
         snowflake_conn = snowflake.connector.connect(
             account=snowflake_deployment_url,
             user=snowflake_user,
diff --git a/sdk/python/feast/templates/spark/feature_repo/feature_store.yaml b/sdk/python/feast/templates/spark/feature_repo/feature_store.yaml
index f72c7c65f4..08383a29e1 100644
--- a/sdk/python/feast/templates/spark/feature_repo/feature_store.yaml
+++ b/sdk/python/feast/templates/spark/feature_repo/feature_store.yaml
@@ -12,6 +12,8 @@ offline_store:
     spark.sql.catalogImplementation: "hive"
     spark.sql.parser.quotedRegexColumnNames: "true"
     spark.sql.session.timeZone: "UTC"
+    spark.sql.execution.arrow.fallback.enabled: "true"
+    spark.sql.execution.arrow.pyspark.enabled: "true"
 online_store:
   path: data/online_store.db
 entity_key_serialization_version: 2
diff --git a/sdk/python/feast/transformation/__init__.py b/sdk/python/feast/transformation/__init__.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/sdk/python/feast/transformation/pandas_transformation.py b/sdk/python/feast/transformation/pandas_transformation.py
new file mode 100644
index 0000000000..28f3c22b9f
--- /dev/null
+++ b/sdk/python/feast/transformation/pandas_transformation.py
@@ -0,0 +1,96 @@
+from types import FunctionType
+from typing import Any, Dict, List
+
+import dill
+import pandas as pd
+import pyarrow
+
+from feast.field import Field, from_value_type
+from feast.protos.feast.core.Transformation_pb2 import (
+    UserDefinedFunctionV2 as UserDefinedFunctionProto,
+)
+from feast.type_map import (
+    python_type_to_feast_value_type,
+)
+
+
+class PandasTransformation:
+    def __init__(self, udf: FunctionType, udf_string: str = ""):
+        """
+        Creates an PandasTransformation object.
+
+        Args:
+            udf: The user defined transformation function, which must take pandas
+                dataframes as inputs.
+            udf_string: The source code version of the udf (for diffing and displaying in Web UI)
+        """
+        self.udf = udf
+        self.udf_string = udf_string
+
+    def transform_arrow(self, pa_table: pyarrow.Table) -> pyarrow.Table:
+        if not isinstance(pa_table, pyarrow.Table):
+            raise TypeError(
+                f"pa_table should be type pyarrow.Table but got {type(pa_table).__name__}"
+            )
+        output_df = self.udf.__call__(pa_table.to_pandas())
+        output_df = pyarrow.Table.from_pandas(output_df)
+        if not isinstance(output_df, pyarrow.Table):
+            raise TypeError(
+                f"output_df should be type pyarrow.Table but got {type(output_df).__name__}"
+            )
+        return output_df
+
+    def transform(self, input_df: pd.DataFrame) -> pd.DataFrame:
+        if not isinstance(input_df, pd.DataFrame):
+            raise TypeError(
+                f"input_df should be type pd.DataFrame but got {type(input_df).__name__}"
+            )
+        output_df = self.udf.__call__(input_df)
+        if not isinstance(output_df, pd.DataFrame):
+            raise TypeError(
+                f"output_df should be type pd.DataFrame but got {type(output_df).__name__}"
+            )
+        return output_df
+
+    def infer_features(self, random_input: Dict[str, List[Any]]) -> List[Field]:
+        df = pd.DataFrame.from_dict(random_input)
+
+        output_df: pd.DataFrame = self.transform(df)
+
+        return [
+            Field(
+                name=f,
+                dtype=from_value_type(
+                    python_type_to_feast_value_type(f, type_name=str(dt))
+                ),
+            )
+            for f, dt in zip(output_df.columns, output_df.dtypes)
+        ]
+
+    def __eq__(self, other):
+        if not isinstance(other, PandasTransformation):
+            raise TypeError(
+                "Comparisons should only involve PandasTransformation class objects."
+            )
+
+        if (
+            self.udf_string != other.udf_string
+            or self.udf.__code__.co_code != other.udf.__code__.co_code
+        ):
+            return False
+
+        return True
+
+    def to_proto(self) -> UserDefinedFunctionProto:
+        return UserDefinedFunctionProto(
+            name=self.udf.__name__,
+            body=dill.dumps(self.udf, recurse=True),
+            body_text=self.udf_string,
+        )
+
+    @classmethod
+    def from_proto(cls, user_defined_function_proto: UserDefinedFunctionProto):
+        return PandasTransformation(
+            udf=dill.loads(user_defined_function_proto.body),
+            udf_string=user_defined_function_proto.body_text,
+        )
diff --git a/sdk/python/feast/transformation/python_transformation.py b/sdk/python/feast/transformation/python_transformation.py
new file mode 100644
index 0000000000..1245fc52ed
--- /dev/null
+++ b/sdk/python/feast/transformation/python_transformation.py
@@ -0,0 +1,88 @@
+from types import FunctionType
+from typing import Any, Dict, List
+
+import dill
+import pyarrow
+
+from feast.field import Field, from_value_type
+from feast.protos.feast.core.Transformation_pb2 import (
+    UserDefinedFunctionV2 as UserDefinedFunctionProto,
+)
+from feast.type_map import (
+    python_type_to_feast_value_type,
+)
+
+
+class PythonTransformation:
+    def __init__(self, udf: FunctionType, udf_string: str = ""):
+        """
+        Creates an PythonTransformation object.
+        Args:
+            udf: The user defined transformation function, which must take pandas
+                dataframes as inputs.
+            udf_string: The source code version of the udf (for diffing and displaying in Web UI)
+        """
+        self.udf = udf
+        self.udf_string = udf_string
+
+    def transform_arrow(self, pa_table: pyarrow.Table) -> pyarrow.Table:
+        raise Exception(
+            'OnDemandFeatureView mode "python" not supported for offline processing.'
+        )
+
+    def transform(self, input_dict: Dict) -> Dict:
+        if not isinstance(input_dict, Dict):
+            raise TypeError(
+                f"input_dict should be type Dict[str, Any] but got {type(input_dict).__name__}"
+            )
+        # Ensuring that the inputs are included as well
+        output_dict = self.udf.__call__(input_dict)
+        if not isinstance(output_dict, Dict):
+            raise TypeError(
+                f"output_dict should be type Dict[str, Any] but got {type(output_dict).__name__}"
+            )
+        return {**input_dict, **output_dict}
+
+    def infer_features(self, random_input: Dict[str, List[Any]]) -> List[Field]:
+        output_dict: Dict[str, List[Any]] = self.transform(random_input)
+
+        return [
+            Field(
+                name=f,
+                dtype=from_value_type(
+                    python_type_to_feast_value_type(f, type_name=type(dt[0]).__name__)
+                ),
+            )
+            for f, dt in output_dict.items()
+        ]
+
+    def __eq__(self, other):
+        if not isinstance(other, PythonTransformation):
+            raise TypeError(
+                "Comparisons should only involve PythonTransformation class objects."
+            )
+
+        if not super().__eq__(other):
+            return False
+
+        if (
+            self.udf_string != other.udf_string
+            or self.udf.__code__.co_code != other.udf.__code__.co_code
+        ):
+            return False
+
+        return True
+
+    def to_proto(self) -> UserDefinedFunctionProto:
+        return UserDefinedFunctionProto(
+            name=self.udf.__name__,
+            body=dill.dumps(self.udf, recurse=True),
+            body_text=self.udf_string,
+        )
+
+    @classmethod
+    def from_proto(cls, user_defined_function_proto: UserDefinedFunctionProto):
+        return PythonTransformation(
+            udf=dill.loads(user_defined_function_proto.body),
+            udf_string=user_defined_function_proto.body_text,
+        )
diff --git a/sdk/python/feast/transformation/substrait_transformation.py b/sdk/python/feast/transformation/substrait_transformation.py
new file mode 100644
index 0000000000..a816f8118a
--- /dev/null
+++ b/sdk/python/feast/transformation/substrait_transformation.py
@@ -0,0 +1,112 @@
+from typing import Any, Dict, List
+
+import pandas as pd
+import pyarrow
+import pyarrow.substrait as substrait  # type: ignore # noqa
+
+from feast.feature_view import FeatureView
+from feast.field import Field, from_value_type
+from feast.protos.feast.core.Transformation_pb2 import (
+    SubstraitTransformationV2 as SubstraitTransformationProto,
+)
+from feast.type_map import (
+    feast_value_type_to_pandas_type,
+    python_type_to_feast_value_type,
+)
+
+
+class SubstraitTransformation:
+    def __init__(self, substrait_plan: bytes):
+        """
+        Creates an SubstraitTransformation object.
+
+        Args:
+            substrait_plan: The user-provided substrait plan.
+        """
+        self.substrait_plan = substrait_plan
+
+    def transform(self, df: pd.DataFrame) -> pd.DataFrame:
+        def table_provider(names, schema: pyarrow.Schema):
+            return pyarrow.Table.from_pandas(df[schema.names])
+
+        table: pyarrow.Table = pyarrow.substrait.run_query(
+            self.substrait_plan, table_provider=table_provider
+        ).read_all()
+        return table.to_pandas()
+
+    def transform_arrow(self, pa_table: pyarrow.Table) -> pyarrow.Table:
+        def table_provider(names, schema: pyarrow.Schema):
+            return pa_table.select(schema.names)
+
+        table: pyarrow.Table = pyarrow.substrait.run_query(
+            self.substrait_plan, table_provider=table_provider
+        ).read_all()
+        return table
+
+    def infer_features(self, random_input: Dict[str, List[Any]]) -> List[Field]:
+        df = pd.DataFrame.from_dict(random_input)
+        output_df: pd.DataFrame = self.transform(df)
+
+        return [
+            Field(
+                name=f,
+                dtype=from_value_type(
+                    python_type_to_feast_value_type(f, type_name=str(dt))
+                ),
+            )
+            for f, dt in zip(output_df.columns, output_df.dtypes)
+        ]
+
+    def __eq__(self, other):
+        if not isinstance(other, SubstraitTransformation):
+            raise TypeError(
+                "Comparisons should only involve SubstraitTransformation class objects."
+            )
+
+        if not super().__eq__(other):
+            return False
+
+        return self.substrait_plan == other.substrait_plan
+
+    def to_proto(self) -> SubstraitTransformationProto:
+        return SubstraitTransformationProto(substrait_plan=self.substrait_plan)
+
+    @classmethod
+    def from_proto(
+        cls,
+        substrait_transformation_proto: SubstraitTransformationProto,
+    ):
+        return SubstraitTransformation(
+            substrait_plan=substrait_transformation_proto.substrait_plan
+        )
+
+    @classmethod
+    def from_ibis(cls, user_function, sources):
+        import ibis
+        import ibis.expr.datatypes as dt
+        from ibis_substrait.compiler.core import SubstraitCompiler
+
+        compiler = SubstraitCompiler()
+
+        input_fields = []
+
+        for s in sources:
+            fields = s.projection.features if isinstance(s, FeatureView) else s.features
+
+            input_fields.extend(
+                [
+                    (
+                        f.name,
+                        dt.dtype(
+                            feast_value_type_to_pandas_type(f.dtype.to_value_type())
+                        ),
+                    )
+                    for f in fields
+                ]
+            )
+
+        expr = user_function(ibis.table(input_fields, "t"))
+
+        return SubstraitTransformation(
+            substrait_plan=compiler.compile(expr).SerializeToString()
+        )
diff --git a/sdk/python/feast/transformation_server.py b/sdk/python/feast/transformation_server.py
index 83f4af749e..34fe3eac76 100644
--- a/sdk/python/feast/transformation_server.py
+++ b/sdk/python/feast/transformation_server.py
@@ -47,6 +47,11 @@ def TransformFeatures(self, request, context):
 
         df = pa.ipc.open_file(request.transformation_input.arrow_value).read_pandas()
 
+        if odfv.mode != "pandas":
+            raise Exception(
+                f'OnDemandFeatureView mode "{odfv.mode}" not supported by TransformationServer.'
+            )
+
         result_df = odfv.get_transformed_features_df(df, True)
         result_arrow = pa.Table.from_pandas(result_df)
         sink = pa.BufferOutputStream()
diff --git a/sdk/python/feast/type_map.py b/sdk/python/feast/type_map.py
index cdb65f886e..e7fdf97120 100644
--- a/sdk/python/feast/type_map.py
+++ b/sdk/python/feast/type_map.py
@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import json
 from collections import defaultdict
 from datetime import datetime, timezone
 from typing import (
@@ -50,7 +51,7 @@
     import pyarrow
 
 # null timestamps get converted to -9223372036854775808
-NULL_TIMESTAMP_INT_VALUE = np.datetime64("NaT").astype(int)
+NULL_TIMESTAMP_INT_VALUE: int = np.datetime64("NaT").astype(int)
 
 
 def feast_value_type_to_python_type(field_value_proto: ProtoValue) -> Any:
@@ -113,7 +114,10 @@ def feast_value_type_to_pandas_type(value_type: ValueType) -> Any:
 
 
 def python_type_to_feast_value_type(
-    name: str, value: Any = None, recurse: bool = True, type_name: Optional[str] = None
+    name: str,
+    value: Optional[Any] = None,
+    recurse: bool = True,
+    type_name: Optional[str] = None,
 ) -> ValueType:
     """
     Finds the equivalent Feast Value Type for a Python value. Both native
@@ -297,7 +301,7 @@ def _type_err(item, dtype):
         None,
     ),
     ValueType.FLOAT: ("float_val", lambda x: float(x), None),
-    ValueType.DOUBLE: ("double_val", lambda x: x, {float, np.float64}),
+    ValueType.DOUBLE: ("double_val", lambda x: x, {float, np.float64, int, np.int_}),
     ValueType.STRING: ("string_val", lambda x: str(x), None),
     ValueType.BYTES: ("bytes_val", lambda x: x, {bytes}),
     ValueType.BOOL: ("bool_val", lambda x: x, {bool, np.bool_, int, np.int_}),
@@ -320,7 +324,7 @@ def _python_datetime_to_int_timestamp(
         elif isinstance(value, Timestamp):
             int_timestamps.append(int(value.ToSeconds()))
         elif isinstance(value, np.datetime64):
-            int_timestamps.append(value.astype("datetime64[s]").astype(np.int_))
+            int_timestamps.append(value.astype("datetime64[s]").astype(np.int_))  # type: ignore[attr-defined]
         elif isinstance(value, type(np.nan)):
             int_timestamps.append(NULL_TIMESTAMP_INT_VALUE)
         else:
@@ -353,6 +357,19 @@ def _python_value_to_proto_value(
                 feast_value_type
             ]
 
+            # Bytes to array type conversion
+            if isinstance(sample, (bytes, bytearray)):
+                # Bytes of an array containing elements of bytes not supported
+                if feast_value_type == ValueType.BYTES_LIST:
+                    raise _type_err(sample, ValueType.BYTES_LIST)
+
+                json_value = json.loads(sample)
+                if isinstance(json_value, list):
+                    if feast_value_type == ValueType.BOOL_LIST:
+                        json_value = [bool(item) for item in json_value]
+                    return [ProtoValue(**{field_name: proto_type(val=json_value)})]  # type: ignore
+                raise _type_err(sample, valid_types[0])
+
             if sample is not None and not all(
                 type(item) in valid_types for item in sample
             ):
@@ -631,6 +648,7 @@ def redshift_to_feast_value_type(redshift_type_as_str: str) -> ValueType:
         "varchar": ValueType.STRING,
         "timestamp": ValueType.UNIX_TIMESTAMP,
         "timestamptz": ValueType.UNIX_TIMESTAMP,
+        "super": ValueType.BYTES,
         # skip date, geometry, hllsketch, time, timetz
     }
 
@@ -665,6 +683,14 @@ def _convert_value_name_to_snowflake_udf(value_name: str, project_name: str) ->
         "FLOAT": f"feast_{project_name}_snowflake_float_to_double_proto",
         "BOOL": f"feast_{project_name}_snowflake_boolean_to_bool_proto",
         "UNIX_TIMESTAMP": f"feast_{project_name}_snowflake_timestamp_to_unix_timestamp_proto",
+        "BYTES_LIST": f"feast_{project_name}_snowflake_array_bytes_to_list_bytes_proto",
+        "STRING_LIST": f"feast_{project_name}_snowflake_array_varchar_to_list_string_proto",
+        "INT32_LIST": f"feast_{project_name}_snowflake_array_number_to_list_int32_proto",
+        "INT64_LIST": f"feast_{project_name}_snowflake_array_number_to_list_int64_proto",
+        "DOUBLE_LIST": f"feast_{project_name}_snowflake_array_float_to_list_double_proto",
+        "FLOAT_LIST": f"feast_{project_name}_snowflake_array_float_to_list_double_proto",
+        "BOOL_LIST": f"feast_{project_name}_snowflake_array_boolean_to_list_bool_proto",
+        "UNIX_TIMESTAMP_LIST": f"feast_{project_name}_snowflake_array_timestamp_to_list_unix_timestamp_proto",
     }
     return name_map[value_name].upper()
 
@@ -726,7 +752,7 @@ def _non_empty_value(value: Any) -> bool:
 
 def spark_to_feast_value_type(spark_type_as_str: str) -> ValueType:
     # TODO not all spark types are convertible
-    # Current non-convertible types: interval, map, struct, structfield, decimal, binary
+    # Current non-convertible types: interval, map, struct, structfield, binary
     type_map: Dict[str, ValueType] = {
         "null": ValueType.UNKNOWN,
         "byte": ValueType.BYTES,
@@ -736,6 +762,7 @@ def spark_to_feast_value_type(spark_type_as_str: str) -> ValueType:
         "bigint": ValueType.INT64,
         "long": ValueType.INT64,
         "double": ValueType.DOUBLE,
+        "decimal": ValueType.DOUBLE,
         "float": ValueType.FLOAT,
         "boolean": ValueType.BOOL,
         "timestamp": ValueType.UNIX_TIMESTAMP,
@@ -744,10 +771,15 @@ def spark_to_feast_value_type(spark_type_as_str: str) -> ValueType:
         "array<int>": ValueType.INT32_LIST,
         "array<bigint>": ValueType.INT64_LIST,
         "array<double>": ValueType.DOUBLE_LIST,
+        "array<decimal>": ValueType.DOUBLE_LIST,
         "array<float>": ValueType.FLOAT_LIST,
         "array<boolean>": ValueType.BOOL_LIST,
         "array<timestamp>": ValueType.UNIX_TIMESTAMP_LIST,
     }
+    if spark_type_as_str.startswith("decimal"):
+        spark_type_as_str = "decimal"
+    if spark_type_as_str.startswith("array<decimal"):
+        spark_type_as_str = "array<decimal>"
     # TODO: Find better way of doing this.
     if not isinstance(spark_type_as_str, str) or spark_type_as_str not in type_map:
         return ValueType.NULL
diff --git a/sdk/python/feast/types.py b/sdk/python/feast/types.py
index 0ba1725f17..4b07c58d19 100644
--- a/sdk/python/feast/types.py
+++ b/sdk/python/feast/types.py
@@ -50,7 +50,10 @@ def __hash__(self):
         return hash(self.to_value_type().value)
 
     def __eq__(self, other):
-        return self.to_value_type() == other.to_value_type()
+        if isinstance(other, ComplexFeastType):
+            return self.to_value_type() == other.to_value_type()
+        else:
+            return False
 
 
 class PrimitiveFeastType(Enum):
diff --git a/sdk/python/feast/ui/package.json b/sdk/python/feast/ui/package.json
index 1d2951cf57..5ba6777007 100644
--- a/sdk/python/feast/ui/package.json
+++ b/sdk/python/feast/ui/package.json
@@ -6,7 +6,7 @@
     "@elastic/datemath": "^5.0.3",
     "@elastic/eui": "^55.0.1",
     "@emotion/react": "^11.9.0",
-    "@feast-dev/feast-ui": "0.35.0",
+    "@feast-dev/feast-ui": "0.36.0",
     "@testing-library/jest-dom": "^5.16.4",
     "@testing-library/react": "^13.2.0",
     "@testing-library/user-event": "^13.5.0",
@@ -24,7 +24,7 @@
     "typescript": "^4.6.4",
     "use-query-params": "^1.2.3",
     "web-vitals": "^2.1.4",
-    "zod": "^3.15.1"
+    "zod": "^3.22.3"
   },
   "scripts": {
     "start": "react-scripts start",
diff --git a/sdk/python/feast/ui/yarn.lock b/sdk/python/feast/ui/yarn.lock
index 4d6f690b94..0db6b68e24 100644
--- a/sdk/python/feast/ui/yarn.lock
+++ b/sdk/python/feast/ui/yarn.lock
@@ -1451,10 +1451,10 @@
     minimatch "^3.1.2"
     strip-json-comments "^3.1.1"
 
-"@feast-dev/feast-ui@0.35.0":
-  version "0.35.0"
-  resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.35.0.tgz#f28eb82ae4855673230f14e3740a7786f545fdd7"
-  integrity sha512-t0Rd2TWUMim6ITfVVlQU8aBZboLvxla6Z7udGW+tQ3UUGcq1VbM6/y+GobuYQfbdHHeF2GmlYqp6zw5DuoIM+Q==
+"@feast-dev/feast-ui@0.36.0":
+  version "0.36.0"
+  resolved "https://registry.yarnpkg.com/@feast-dev/feast-ui/-/feast-ui-0.36.0.tgz#b8cdc5f3e959fa2c787e2f1839aaaec99c739d65"
+  integrity sha512-R+F1cQI89Nrw64GnePENYMRLcSb6DH24zs5aO57ovGbFQquR0vqJ6UfqjhLlIQpkEE6quV2Zr3QOwVB1GBVL1g==
   dependencies:
     "@elastic/datemath" "^5.0.3"
     "@elastic/eui" "^55.0.1"
@@ -3511,21 +3511,21 @@ bluebird@^3.5.5:
   resolved "https://registry.yarnpkg.com/bluebird/-/bluebird-3.7.2.tgz#9f229c15be272454ffa973ace0dbee79a1b0c36f"
   integrity sha512-XpNj6GDQzdfW+r2Wnn7xiSAd7TM3jzkxGXBGTtWKuSXv1xUV+azxAm8jdWZN06QTQk+2N2XB9jRDkvbmQmcRtg==
 
-body-parser@1.20.0:
-  version "1.20.0"
-  resolved "https://registry.yarnpkg.com/body-parser/-/body-parser-1.20.0.tgz#3de69bd89011c11573d7bfee6a64f11b6bd27cc5"
-  integrity sha512-DfJ+q6EPcGKZD1QWUjSpqp+Q7bDQTsQIF4zfUAtZ6qk+H/3/QRhg9CEp39ss+/T2vw0+HaidC0ecJj/DRLIaKg==
+body-parser@1.20.2:
+  version "1.20.2"
+  resolved "https://registry.yarnpkg.com/body-parser/-/body-parser-1.20.2.tgz#6feb0e21c4724d06de7ff38da36dad4f57a747fd"
+  integrity sha512-ml9pReCu3M61kGlqoTm2umSXTlRTuGTx0bfYj+uIUKKYycG5NtSbeetV3faSU6R7ajOPw0g/J1PvK4qNy7s5bA==
   dependencies:
     bytes "3.1.2"
-    content-type "~1.0.4"
+    content-type "~1.0.5"
     debug "2.6.9"
     depd "2.0.0"
     destroy "1.2.0"
     http-errors "2.0.0"
     iconv-lite "0.4.24"
     on-finished "2.4.1"
-    qs "6.10.3"
-    raw-body "2.5.1"
+    qs "6.11.0"
+    raw-body "2.5.2"
     type-is "~1.6.18"
     unpipe "1.0.0"
 
@@ -3966,6 +3966,11 @@ content-type@~1.0.4:
   resolved "https://registry.yarnpkg.com/content-type/-/content-type-1.0.4.tgz#e138cc75e040c727b1966fe5e5f8c9aee256fe3b"
   integrity sha512-hIP3EEPs8tB9AT1L+NUqtwOAps4mk2Zob89MWXMHjHWg9milF/j4osnnQLXBCBFBk/tvIG/tUc9mOUJiPBhPXA==
 
+content-type@~1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/content-type/-/content-type-1.0.5.tgz#8b773162656d1d1086784c8f23a54ce6d73d7918"
+  integrity sha512-nTjqfcBFEipKdXCv4YDQWCfmcLZKm81ldF0pAopTvyrFGVbcR6P/VAAd5G7N+0tTr8QqiU0tFadD6FK4NtJwOA==
+
 convert-source-map@^1.4.0, convert-source-map@^1.5.0, convert-source-map@^1.6.0, convert-source-map@^1.7.0:
   version "1.8.0"
   resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-1.8.0.tgz#f3373c32d21b4d780dd8004514684fb791ca4369"
@@ -3978,10 +3983,10 @@ cookie-signature@1.0.6:
   resolved "https://registry.yarnpkg.com/cookie-signature/-/cookie-signature-1.0.6.tgz#e303a882b342cc3ee8ca513a79999734dab3ae2c"
   integrity sha1-4wOogrNCzD7oylE6eZmXNNqzriw=
 
-cookie@0.5.0:
-  version "0.5.0"
-  resolved "https://registry.yarnpkg.com/cookie/-/cookie-0.5.0.tgz#d1f5d71adec6558c58f389987c366aa47e994f8b"
-  integrity sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==
+cookie@0.6.0:
+  version "0.6.0"
+  resolved "https://registry.yarnpkg.com/cookie/-/cookie-0.6.0.tgz#2798b04b071b0ecbff0dbb62a505a8efa4e19051"
+  integrity sha512-U71cyTamuh1CRNCfpGY6to28lxvNwPG4Guz/EVjgf3Jmzv0vlDp1atT9eS5dDjMYHucpHbWns6Lwf3BKz6svdw==
 
 core-js-compat@^3.21.0, core-js-compat@^3.22.1:
   version "3.22.5"
@@ -5266,16 +5271,16 @@ expect@^27.5.1:
     jest-message-util "^27.5.1"
 
 express@^4.17.3:
-  version "4.18.1"
-  resolved "https://registry.yarnpkg.com/express/-/express-4.18.1.tgz#7797de8b9c72c857b9cd0e14a5eea80666267caf"
-  integrity sha512-zZBcOX9TfehHQhtupq57OF8lFZ3UZi08Y97dwFCkD8p9d/d2Y3M+ykKcwaMDEL+4qyUolgBDX6AblpR3fL212Q==
+  version "4.19.2"
+  resolved "https://registry.yarnpkg.com/express/-/express-4.19.2.tgz#e25437827a3aa7f2a827bc8171bbbb664a356465"
+  integrity sha512-5T6nhjsT+EOMzuck8JjBHARTHfMht0POzlA60WV2pMD3gyXw2LZnZ+ueGdNxG+0calOJcWKbpFcuzLZ91YWq9Q==
   dependencies:
     accepts "~1.3.8"
     array-flatten "1.1.1"
-    body-parser "1.20.0"
+    body-parser "1.20.2"
     content-disposition "0.5.4"
     content-type "~1.0.4"
-    cookie "0.5.0"
+    cookie "0.6.0"
     cookie-signature "1.0.6"
     debug "2.6.9"
     depd "2.0.0"
@@ -5291,7 +5296,7 @@ express@^4.17.3:
     parseurl "~1.3.3"
     path-to-regexp "0.1.7"
     proxy-addr "~2.0.7"
-    qs "6.10.3"
+    qs "6.11.0"
     range-parser "~1.2.1"
     safe-buffer "5.2.1"
     send "0.18.0"
@@ -8591,10 +8596,10 @@ q@^1.1.2:
   resolved "https://registry.yarnpkg.com/q/-/q-1.5.1.tgz#7e32f75b41381291d04611f1bf14109ac00651d7"
   integrity sha1-fjL3W0E4EpHQRhHxvxQQmsAGUdc=
 
-qs@6.10.3:
-  version "6.10.3"
-  resolved "https://registry.yarnpkg.com/qs/-/qs-6.10.3.tgz#d6cde1b2ffca87b5aa57889816c5f81535e22e8e"
-  integrity sha512-wr7M2E0OFRfIfJZjKGieI8lBKb7fRCH4Fv5KNPEs7gJ8jadvotdsS08PzOKR7opXhZ/Xkjtt3WF9g38drmyRqQ==
+qs@6.11.0:
+  version "6.11.0"
+  resolved "https://registry.yarnpkg.com/qs/-/qs-6.11.0.tgz#fd0d963446f7a65e1367e01abd85429453f0c37a"
+  integrity sha512-MvjoMCJwEarSbUYk5O+nmoSzSutSsTwF85zcHPQ9OrlFoZOYIjaqBAJIqIXjptyD5vThxGq52Xu/MaJzRkIk4Q==
   dependencies:
     side-channel "^1.0.4"
 
@@ -8647,10 +8652,10 @@ range-parser@^1.2.1, range-parser@~1.2.1:
   resolved "https://registry.yarnpkg.com/range-parser/-/range-parser-1.2.1.tgz#3cf37023d199e1c24d1a55b84800c2f3e6468031"
   integrity sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg==
 
-raw-body@2.5.1:
-  version "2.5.1"
-  resolved "https://registry.yarnpkg.com/raw-body/-/raw-body-2.5.1.tgz#fe1b1628b181b700215e5fd42389f98b71392857"
-  integrity sha512-qqJBtEyVgS0ZmPGdCFPWJ3FreoqvG4MVQln/kCgF7Olq95IbOp0/BWyMwbdtn4VTvkM8Y7khCQ2Xgk/tcrCXig==
+raw-body@2.5.2:
+  version "2.5.2"
+  resolved "https://registry.yarnpkg.com/raw-body/-/raw-body-2.5.2.tgz#99febd83b90e08975087e8f1f9419a149366b68a"
+  integrity sha512-8zGqypfENjCIqGhgXToC8aB2r7YrBX+AQAfIPs/Mlk+BtPTztOvTS01NRW/3Eh60J+a48lt8qsCzirQ6loCVfA==
   dependencies:
     bytes "3.1.2"
     http-errors "2.0.0"
@@ -11022,10 +11027,10 @@ yocto-queue@^0.1.0:
   resolved "https://registry.yarnpkg.com/yocto-queue/-/yocto-queue-0.1.0.tgz#0294eb3dee05028d31ee1a5fa2c556a6aaf10a1b"
   integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==
 
-zod@^3.11.6, zod@^3.15.1:
-  version "3.15.1"
-  resolved "https://registry.yarnpkg.com/zod/-/zod-3.15.1.tgz#9e404cd8002ccffb03baa94cff2e1638ed49d82f"
-  integrity sha512-WAdjcoOxa4S9oc/u7fTbC3CC7uVqptLLU0LKqS8RDBOrCXp2t5avM8BUfgNVZJymGWAx6SEUYxWPPoYuQ5rgwQ==
+zod@^3.11.6, zod@^3.22.3:
+  version "3.22.3"
+  resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.3.tgz#2fbc96118b174290d94e8896371c95629e87a060"
+  integrity sha512-EjIevzuJRiRPbVH4mGc8nApb/lVLKVpmUhAaR5R5doKGfAnGJ6Gr3CViAVjP+4FWSxCsybeWQdcgCtbX+7oZug==
 
 zwitch@^1.0.0:
   version "1.0.5"
diff --git a/sdk/python/feast/usage.py b/sdk/python/feast/usage.py
index 18bb497182..faf734cf01 100644
--- a/sdk/python/feast/usage.py
+++ b/sdk/python/feast/usage.py
@@ -30,15 +30,17 @@
 import requests
 
 from feast import flags_helper
-from feast.constants import DEFAULT_FEAST_USAGE_VALUE, FEAST_USAGE
+from feast.constants import FEAST_USAGE, FEAST_USAGE_ENDPOINT
 from feast.version import get_version
 
-USAGE_ENDPOINT = "https://usage.feast.dev"
-
 _logger = logging.getLogger(__name__)
 _executor = concurrent.futures.ThreadPoolExecutor(max_workers=3)
 
-_is_enabled = os.getenv(FEAST_USAGE, default=DEFAULT_FEAST_USAGE_VALUE) == "True"
+_is_enabled = os.getenv(FEAST_USAGE, default="False") == "True"
+
+# Default usage endpoint value.
+# Will raise an exception if the configured value is not working.
+_usage_endpoint = os.getenv(FEAST_USAGE_ENDPOINT, default="")
 
 _constant_attributes = {
     "project_id": "",
@@ -50,7 +52,8 @@
     "env_signature": hashlib.md5(
         ",".join(
             sorted([k for k in os.environ.keys() if not k.startswith("FEAST")])
-        ).encode()
+        ).encode(),
+        usedforsecurity=False,
     ).hexdigest(),
 }
 
@@ -176,7 +179,7 @@ def _set_installation_id():
 
 
 def _export(event: typing.Dict[str, typing.Any]):
-    _executor.submit(requests.post, USAGE_ENDPOINT, json=event, timeout=2)
+    _executor.submit(requests.post, _usage_endpoint, json=event, timeout=2)
 
 
 def _produce_event(ctx: UsageContext):
diff --git a/sdk/python/feast/utils.py b/sdk/python/feast/utils.py
index 50b1e73c86..89a1a9ab41 100644
--- a/sdk/python/feast/utils.py
+++ b/sdk/python/feast/utils.py
@@ -7,7 +7,6 @@
 
 import pandas as pd
 import pyarrow
-from dask import dataframe as dd
 from dateutil.tz import tzlocal
 from pytz import utc
 
@@ -71,9 +70,9 @@ def _get_requested_feature_views_to_features_dict(
     Set full_feature_names to True to have feature names prefixed by their feature view name."""
 
     feature_views_to_feature_map: Dict["FeatureView", List[str]] = defaultdict(list)
-    on_demand_feature_views_to_feature_map: Dict[
-        "OnDemandFeatureView", List[str]
-    ] = defaultdict(list)
+    on_demand_feature_views_to_feature_map: Dict["OnDemandFeatureView", List[str]] = (
+        defaultdict(list)
+    )
 
     for ref in feature_refs:
         ref_parts = ref.split(":")
@@ -174,18 +173,6 @@ def _run_pyarrow_field_mapping(
     return table
 
 
-def _run_dask_field_mapping(
-    table: dd.DataFrame,
-    field_mapping: Dict[str, str],
-):
-    if field_mapping:
-        # run field mapping in the forward direction
-        table = table.rename(columns=field_mapping)
-        table = table.persist()
-
-    return table
-
-
 def _coerce_datetime(ts):
     """
     Depending on underlying time resolution, arrow to_pydict() sometimes returns pd
diff --git a/sdk/python/pyproject.toml b/sdk/python/pyproject.toml
new file mode 100644
index 0000000000..10ad007fa9
--- /dev/null
+++ b/sdk/python/pyproject.toml
@@ -0,0 +1,15 @@
+[tool.ruff]
+exclude = [".git","__pycache__","docs/conf.py","dist","feast/protos","feast/embedded_go/lib","feast/infra/utils/snowflake/snowpark/snowflake_udfs.py"]
+
+[tool.ruff.lint]
+select = ["E","F","W","I"]
+ignore = ["E203", "E266", "E501", "E721"]
+
+[tool.ruff.lint.isort]
+known-first-party = ["feast", "feast", "feast_serving_server", "feast_core_server"]
+default-section = "third-party"
+
+[tool.mypy]
+files = ["feast","tests"]
+ignore_missing_imports = true
+exclude = ["feast/embedded_go/lib"]
diff --git a/sdk/python/pytest.ini b/sdk/python/pytest.ini
index 07a5e869dc..83317d36c9 100644
--- a/sdk/python/pytest.ini
+++ b/sdk/python/pytest.ini
@@ -1,4 +1,8 @@
 [pytest]
 markers =
     universal_offline_stores: mark a test as using all offline stores.
-    universal_online_stores: mark a test as using all online stores.
\ No newline at end of file
+    universal_online_stores: mark a test as using all online stores.
+
+env =
+    FEAST_USAGE=False
+    IS_TEST=True
\ No newline at end of file
diff --git a/sdk/python/requirements/py3.10-ci-requirements.txt b/sdk/python/requirements/py3.10-ci-requirements.txt
index 2cbfa6cbc9..235c4dfb72 100644
--- a/sdk/python/requirements/py3.10-ci-requirements.txt
+++ b/sdk/python/requirements/py3.10-ci-requirements.txt
@@ -4,11 +4,13 @@
 #
 #    pip-compile --extra=ci --output-file=sdk/python/requirements/py3.10-ci-requirements.txt
 #
-alabaster==0.7.13
+alabaster==0.7.16
     # via sphinx
-altair==4.2.0
+altair==4.2.2
     # via great-expectations
-anyio==4.0.0
+annotated-types==0.6.0
+    # via pydantic
+anyio==4.3.0
     # via
     #   httpx
     #   jupyter-server
@@ -16,6 +18,8 @@ anyio==4.0.0
     #   watchfiles
 appdirs==1.4.4
     # via fissix
+appnope==0.1.4
+    # via ipykernel
 argon2-cffi==23.1.0
     # via jupyter-server
 argon2-cffi-bindings==21.2.0
@@ -32,55 +36,55 @@ async-lru==2.0.4
     # via jupyterlab
 async-timeout==4.0.3
     # via redis
-attrs==23.1.0
+atpublic==4.0
+    # via ibis-framework
+attrs==23.2.0
     # via
     #   bowler
     #   jsonschema
     #   referencing
-avro==1.10.0
-    # via feast (setup.py)
-azure-core==1.29.5
+azure-core==1.30.1
     # via
     #   azure-identity
     #   azure-storage-blob
 azure-identity==1.15.0
     # via feast (setup.py)
-azure-storage-blob==12.19.0
+azure-storage-blob==12.19.1
     # via feast (setup.py)
-babel==2.13.1
+babel==2.14.0
     # via
     #   jupyterlab-server
     #   sphinx
-beautifulsoup4==4.12.2
+beautifulsoup4==4.12.3
     # via nbconvert
-black==22.12.0
-    # via feast (setup.py)
+bidict==0.23.1
+    # via ibis-framework
 bleach==6.1.0
     # via nbconvert
-boto3==1.29.2
+boto3==1.34.69
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.32.2
+botocore==1.34.69
     # via
     #   boto3
     #   moto
     #   s3transfer
 bowler==0.9.0
     # via feast (setup.py)
-build==1.0.3
+build==1.1.1
     # via
     #   feast (setup.py)
     #   pip-tools
 bytewax==0.15.1
     # via feast (setup.py)
-cachecontrol==0.13.1
+cachecontrol==0.14.0
     # via firebase-admin
-cachetools==5.3.2
+cachetools==5.3.3
     # via google-auth
-cassandra-driver==3.28.0
+cassandra-driver==3.29.1
     # via feast (setup.py)
-certifi==2023.7.22
+certifi==2024.2.2
     # via
     #   httpcore
     #   httpx
@@ -101,7 +105,6 @@ charset-normalizer==3.3.2
     #   snowflake-connector-python
 click==8.1.7
     # via
-    #   black
     #   bowler
     #   dask
     #   feast (setup.py)
@@ -116,15 +119,13 @@ colorama==0.4.6
     # via
     #   feast (setup.py)
     #   great-expectations
-comm==0.2.0
+comm==0.2.2
     # via
     #   ipykernel
     #   ipywidgets
-coverage[toml]==7.3.2
-    # via
-    #   coverage
-    #   pytest-cov
-cryptography==41.0.5
+coverage[toml]==7.4.4
+    # via pytest-cov
+cryptography==42.0.5
     # via
     #   azure-identity
     #   azure-storage-blob
@@ -137,11 +138,11 @@ cryptography==41.0.5
     #   snowflake-connector-python
     #   types-pyopenssl
     #   types-redis
-dask==2023.11.0
+dask==2024.2.1
     # via feast (setup.py)
-db-dtypes==1.1.1
+db-dtypes==1.2.0
     # via google-cloud-bigquery
-debugpy==1.8.0
+debugpy==1.8.1
     # via ipykernel
 decorator==5.1.1
     # via ipython
@@ -149,22 +150,28 @@ defusedxml==0.7.1
     # via nbconvert
 deprecation==2.1.0
     # via testcontainers
-dill==0.3.7
+dill==0.3.8
     # via
     #   bytewax
     #   feast (setup.py)
     #   multiprocess
-distlib==0.3.7
+distlib==0.3.8
     # via virtualenv
-docker==6.1.3
+docker==7.0.0
     # via
     #   feast (setup.py)
     #   testcontainers
 docutils==0.19
     # via sphinx
+duckdb==0.10.1
+    # via
+    #   duckdb-engine
+    #   ibis-framework
+duckdb-engine==0.11.2
+    # via ibis-framework
 entrypoints==0.4
     # via altair
-exceptiongroup==1.1.3
+exceptiongroup==1.2.0
     # via
     #   anyio
     #   ipython
@@ -173,13 +180,9 @@ execnet==2.0.2
     # via pytest-xdist
 executing==2.0.1
     # via stack-data
-fastapi==0.99.1
+fastapi==0.110.0
     # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
-fastjsonschema==2.19.0
+fastjsonschema==2.19.1
     # via nbformat
 filelock==3.13.1
     # via
@@ -189,11 +192,9 @@ firebase-admin==5.4.0
     # via feast (setup.py)
 fissix==21.11.13
     # via bowler
-flake8==6.0.0
-    # via feast (setup.py)
 fqdn==1.5.1
     # via jsonschema
-fsspec==2023.9.2
+fsspec==2023.12.2
     # via
     #   dask
     #   feast (setup.py)
@@ -201,7 +202,7 @@ geojson==2.5.0
     # via rockset
 geomet==0.2.1.post1
     # via cassandra-driver
-google-api-core[grpc]==2.14.0
+google-api-core[grpc]==2.18.0
     # via
     #   feast (setup.py)
     #   firebase-admin
@@ -213,9 +214,9 @@ google-api-core[grpc]==2.14.0
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-api-python-client==2.108.0
+google-api-python-client==2.123.0
     # via firebase-admin
-google-auth==2.23.4
+google-auth==2.29.0
     # via
     #   google-api-core
     #   google-api-python-client
@@ -223,28 +224,26 @@ google-auth==2.23.4
     #   google-cloud-core
     #   google-cloud-storage
     #   kubernetes
-google-auth-httplib2==0.1.1
+google-auth-httplib2==0.2.0
     # via google-api-python-client
 google-cloud-bigquery[pandas]==3.12.0
-    # via
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-google-cloud-bigquery-storage==2.22.0
     # via feast (setup.py)
-google-cloud-bigtable==2.21.0
+google-cloud-bigquery-storage==2.24.0
+    # via feast (setup.py)
+google-cloud-bigtable==2.23.0
     # via feast (setup.py)
-google-cloud-core==2.3.3
+google-cloud-core==2.4.1
     # via
     #   google-cloud-bigquery
     #   google-cloud-bigtable
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-cloud-datastore==2.18.0
+google-cloud-datastore==2.19.0
     # via feast (setup.py)
-google-cloud-firestore==2.13.1
+google-cloud-firestore==2.15.0
     # via firebase-admin
-google-cloud-storage==2.13.0
+google-cloud-storage==2.16.0
     # via
     #   feast (setup.py)
     #   firebase-admin
@@ -252,23 +251,23 @@ google-crc32c==1.5.0
     # via
     #   google-cloud-storage
     #   google-resumable-media
-google-resumable-media==2.6.0
+google-resumable-media==2.7.0
     # via
     #   google-cloud-bigquery
     #   google-cloud-storage
-googleapis-common-protos[grpc]==1.61.0
+googleapis-common-protos[grpc]==1.63.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   grpc-google-iam-v1
     #   grpcio-status
-great-expectations==0.15.50
+great-expectations==0.18.12
     # via feast (setup.py)
-greenlet==3.0.1
+greenlet==3.0.3
     # via sqlalchemy
-grpc-google-iam-v1==0.12.7
+grpc-google-iam-v1==0.13.0
     # via google-cloud-bigtable
-grpcio==1.59.2
+grpcio==1.62.1
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -280,15 +279,15 @@ grpcio==1.59.2
     #   grpcio-status
     #   grpcio-testing
     #   grpcio-tools
-grpcio-health-checking==1.59.2
+grpcio-health-checking==1.62.1
     # via feast (setup.py)
-grpcio-reflection==1.59.2
+grpcio-reflection==1.62.1
     # via feast (setup.py)
-grpcio-status==1.59.2
+grpcio-status==1.62.1
     # via google-api-core
-grpcio-testing==1.59.2
+grpcio-testing==1.62.1
     # via feast (setup.py)
-grpcio-tools==1.59.2
+grpcio-tools==1.62.1
     # via feast (setup.py)
 gunicorn==21.2.0
     # via feast (setup.py)
@@ -300,9 +299,9 @@ happybase==1.2.0
     # via feast (setup.py)
 hazelcast-python-client==5.3.0
     # via feast (setup.py)
-hiredis==2.2.3
+hiredis==2.3.2
     # via feast (setup.py)
-httpcore==1.0.2
+httpcore==1.0.4
     # via httpx
 httplib2==0.22.0
     # via
@@ -310,11 +309,19 @@ httplib2==0.22.0
     #   google-auth-httplib2
 httptools==0.6.1
     # via uvicorn
-httpx==0.25.1
+httpx==0.27.0
+    # via
+    #   feast (setup.py)
+    #   jupyterlab
+ibis-framework[duckdb]==8.0.0
+    # via
+    #   feast (setup.py)
+    #   ibis-substrait
+ibis-substrait==3.2.0
     # via feast (setup.py)
-identify==2.5.31
+identify==2.5.35
     # via pre-commit
-idna==3.4
+idna==3.7
     # via
     #   anyio
     #   httpx
@@ -323,33 +330,30 @@ idna==3.4
     #   snowflake-connector-python
 imagesize==1.4.1
     # via sphinx
-importlib-metadata==6.8.0
+importlib-metadata==6.11.0
     # via
     #   dask
     #   feast (setup.py)
-    #   great-expectations
-importlib-resources==6.1.1
+importlib-resources==6.4.0
     # via feast (setup.py)
 iniconfig==2.0.0
     # via pytest
-ipykernel==6.26.0
+ipykernel==6.29.3
     # via jupyterlab
-ipython==8.17.2
+ipython==8.22.2
     # via
     #   great-expectations
     #   ipykernel
     #   ipywidgets
-ipywidgets==8.1.1
+ipywidgets==8.1.2
     # via great-expectations
 isodate==0.6.1
     # via azure-storage-blob
 isoduration==20.11.0
     # via jsonschema
-isort==5.12.0
-    # via feast (setup.py)
 jedi==0.19.1
     # via ipython
-jinja2==3.1.2
+jinja2==3.1.3
     # via
     #   altair
     #   feast (setup.py)
@@ -364,7 +368,7 @@ jmespath==1.0.1
     # via
     #   boto3
     #   botocore
-json5==0.9.14
+json5==0.9.24
     # via jupyterlab-server
 jsonpatch==1.33
     # via great-expectations
@@ -372,7 +376,7 @@ jsonpointer==2.4
     # via
     #   jsonpatch
     #   jsonschema
-jsonschema[format-nongpl]==4.20.0
+jsonschema[format-nongpl]==4.21.1
     # via
     #   altair
     #   feast (setup.py)
@@ -380,14 +384,14 @@ jsonschema[format-nongpl]==4.20.0
     #   jupyter-events
     #   jupyterlab-server
     #   nbformat
-jsonschema-specifications==2023.11.1
+jsonschema-specifications==2023.12.1
     # via jsonschema
-jupyter-client==8.6.0
+jupyter-client==8.6.1
     # via
     #   ipykernel
     #   jupyter-server
     #   nbclient
-jupyter-core==5.5.0
+jupyter-core==5.7.2
     # via
     #   ipykernel
     #   jupyter-client
@@ -396,28 +400,28 @@ jupyter-core==5.5.0
     #   nbclient
     #   nbconvert
     #   nbformat
-jupyter-events==0.9.0
+jupyter-events==0.10.0
     # via jupyter-server
-jupyter-lsp==2.2.0
+jupyter-lsp==2.2.4
     # via jupyterlab
-jupyter-server==2.10.1
+jupyter-server==2.13.0
     # via
     #   jupyter-lsp
     #   jupyterlab
     #   jupyterlab-server
     #   notebook
     #   notebook-shim
-jupyter-server-terminals==0.4.4
+jupyter-server-terminals==0.5.3
     # via jupyter-server
-jupyterlab==4.0.8
+jupyterlab==4.1.5
     # via notebook
-jupyterlab-pygments==0.2.2
+jupyterlab-pygments==0.3.0
     # via nbconvert
-jupyterlab-server==2.25.1
+jupyterlab-server==2.25.4
     # via
     #   jupyterlab
     #   notebook
-jupyterlab-widgets==3.0.9
+jupyterlab-widgets==3.0.10
     # via ipywidgets
 kubernetes==20.13.0
     # via feast (setup.py)
@@ -425,72 +429,72 @@ locket==1.0.0
     # via partd
 makefun==1.15.2
     # via great-expectations
-markupsafe==2.1.3
+markdown-it-py==3.0.0
+    # via rich
+markupsafe==2.1.5
     # via
     #   jinja2
     #   nbconvert
     #   werkzeug
-marshmallow==3.20.1
+marshmallow==3.21.1
     # via great-expectations
 matplotlib-inline==0.1.6
     # via
     #   ipykernel
     #   ipython
-mccabe==0.7.0
-    # via flake8
+mdurl==0.1.2
+    # via markdown-it-py
 minio==7.1.0
     # via feast (setup.py)
 mistune==3.0.2
     # via
     #   great-expectations
     #   nbconvert
-mmh3==4.0.1
+mmh3==4.1.0
     # via feast (setup.py)
 mock==2.0.0
     # via feast (setup.py)
 moreorless==0.4.0
     # via bowler
-moto==4.2.9
+moto==4.2.14
     # via feast (setup.py)
-msal==1.25.0
+msal==1.28.0
     # via
     #   azure-identity
     #   msal-extensions
-msal-extensions==1.0.0
+msal-extensions==1.1.0
     # via azure-identity
-msgpack==1.0.7
+msgpack==1.0.8
     # via cachecontrol
-multiprocess==0.70.15
+multipledispatch==1.0.0
+    # via ibis-framework
+multiprocess==0.70.16
     # via bytewax
-mypy==0.982
+mypy==1.9.0
     # via
     #   feast (setup.py)
     #   sqlalchemy
 mypy-extensions==1.0.0
-    # via
-    #   black
-    #   mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-mysqlclient==2.2.0
+    # via mypy
+mypy-protobuf==3.3.0
     # via feast (setup.py)
-nbclient==0.9.0
+nbclient==0.10.0
     # via nbconvert
-nbconvert==7.11.0
+nbconvert==7.16.3
     # via jupyter-server
-nbformat==5.9.2
+nbformat==5.10.3
     # via
     #   great-expectations
     #   jupyter-server
     #   nbclient
     #   nbconvert
-nest-asyncio==1.5.8
+nest-asyncio==1.6.0
     # via ipykernel
 nodeenv==1.8.0
     # via pre-commit
-notebook==7.0.6
+notebook==7.1.2
     # via great-expectations
-notebook-shim==0.2.3
+notebook-shim==0.2.4
     # via
     #   jupyterlab
     #   notebook
@@ -500,15 +504,15 @@ numpy==1.24.4
     #   db-dtypes
     #   feast (setup.py)
     #   great-expectations
+    #   ibis-framework
     #   pandas
-    #   pandavro
     #   pyarrow
     #   scipy
 oauthlib==3.2.2
     # via requests-oauthlib
-overrides==7.4.0
+overrides==7.7.0
     # via jupyter-server
-packaging==23.2
+packaging==24.0
     # via
     #   build
     #   dask
@@ -518,47 +522,46 @@ packaging==23.2
     #   google-cloud-bigquery
     #   great-expectations
     #   gunicorn
+    #   ibis-substrait
     #   ipykernel
     #   jupyter-server
     #   jupyterlab
     #   jupyterlab-server
     #   marshmallow
+    #   msal-extensions
     #   nbconvert
     #   pytest
     #   snowflake-connector-python
     #   sphinx
-pandas==1.5.3
+pandas==2.2.1
     # via
     #   altair
     #   db-dtypes
     #   feast (setup.py)
     #   google-cloud-bigquery
     #   great-expectations
-    #   pandavro
+    #   ibis-framework
     #   snowflake-connector-python
-pandavro==1.5.2
-    # via feast (setup.py)
-pandocfilters==1.5.0
+pandocfilters==1.5.1
     # via nbconvert
 parso==0.8.3
     # via jedi
+parsy==2.1
+    # via ibis-framework
 partd==1.4.1
     # via dask
-pathspec==0.11.2
-    # via black
 pbr==6.0.0
     # via mock
-pexpect==4.8.0
+pexpect==4.9.0
     # via ipython
-pip-tools==7.3.0
+pip-tools==7.4.1
     # via feast (setup.py)
 platformdirs==3.11.0
     # via
-    #   black
     #   jupyter-core
     #   snowflake-connector-python
     #   virtualenv
-pluggy==1.3.0
+pluggy==1.4.0
     # via pytest
 ply==3.11
     # via thriftpy2
@@ -566,19 +569,19 @@ portalocker==2.8.2
     # via msal-extensions
 pre-commit==3.3.1
     # via feast (setup.py)
-prometheus-client==0.18.0
+prometheus-client==0.20.0
     # via jupyter-server
-prompt-toolkit==3.0.41
+prompt-toolkit==3.0.43
     # via ipython
-proto-plus==1.22.3
+proto-plus==1.23.0
     # via
-    #   feast (setup.py)
+    #   google-api-core
     #   google-cloud-bigquery
     #   google-cloud-bigquery-storage
     #   google-cloud-bigtable
     #   google-cloud-datastore
     #   google-cloud-firestore
-protobuf==4.23.3
+protobuf==4.25.3
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -596,6 +599,7 @@ protobuf==4.23.3
     #   grpcio-tools
     #   mypy-protobuf
     #   proto-plus
+    #   substrait
 psutil==5.9.0
     # via
     #   feast (setup.py)
@@ -614,13 +618,16 @@ py-cpuinfo==9.0.0
     # via pytest-benchmark
 py4j==0.10.9.7
     # via pyspark
-pyarrow==14.0.1
+pyarrow==15.0.2
     # via
     #   db-dtypes
     #   feast (setup.py)
     #   google-cloud-bigquery
+    #   ibis-framework
     #   snowflake-connector-python
-pyasn1==0.5.0
+pyarrow-hotfix==0.6
+    # via ibis-framework
+pyasn1==0.5.1
     # via
     #   pyasn1-modules
     #   rsa
@@ -628,48 +635,50 @@ pyasn1-modules==0.3.0
     # via google-auth
 pybindgen==0.22.1
     # via feast (setup.py)
-pycodestyle==2.10.0
-    # via flake8
 pycparser==2.21
     # via cffi
-pydantic==1.10.13
+pydantic==2.6.4
     # via
     #   fastapi
     #   feast (setup.py)
     #   great-expectations
-pyflakes==3.0.1
-    # via flake8
-pygments==2.16.1
+pydantic-core==2.16.3
+    # via pydantic
+pygments==2.17.2
     # via
     #   feast (setup.py)
     #   ipython
     #   nbconvert
+    #   rich
     #   sphinx
 pyjwt[crypto]==2.8.0
     # via
     #   msal
     #   snowflake-connector-python
-pymssql==2.2.10
+pymssql==2.2.11
     # via feast (setup.py)
 pymysql==1.1.0
     # via feast (setup.py)
-pyodbc==5.0.1
+pyodbc==5.1.0
     # via feast (setup.py)
-pyopenssl==23.3.0
+pyopenssl==24.1.0
     # via snowflake-connector-python
-pyparsing==3.1.1
+pyparsing==3.1.2
     # via
     #   great-expectations
     #   httplib2
 pyproject-hooks==1.0.0
-    # via build
-pyspark==3.5.0
+    # via
+    #   build
+    #   pip-tools
+pyspark==3.5.1
     # via feast (setup.py)
-pytest==7.4.3
+pytest==7.4.4
     # via
     #   feast (setup.py)
     #   pytest-benchmark
     #   pytest-cov
+    #   pytest-env
     #   pytest-lazy-fixture
     #   pytest-mock
     #   pytest-ordering
@@ -679,6 +688,8 @@ pytest-benchmark==3.4.1
     # via feast (setup.py)
 pytest-cov==4.1.0
     # via feast (setup.py)
+pytest-env==1.1.3
+    # via feast (setup.py)
 pytest-lazy-fixture==0.6.3
     # via feast (setup.py)
 pytest-mock==1.10.4
@@ -687,27 +698,29 @@ pytest-ordering==0.6
     # via feast (setup.py)
 pytest-timeout==1.4.2
     # via feast (setup.py)
-pytest-xdist==3.4.0
+pytest-xdist==3.5.0
     # via feast (setup.py)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via
     #   arrow
     #   botocore
     #   google-cloud-bigquery
     #   great-expectations
+    #   ibis-framework
     #   jupyter-client
     #   kubernetes
     #   moto
     #   pandas
     #   rockset
     #   trino
-python-dotenv==1.0.0
+python-dotenv==1.0.1
     # via uvicorn
 python-json-logger==2.0.7
     # via jupyter-events
-pytz==2023.3.post1
+pytz==2024.1
     # via
     #   great-expectations
+    #   ibis-framework
     #   pandas
     #   snowflake-connector-python
     #   trino
@@ -715,24 +728,25 @@ pyyaml==6.0.1
     # via
     #   dask
     #   feast (setup.py)
+    #   ibis-substrait
     #   jupyter-events
     #   kubernetes
     #   pre-commit
     #   responses
     #   uvicorn
-pyzmq==25.1.1
+pyzmq==25.1.2
     # via
     #   ipykernel
     #   jupyter-client
     #   jupyter-server
 redis==4.6.0
     # via feast (setup.py)
-referencing==0.31.0
+referencing==0.34.0
     # via
     #   jsonschema
     #   jsonschema-specifications
     #   jupyter-events
-regex==2023.10.3
+regex==2023.12.25
     # via feast (setup.py)
 requests==2.31.0
     # via
@@ -753,9 +767,9 @@ requests==2.31.0
     #   snowflake-connector-python
     #   sphinx
     #   trino
-requests-oauthlib==1.3.1
+requests-oauthlib==2.0.0
     # via kubernetes
-responses==0.24.1
+responses==0.25.0
     # via moto
 rfc3339-validator==0.1.4
     # via
@@ -765,9 +779,11 @@ rfc3986-validator==0.1.1
     # via
     #   jsonschema
     #   jupyter-events
-rockset==2.1.0
+rich==13.7.1
+    # via ibis-framework
+rockset==2.1.1
     # via feast (setup.py)
-rpds-py==0.13.0
+rpds-py==0.18.0
     # via
     #   jsonschema
     #   referencing
@@ -775,9 +791,11 @@ rsa==4.9
     # via google-auth
 ruamel-yaml==0.17.17
     # via great-expectations
-s3transfer==0.7.0
+ruff==0.3.4
+    # via feast (setup.py)
+s3transfer==0.10.1
     # via boto3
-scipy==1.11.3
+scipy==1.12.0
     # via great-expectations
 send2trash==1.8.2
     # via jupyter-server
@@ -786,71 +804,70 @@ six==1.16.0
     #   asttokens
     #   azure-core
     #   bleach
-    #   cassandra-driver
     #   geomet
     #   happybase
     #   isodate
     #   kubernetes
     #   mock
-    #   pandavro
     #   python-dateutil
     #   rfc3339-validator
     #   thriftpy2
-sniffio==1.3.0
+sniffio==1.3.1
     # via
     #   anyio
     #   httpx
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==3.5.0
-    # via
-    #   feast (setup.py)
-    #   snowflake-connector-python
+snowflake-connector-python[pandas]==3.7.1
+    # via feast (setup.py)
 sortedcontainers==2.4.0
     # via snowflake-connector-python
 soupsieve==2.5
     # via beautifulsoup4
 sphinx==6.2.1
-    # via
-    #   feast (setup.py)
-    #   sphinxcontrib-applehelp
-    #   sphinxcontrib-devhelp
-    #   sphinxcontrib-htmlhelp
-    #   sphinxcontrib-qthelp
-    #   sphinxcontrib-serializinghtml
-sphinxcontrib-applehelp==1.0.7
+    # via feast (setup.py)
+sphinxcontrib-applehelp==1.0.8
     # via sphinx
-sphinxcontrib-devhelp==1.0.5
+sphinxcontrib-devhelp==1.0.6
     # via sphinx
-sphinxcontrib-htmlhelp==2.0.4
+sphinxcontrib-htmlhelp==2.0.5
     # via sphinx
 sphinxcontrib-jsmath==1.0.1
     # via sphinx
-sphinxcontrib-qthelp==1.0.6
+sphinxcontrib-qthelp==1.0.7
     # via sphinx
-sphinxcontrib-serializinghtml==1.1.9
+sphinxcontrib-serializinghtml==1.1.10
     # via sphinx
-sqlalchemy[mypy]==1.4.50
+sqlalchemy[mypy]==1.4.52
     # via
+    #   duckdb-engine
     #   feast (setup.py)
+    #   ibis-framework
     #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
+    #   sqlalchemy-views
+sqlalchemy-views==0.3.2
+    # via ibis-framework
+sqlalchemy2-stubs==0.0.2a38
     # via sqlalchemy
+sqlglot==20.11.0
+    # via ibis-framework
 stack-data==0.6.3
     # via ipython
-starlette==0.27.0
+starlette==0.36.3
     # via fastapi
+substrait==0.14.1
+    # via ibis-substrait
 tabulate==0.9.0
     # via feast (setup.py)
 tenacity==8.2.3
     # via feast (setup.py)
-terminado==0.18.0
+terminado==0.18.1
     # via
     #   jupyter-server
     #   jupyter-server-terminals
 testcontainers==3.7.1
     # via feast (setup.py)
-thriftpy2==0.4.17
+thriftpy2==0.4.20
     # via happybase
 tinycss2==1.2.1
     # via nbconvert
@@ -858,7 +875,6 @@ toml==0.10.2
     # via feast (setup.py)
 tomli==2.0.1
     # via
-    #   black
     #   build
     #   coverage
     #   jupyterlab
@@ -866,14 +882,16 @@ tomli==2.0.1
     #   pip-tools
     #   pyproject-hooks
     #   pytest
-tomlkit==0.12.3
+    #   pytest-env
+tomlkit==0.12.4
     # via snowflake-connector-python
-toolz==0.12.0
+toolz==0.12.1
     # via
     #   altair
     #   dask
+    #   ibis-framework
     #   partd
-tornado==6.3.3
+tornado==6.4
     # via
     #   ipykernel
     #   jupyter-client
@@ -881,11 +899,11 @@ tornado==6.3.3
     #   jupyterlab
     #   notebook
     #   terminado
-tqdm==4.66.1
+tqdm==4.66.2
     # via
     #   feast (setup.py)
     #   great-expectations
-traitlets==5.13.0
+traitlets==5.14.2
     # via
     #   comm
     #   ipykernel
@@ -900,9 +918,9 @@ traitlets==5.13.0
     #   nbclient
     #   nbconvert
     #   nbformat
-trino==0.327.0
+trino==0.328.0
     # via feast (setup.py)
-typeguard==2.13.3
+typeguard==4.2.1
     # via feast (setup.py)
 types-protobuf==3.19.22
     # via
@@ -910,38 +928,44 @@ types-protobuf==3.19.22
     #   mypy-protobuf
 types-pymysql==1.1.0.1
     # via feast (setup.py)
-types-pyopenssl==23.3.0.0
+types-pyopenssl==24.0.0.20240311
     # via types-redis
-types-python-dateutil==2.8.19.14
+types-python-dateutil==2.9.0.20240316
     # via
     #   arrow
     #   feast (setup.py)
-types-pytz==2023.3.1.1
+types-pytz==2024.1.0.20240203
     # via feast (setup.py)
-types-pyyaml==6.0.12.12
+types-pyyaml==6.0.12.20240311
     # via feast (setup.py)
-types-redis==4.6.0.10
+types-redis==4.6.0.20240311
     # via feast (setup.py)
 types-requests==2.30.0.0
     # via feast (setup.py)
-types-setuptools==68.2.0.1
+types-setuptools==69.2.0.20240317
     # via feast (setup.py)
-types-tabulate==0.9.0.3
+types-tabulate==0.9.0.20240106
     # via feast (setup.py)
 types-urllib3==1.26.25.14
     # via types-requests
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via
+    #   anyio
     #   async-lru
     #   azure-core
     #   azure-storage-blob
     #   fastapi
     #   great-expectations
+    #   ibis-framework
     #   mypy
     #   pydantic
+    #   pydantic-core
     #   snowflake-connector-python
     #   sqlalchemy2-stubs
+    #   typeguard
     #   uvicorn
+tzdata==2024.1
+    # via pandas
 tzlocal==5.2
     # via
     #   great-expectations
@@ -961,11 +985,8 @@ urllib3==1.26.18
     #   requests
     #   responses
     #   rockset
-    #   snowflake-connector-python
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
+uvicorn[standard]==0.29.0
+    # via feast (setup.py)
 uvloop==0.19.0
     # via uvicorn
 virtualenv==20.23.0
@@ -976,7 +997,7 @@ volatile==2.1.0
     # via bowler
 watchfiles==0.21.0
     # via uvicorn
-wcwidth==0.2.10
+wcwidth==0.2.13
     # via prompt-toolkit
 webcolors==1.13
     # via jsonschema
@@ -984,24 +1005,23 @@ webencodings==0.5.1
     # via
     #   bleach
     #   tinycss2
-websocket-client==1.6.4
+websocket-client==1.7.0
     # via
-    #   docker
     #   jupyter-server
     #   kubernetes
 websockets==12.0
     # via uvicorn
 werkzeug==3.0.1
     # via moto
-wheel==0.41.3
+wheel==0.43.0
     # via pip-tools
-widgetsnbextension==4.0.9
+widgetsnbextension==4.0.10
     # via ipywidgets
 wrapt==1.16.0
     # via testcontainers
 xmltodict==0.13.0
     # via moto
-zipp==3.17.0
+zipp==3.18.1
     # via importlib-metadata
 
 # The following packages are considered to be unsafe in a requirements file:
diff --git a/sdk/python/requirements/py3.10-requirements.txt b/sdk/python/requirements/py3.10-requirements.txt
index 0508614aa6..aa55cffd5f 100644
--- a/sdk/python/requirements/py3.10-requirements.txt
+++ b/sdk/python/requirements/py3.10-requirements.txt
@@ -4,25 +4,23 @@
 #
 #    pip-compile --output-file=sdk/python/requirements/py3.10-requirements.txt
 #
-anyio==4.0.0
+annotated-types==0.6.0
+    # via pydantic
+anyio==4.3.0
     # via
-    #   httpx
     #   starlette
     #   watchfiles
 appdirs==1.4.4
     # via fissix
-attrs==23.1.0
+attrs==23.2.0
     # via
     #   bowler
     #   jsonschema
     #   referencing
 bowler==0.9.0
     # via feast (setup.py)
-certifi==2023.7.22
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
+certifi==2024.2.2
+    # via requests
 charset-normalizer==3.3.2
     # via requests
 click==8.1.7
@@ -36,151 +34,115 @@ cloudpickle==3.0.0
     # via dask
 colorama==0.4.6
     # via feast (setup.py)
-dask==2023.11.0
+dask==2024.2.1
     # via feast (setup.py)
-dill==0.3.7
+dill==0.3.8
     # via feast (setup.py)
-exceptiongroup==1.1.3
+exceptiongroup==1.2.0
     # via anyio
-fastapi==0.99.1
+fastapi==0.110.0
     # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
 fissix==21.11.13
     # via bowler
-fsspec==2023.10.0
+fsspec==2024.3.1
     # via dask
-greenlet==3.0.1
+greenlet==3.0.3
     # via sqlalchemy
-grpcio==1.59.2
-    # via
-    #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
-grpcio-health-checking==1.59.2
-    # via feast (setup.py)
-grpcio-reflection==1.59.2
-    # via feast (setup.py)
-grpcio-tools==1.59.2
-    # via feast (setup.py)
 gunicorn==21.2.0
     # via feast (setup.py)
 h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-httpcore==1.0.2
-    # via httpx
+    # via uvicorn
 httptools==0.6.1
     # via uvicorn
-httpx==0.25.1
-    # via feast (setup.py)
-idna==3.4
+idna==3.7
     # via
     #   anyio
-    #   httpx
     #   requests
-importlib-metadata==6.8.0
+importlib-metadata==6.11.0
     # via
     #   dask
     #   feast (setup.py)
-importlib-resources==6.1.1
+importlib-resources==6.4.0
     # via feast (setup.py)
-jinja2==3.1.2
+jinja2==3.1.3
     # via feast (setup.py)
-jsonschema==4.20.0
+jsonschema==4.21.1
     # via feast (setup.py)
-jsonschema-specifications==2023.11.1
+jsonschema-specifications==2023.12.1
     # via jsonschema
 locket==1.0.0
     # via partd
-markupsafe==2.1.3
+markupsafe==2.1.5
     # via jinja2
-mmh3==4.0.1
+mmh3==4.1.0
     # via feast (setup.py)
 moreorless==0.4.0
     # via bowler
-mypy==1.7.0
+mypy==1.9.0
     # via sqlalchemy
 mypy-extensions==1.0.0
     # via mypy
-mypy-protobuf==3.1.0
+mypy-protobuf==3.5.0
     # via feast (setup.py)
 numpy==1.24.4
     # via
     #   feast (setup.py)
     #   pandas
-    #   pandavro
     #   pyarrow
-packaging==23.2
+packaging==24.0
     # via
     #   dask
     #   gunicorn
-pandas==1.5.3
-    # via
-    #   feast (setup.py)
-    #   pandavro
-pandavro==1.5.2
+pandas==2.2.1
     # via feast (setup.py)
 partd==1.4.1
     # via dask
-proto-plus==1.22.3
-    # via feast (setup.py)
-protobuf==4.23.3
+protobuf==4.25.3
     # via
     #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
     #   mypy-protobuf
-    #   proto-plus
-pyarrow==14.0.1
+pyarrow==15.0.2
     # via feast (setup.py)
-pydantic==1.10.13
+pydantic==2.6.4
     # via
     #   fastapi
     #   feast (setup.py)
-pygments==2.16.1
+pydantic-core==2.16.3
+    # via pydantic
+pygments==2.17.2
     # via feast (setup.py)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via pandas
-python-dotenv==1.0.0
+python-dotenv==1.0.1
     # via uvicorn
-pytz==2023.3.post1
+pytz==2024.1
     # via pandas
 pyyaml==6.0.1
     # via
     #   dask
     #   feast (setup.py)
     #   uvicorn
-referencing==0.31.0
+referencing==0.34.0
     # via
     #   jsonschema
     #   jsonschema-specifications
 requests==2.31.0
     # via feast (setup.py)
-rpds-py==0.13.0
+rpds-py==0.18.0
     # via
     #   jsonschema
     #   referencing
 six==1.16.0
-    # via
-    #   pandavro
-    #   python-dateutil
-sniffio==1.3.0
-    # via
-    #   anyio
-    #   httpx
-sqlalchemy[mypy]==1.4.50
+    # via python-dateutil
+sniffio==1.3.1
+    # via anyio
+sqlalchemy[mypy]==1.4.52
     # via
     #   feast (setup.py)
     #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
+sqlalchemy2-stubs==0.0.2a38
     # via sqlalchemy
-starlette==0.27.0
+starlette==0.36.3
     # via fastapi
 tabulate==0.9.0
     # via feast (setup.py)
@@ -190,29 +152,32 @@ toml==0.10.2
     # via feast (setup.py)
 tomli==2.0.1
     # via mypy
-toolz==0.12.0
+toolz==0.12.1
     # via
     #   dask
     #   partd
-tqdm==4.66.1
+tqdm==4.66.2
     # via feast (setup.py)
-typeguard==2.13.3
+typeguard==4.2.1
     # via feast (setup.py)
-types-protobuf==4.24.0.4
+types-protobuf==4.24.0.20240311
     # via mypy-protobuf
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via
+    #   anyio
     #   fastapi
     #   mypy
     #   pydantic
+    #   pydantic-core
     #   sqlalchemy2-stubs
+    #   typeguard
     #   uvicorn
-urllib3==2.1.0
+tzdata==2024.1
+    # via pandas
+urllib3==2.2.1
     # via requests
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
+uvicorn[standard]==0.29.0
+    # via feast (setup.py)
 uvloop==0.19.0
     # via uvicorn
 volatile==2.1.0
@@ -221,8 +186,5 @@ watchfiles==0.21.0
     # via uvicorn
 websockets==12.0
     # via uvicorn
-zipp==3.17.0
+zipp==3.18.1
     # via importlib-metadata
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/requirements/py3.8-ci-requirements.txt b/sdk/python/requirements/py3.8-ci-requirements.txt
deleted file mode 100644
index 8449af824f..0000000000
--- a/sdk/python/requirements/py3.8-ci-requirements.txt
+++ /dev/null
@@ -1,1031 +0,0 @@
-#
-# This file is autogenerated by pip-compile with Python 3.8
-# by the following command:
-#
-#    pip-compile --extra=ci --output-file=sdk/python/requirements/py3.8-ci-requirements.txt
-#
-alabaster==0.7.13
-    # via sphinx
-altair==4.2.0
-    # via great-expectations
-anyio==4.0.0
-    # via
-    #   httpx
-    #   jupyter-server
-    #   starlette
-    #   watchfiles
-appdirs==1.4.4
-    # via fissix
-argon2-cffi==23.1.0
-    # via jupyter-server
-argon2-cffi-bindings==21.2.0
-    # via argon2-cffi
-arrow==1.3.0
-    # via isoduration
-asn1crypto==1.5.1
-    # via snowflake-connector-python
-assertpy==1.1
-    # via feast (setup.py)
-asttokens==2.4.1
-    # via stack-data
-async-lru==2.0.4
-    # via jupyterlab
-async-timeout==4.0.3
-    # via redis
-attrs==23.1.0
-    # via
-    #   bowler
-    #   jsonschema
-    #   referencing
-avro==1.10.0
-    # via feast (setup.py)
-azure-core==1.29.5
-    # via
-    #   azure-identity
-    #   azure-storage-blob
-azure-identity==1.15.0
-    # via feast (setup.py)
-azure-storage-blob==12.19.0
-    # via feast (setup.py)
-babel==2.13.1
-    # via
-    #   jupyterlab-server
-    #   sphinx
-backcall==0.2.0
-    # via ipython
-backports-zoneinfo==0.2.1
-    # via
-    #   trino
-    #   tzlocal
-beautifulsoup4==4.12.2
-    # via nbconvert
-black==22.12.0
-    # via feast (setup.py)
-bleach==6.1.0
-    # via nbconvert
-boto3==1.29.2
-    # via
-    #   feast (setup.py)
-    #   moto
-botocore==1.32.2
-    # via
-    #   boto3
-    #   moto
-    #   s3transfer
-bowler==0.9.0
-    # via feast (setup.py)
-build==1.0.3
-    # via
-    #   feast (setup.py)
-    #   pip-tools
-bytewax==0.15.1
-    # via feast (setup.py)
-cachecontrol==0.13.1
-    # via firebase-admin
-cachetools==5.3.2
-    # via google-auth
-cassandra-driver==3.28.0
-    # via feast (setup.py)
-certifi==2023.7.22
-    # via
-    #   httpcore
-    #   httpx
-    #   kubernetes
-    #   minio
-    #   requests
-    #   snowflake-connector-python
-cffi==1.16.0
-    # via
-    #   argon2-cffi-bindings
-    #   cryptography
-    #   snowflake-connector-python
-cfgv==3.4.0
-    # via pre-commit
-charset-normalizer==3.3.2
-    # via
-    #   requests
-    #   snowflake-connector-python
-click==8.1.7
-    # via
-    #   black
-    #   bowler
-    #   dask
-    #   feast (setup.py)
-    #   geomet
-    #   great-expectations
-    #   moreorless
-    #   pip-tools
-    #   uvicorn
-cloudpickle==3.0.0
-    # via dask
-colorama==0.4.6
-    # via
-    #   feast (setup.py)
-    #   great-expectations
-comm==0.2.0
-    # via
-    #   ipykernel
-    #   ipywidgets
-coverage[toml]==7.3.2
-    # via
-    #   coverage
-    #   pytest-cov
-cryptography==41.0.5
-    # via
-    #   azure-identity
-    #   azure-storage-blob
-    #   feast (setup.py)
-    #   great-expectations
-    #   moto
-    #   msal
-    #   pyjwt
-    #   pyopenssl
-    #   snowflake-connector-python
-    #   types-pyopenssl
-    #   types-redis
-dask==2023.5.0
-    # via feast (setup.py)
-db-dtypes==1.1.1
-    # via google-cloud-bigquery
-debugpy==1.8.0
-    # via ipykernel
-decorator==5.1.1
-    # via ipython
-defusedxml==0.7.1
-    # via nbconvert
-deprecation==2.1.0
-    # via testcontainers
-dill==0.3.7
-    # via
-    #   bytewax
-    #   feast (setup.py)
-    #   multiprocess
-distlib==0.3.7
-    # via virtualenv
-docker==6.1.3
-    # via
-    #   feast (setup.py)
-    #   testcontainers
-docutils==0.19
-    # via sphinx
-entrypoints==0.4
-    # via altair
-exceptiongroup==1.1.3
-    # via
-    #   anyio
-    #   pytest
-execnet==2.0.2
-    # via pytest-xdist
-executing==2.0.1
-    # via stack-data
-fastapi==0.99.1
-    # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
-fastjsonschema==2.19.0
-    # via nbformat
-filelock==3.13.1
-    # via
-    #   snowflake-connector-python
-    #   virtualenv
-firebase-admin==5.4.0
-    # via feast (setup.py)
-fissix==21.11.13
-    # via bowler
-flake8==6.0.0
-    # via feast (setup.py)
-fqdn==1.5.1
-    # via jsonschema
-fsspec==2023.9.2
-    # via
-    #   dask
-    #   feast (setup.py)
-geojson==2.5.0
-    # via rockset
-geomet==0.2.1.post1
-    # via cassandra-driver
-google-api-core[grpc]==2.14.0
-    # via
-    #   feast (setup.py)
-    #   firebase-admin
-    #   google-api-python-client
-    #   google-cloud-bigquery
-    #   google-cloud-bigquery-storage
-    #   google-cloud-bigtable
-    #   google-cloud-core
-    #   google-cloud-datastore
-    #   google-cloud-firestore
-    #   google-cloud-storage
-google-api-python-client==2.108.0
-    # via firebase-admin
-google-auth==2.23.4
-    # via
-    #   google-api-core
-    #   google-api-python-client
-    #   google-auth-httplib2
-    #   google-cloud-core
-    #   google-cloud-storage
-    #   kubernetes
-google-auth-httplib2==0.1.1
-    # via google-api-python-client
-google-cloud-bigquery[pandas]==3.12.0
-    # via
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-google-cloud-bigquery-storage==2.22.0
-    # via feast (setup.py)
-google-cloud-bigtable==2.21.0
-    # via feast (setup.py)
-google-cloud-core==2.3.3
-    # via
-    #   google-cloud-bigquery
-    #   google-cloud-bigtable
-    #   google-cloud-datastore
-    #   google-cloud-firestore
-    #   google-cloud-storage
-google-cloud-datastore==2.18.0
-    # via feast (setup.py)
-google-cloud-firestore==2.13.1
-    # via firebase-admin
-google-cloud-storage==2.13.0
-    # via
-    #   feast (setup.py)
-    #   firebase-admin
-google-crc32c==1.5.0
-    # via
-    #   google-cloud-storage
-    #   google-resumable-media
-google-resumable-media==2.6.0
-    # via
-    #   google-cloud-bigquery
-    #   google-cloud-storage
-googleapis-common-protos[grpc]==1.61.0
-    # via
-    #   feast (setup.py)
-    #   google-api-core
-    #   grpc-google-iam-v1
-    #   grpcio-status
-great-expectations==0.15.50
-    # via feast (setup.py)
-greenlet==3.0.1
-    # via sqlalchemy
-grpc-google-iam-v1==0.12.7
-    # via google-cloud-bigtable
-grpcio==1.59.2
-    # via
-    #   feast (setup.py)
-    #   google-api-core
-    #   google-cloud-bigquery
-    #   googleapis-common-protos
-    #   grpc-google-iam-v1
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-status
-    #   grpcio-testing
-    #   grpcio-tools
-grpcio-health-checking==1.59.2
-    # via feast (setup.py)
-grpcio-reflection==1.59.2
-    # via feast (setup.py)
-grpcio-status==1.59.2
-    # via google-api-core
-grpcio-testing==1.59.2
-    # via feast (setup.py)
-grpcio-tools==1.59.2
-    # via feast (setup.py)
-gunicorn==21.2.0
-    # via feast (setup.py)
-h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-happybase==1.2.0
-    # via feast (setup.py)
-hazelcast-python-client==5.3.0
-    # via feast (setup.py)
-hiredis==2.2.3
-    # via feast (setup.py)
-httpcore==1.0.2
-    # via httpx
-httplib2==0.22.0
-    # via
-    #   google-api-python-client
-    #   google-auth-httplib2
-httptools==0.6.1
-    # via uvicorn
-httpx==0.25.1
-    # via feast (setup.py)
-identify==2.5.31
-    # via pre-commit
-idna==3.4
-    # via
-    #   anyio
-    #   httpx
-    #   jsonschema
-    #   requests
-    #   snowflake-connector-python
-imagesize==1.4.1
-    # via sphinx
-importlib-metadata==6.8.0
-    # via
-    #   build
-    #   dask
-    #   feast (setup.py)
-    #   great-expectations
-    #   jupyter-client
-    #   jupyter-lsp
-    #   jupyterlab
-    #   jupyterlab-server
-    #   nbconvert
-    #   sphinx
-importlib-resources==6.1.1
-    # via
-    #   feast (setup.py)
-    #   jsonschema
-    #   jsonschema-specifications
-    #   jupyterlab
-iniconfig==2.0.0
-    # via pytest
-ipykernel==6.26.0
-    # via jupyterlab
-ipython==8.12.3
-    # via
-    #   great-expectations
-    #   ipykernel
-    #   ipywidgets
-ipywidgets==8.1.1
-    # via great-expectations
-isodate==0.6.1
-    # via azure-storage-blob
-isoduration==20.11.0
-    # via jsonschema
-isort==5.12.0
-    # via feast (setup.py)
-jedi==0.19.1
-    # via ipython
-jinja2==3.1.2
-    # via
-    #   altair
-    #   feast (setup.py)
-    #   great-expectations
-    #   jupyter-server
-    #   jupyterlab
-    #   jupyterlab-server
-    #   moto
-    #   nbconvert
-    #   sphinx
-jmespath==1.0.1
-    # via
-    #   boto3
-    #   botocore
-json5==0.9.14
-    # via jupyterlab-server
-jsonpatch==1.33
-    # via great-expectations
-jsonpointer==2.4
-    # via
-    #   jsonpatch
-    #   jsonschema
-jsonschema[format-nongpl]==4.20.0
-    # via
-    #   altair
-    #   feast (setup.py)
-    #   great-expectations
-    #   jupyter-events
-    #   jupyterlab-server
-    #   nbformat
-jsonschema-specifications==2023.11.1
-    # via jsonschema
-jupyter-client==8.6.0
-    # via
-    #   ipykernel
-    #   jupyter-server
-    #   nbclient
-jupyter-core==5.5.0
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   jupyter-server
-    #   jupyterlab
-    #   nbclient
-    #   nbconvert
-    #   nbformat
-jupyter-events==0.9.0
-    # via jupyter-server
-jupyter-lsp==2.2.0
-    # via jupyterlab
-jupyter-server==2.10.1
-    # via
-    #   jupyter-lsp
-    #   jupyterlab
-    #   jupyterlab-server
-    #   notebook
-    #   notebook-shim
-jupyter-server-terminals==0.4.4
-    # via jupyter-server
-jupyterlab==4.0.8
-    # via notebook
-jupyterlab-pygments==0.2.2
-    # via nbconvert
-jupyterlab-server==2.25.1
-    # via
-    #   jupyterlab
-    #   notebook
-jupyterlab-widgets==3.0.9
-    # via ipywidgets
-kubernetes==20.13.0
-    # via feast (setup.py)
-locket==1.0.0
-    # via partd
-makefun==1.15.2
-    # via great-expectations
-markupsafe==2.1.3
-    # via
-    #   jinja2
-    #   nbconvert
-    #   werkzeug
-marshmallow==3.20.1
-    # via great-expectations
-matplotlib-inline==0.1.6
-    # via
-    #   ipykernel
-    #   ipython
-mccabe==0.7.0
-    # via flake8
-minio==7.1.0
-    # via feast (setup.py)
-mistune==3.0.2
-    # via
-    #   great-expectations
-    #   nbconvert
-mmh3==4.0.1
-    # via feast (setup.py)
-mock==2.0.0
-    # via feast (setup.py)
-moreorless==0.4.0
-    # via bowler
-moto==4.2.9
-    # via feast (setup.py)
-msal==1.25.0
-    # via
-    #   azure-identity
-    #   msal-extensions
-msal-extensions==1.0.0
-    # via azure-identity
-msgpack==1.0.7
-    # via cachecontrol
-multiprocess==0.70.15
-    # via bytewax
-mypy==0.982
-    # via
-    #   feast (setup.py)
-    #   sqlalchemy
-mypy-extensions==1.0.0
-    # via
-    #   black
-    #   mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-mysqlclient==2.2.0
-    # via feast (setup.py)
-nbclient==0.9.0
-    # via nbconvert
-nbconvert==7.11.0
-    # via jupyter-server
-nbformat==5.9.2
-    # via
-    #   great-expectations
-    #   jupyter-server
-    #   nbclient
-    #   nbconvert
-nest-asyncio==1.5.8
-    # via ipykernel
-nodeenv==1.8.0
-    # via pre-commit
-notebook==7.0.6
-    # via great-expectations
-notebook-shim==0.2.3
-    # via
-    #   jupyterlab
-    #   notebook
-numpy==1.24.4
-    # via
-    #   altair
-    #   db-dtypes
-    #   feast (setup.py)
-    #   great-expectations
-    #   pandas
-    #   pandavro
-    #   pyarrow
-    #   scipy
-oauthlib==3.2.2
-    # via requests-oauthlib
-overrides==7.4.0
-    # via jupyter-server
-packaging==23.2
-    # via
-    #   build
-    #   dask
-    #   db-dtypes
-    #   deprecation
-    #   docker
-    #   google-cloud-bigquery
-    #   great-expectations
-    #   gunicorn
-    #   ipykernel
-    #   jupyter-server
-    #   jupyterlab
-    #   jupyterlab-server
-    #   marshmallow
-    #   nbconvert
-    #   pytest
-    #   snowflake-connector-python
-    #   sphinx
-pandas==1.5.3
-    # via
-    #   altair
-    #   db-dtypes
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-    #   great-expectations
-    #   pandavro
-    #   snowflake-connector-python
-pandavro==1.5.2
-    # via feast (setup.py)
-pandocfilters==1.5.0
-    # via nbconvert
-parso==0.8.3
-    # via jedi
-partd==1.4.1
-    # via dask
-pathspec==0.11.2
-    # via black
-pbr==6.0.0
-    # via mock
-pexpect==4.8.0
-    # via ipython
-pickleshare==0.7.5
-    # via ipython
-pip-tools==7.3.0
-    # via feast (setup.py)
-pkgutil-resolve-name==1.3.10
-    # via jsonschema
-platformdirs==3.11.0
-    # via
-    #   black
-    #   jupyter-core
-    #   snowflake-connector-python
-    #   virtualenv
-pluggy==1.3.0
-    # via pytest
-ply==3.11
-    # via thriftpy2
-portalocker==2.8.2
-    # via msal-extensions
-pre-commit==3.3.1
-    # via feast (setup.py)
-prometheus-client==0.18.0
-    # via jupyter-server
-prompt-toolkit==3.0.41
-    # via ipython
-proto-plus==1.22.3
-    # via
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-    #   google-cloud-bigquery-storage
-    #   google-cloud-bigtable
-    #   google-cloud-datastore
-    #   google-cloud-firestore
-protobuf==4.23.3
-    # via
-    #   feast (setup.py)
-    #   google-api-core
-    #   google-cloud-bigquery
-    #   google-cloud-bigquery-storage
-    #   google-cloud-bigtable
-    #   google-cloud-datastore
-    #   google-cloud-firestore
-    #   googleapis-common-protos
-    #   grpc-google-iam-v1
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-status
-    #   grpcio-testing
-    #   grpcio-tools
-    #   mypy-protobuf
-    #   proto-plus
-psutil==5.9.0
-    # via
-    #   feast (setup.py)
-    #   ipykernel
-psycopg2-binary==2.9.9
-    # via feast (setup.py)
-ptyprocess==0.7.0
-    # via
-    #   pexpect
-    #   terminado
-pure-eval==0.2.2
-    # via stack-data
-py==1.11.0
-    # via feast (setup.py)
-py-cpuinfo==9.0.0
-    # via pytest-benchmark
-py4j==0.10.9.7
-    # via pyspark
-pyarrow==14.0.1
-    # via
-    #   db-dtypes
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-    #   snowflake-connector-python
-pyasn1==0.5.0
-    # via
-    #   pyasn1-modules
-    #   rsa
-pyasn1-modules==0.3.0
-    # via google-auth
-pybindgen==0.22.1
-    # via feast (setup.py)
-pycodestyle==2.10.0
-    # via flake8
-pycparser==2.21
-    # via cffi
-pydantic==1.10.13
-    # via
-    #   fastapi
-    #   feast (setup.py)
-    #   great-expectations
-pyflakes==3.0.1
-    # via flake8
-pygments==2.16.1
-    # via
-    #   feast (setup.py)
-    #   ipython
-    #   nbconvert
-    #   sphinx
-pyjwt[crypto]==2.8.0
-    # via
-    #   msal
-    #   snowflake-connector-python
-pymssql==2.2.10
-    # via feast (setup.py)
-pymysql==1.1.0
-    # via feast (setup.py)
-pyodbc==5.0.1
-    # via feast (setup.py)
-pyopenssl==23.3.0
-    # via snowflake-connector-python
-pyparsing==3.1.1
-    # via
-    #   great-expectations
-    #   httplib2
-pyproject-hooks==1.0.0
-    # via build
-pyspark==3.5.0
-    # via feast (setup.py)
-pytest==7.4.3
-    # via
-    #   feast (setup.py)
-    #   pytest-benchmark
-    #   pytest-cov
-    #   pytest-lazy-fixture
-    #   pytest-mock
-    #   pytest-ordering
-    #   pytest-timeout
-    #   pytest-xdist
-pytest-benchmark==3.4.1
-    # via feast (setup.py)
-pytest-cov==4.1.0
-    # via feast (setup.py)
-pytest-lazy-fixture==0.6.3
-    # via feast (setup.py)
-pytest-mock==1.10.4
-    # via feast (setup.py)
-pytest-ordering==0.6
-    # via feast (setup.py)
-pytest-timeout==1.4.2
-    # via feast (setup.py)
-pytest-xdist==3.4.0
-    # via feast (setup.py)
-python-dateutil==2.8.2
-    # via
-    #   arrow
-    #   botocore
-    #   google-cloud-bigquery
-    #   great-expectations
-    #   jupyter-client
-    #   kubernetes
-    #   moto
-    #   pandas
-    #   rockset
-    #   trino
-python-dotenv==1.0.0
-    # via uvicorn
-python-json-logger==2.0.7
-    # via jupyter-events
-pytz==2023.3.post1
-    # via
-    #   babel
-    #   great-expectations
-    #   pandas
-    #   snowflake-connector-python
-    #   trino
-pyyaml==6.0.1
-    # via
-    #   dask
-    #   feast (setup.py)
-    #   jupyter-events
-    #   kubernetes
-    #   pre-commit
-    #   responses
-    #   uvicorn
-pyzmq==25.1.1
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   jupyter-server
-redis==4.6.0
-    # via feast (setup.py)
-referencing==0.31.0
-    # via
-    #   jsonschema
-    #   jsonschema-specifications
-    #   jupyter-events
-regex==2023.10.3
-    # via feast (setup.py)
-requests==2.31.0
-    # via
-    #   azure-core
-    #   cachecontrol
-    #   docker
-    #   feast (setup.py)
-    #   google-api-core
-    #   google-cloud-bigquery
-    #   google-cloud-storage
-    #   great-expectations
-    #   jupyterlab-server
-    #   kubernetes
-    #   moto
-    #   msal
-    #   requests-oauthlib
-    #   responses
-    #   snowflake-connector-python
-    #   sphinx
-    #   trino
-requests-oauthlib==1.3.1
-    # via kubernetes
-responses==0.24.1
-    # via moto
-rfc3339-validator==0.1.4
-    # via
-    #   jsonschema
-    #   jupyter-events
-rfc3986-validator==0.1.1
-    # via
-    #   jsonschema
-    #   jupyter-events
-rockset==2.1.0
-    # via feast (setup.py)
-rpds-py==0.13.0
-    # via
-    #   jsonschema
-    #   referencing
-rsa==4.9
-    # via google-auth
-ruamel-yaml==0.17.17
-    # via great-expectations
-ruamel-yaml-clib==0.2.8
-    # via ruamel-yaml
-s3transfer==0.7.0
-    # via boto3
-scipy==1.10.1
-    # via great-expectations
-send2trash==1.8.2
-    # via jupyter-server
-six==1.16.0
-    # via
-    #   asttokens
-    #   azure-core
-    #   bleach
-    #   cassandra-driver
-    #   geomet
-    #   happybase
-    #   isodate
-    #   kubernetes
-    #   mock
-    #   pandavro
-    #   python-dateutil
-    #   rfc3339-validator
-    #   thriftpy2
-sniffio==1.3.0
-    # via
-    #   anyio
-    #   httpx
-snowballstemmer==2.2.0
-    # via sphinx
-snowflake-connector-python[pandas]==3.5.0
-    # via
-    #   feast (setup.py)
-    #   snowflake-connector-python
-sortedcontainers==2.4.0
-    # via snowflake-connector-python
-soupsieve==2.5
-    # via beautifulsoup4
-sphinx==6.2.1
-    # via feast (setup.py)
-sphinxcontrib-applehelp==1.0.4
-    # via sphinx
-sphinxcontrib-devhelp==1.0.2
-    # via sphinx
-sphinxcontrib-htmlhelp==2.0.1
-    # via sphinx
-sphinxcontrib-jsmath==1.0.1
-    # via sphinx
-sphinxcontrib-qthelp==1.0.3
-    # via sphinx
-sphinxcontrib-serializinghtml==1.1.5
-    # via sphinx
-sqlalchemy[mypy]==1.4.50
-    # via
-    #   feast (setup.py)
-    #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
-    # via sqlalchemy
-stack-data==0.6.3
-    # via ipython
-starlette==0.27.0
-    # via fastapi
-tabulate==0.9.0
-    # via feast (setup.py)
-tenacity==8.2.3
-    # via feast (setup.py)
-terminado==0.18.0
-    # via
-    #   jupyter-server
-    #   jupyter-server-terminals
-testcontainers==3.7.1
-    # via feast (setup.py)
-thriftpy2==0.4.17
-    # via happybase
-tinycss2==1.2.1
-    # via nbconvert
-toml==0.10.2
-    # via feast (setup.py)
-tomli==2.0.1
-    # via
-    #   black
-    #   build
-    #   coverage
-    #   jupyterlab
-    #   mypy
-    #   pip-tools
-    #   pyproject-hooks
-    #   pytest
-tomlkit==0.12.3
-    # via snowflake-connector-python
-toolz==0.12.0
-    # via
-    #   altair
-    #   dask
-    #   partd
-tornado==6.3.3
-    # via
-    #   ipykernel
-    #   jupyter-client
-    #   jupyter-server
-    #   jupyterlab
-    #   notebook
-    #   terminado
-tqdm==4.66.1
-    # via
-    #   feast (setup.py)
-    #   great-expectations
-traitlets==5.13.0
-    # via
-    #   comm
-    #   ipykernel
-    #   ipython
-    #   ipywidgets
-    #   jupyter-client
-    #   jupyter-core
-    #   jupyter-events
-    #   jupyter-server
-    #   jupyterlab
-    #   matplotlib-inline
-    #   nbclient
-    #   nbconvert
-    #   nbformat
-trino==0.327.0
-    # via feast (setup.py)
-typeguard==2.13.3
-    # via feast (setup.py)
-types-protobuf==3.19.22
-    # via
-    #   feast (setup.py)
-    #   mypy-protobuf
-types-pymysql==1.1.0.1
-    # via feast (setup.py)
-types-pyopenssl==23.3.0.0
-    # via types-redis
-types-python-dateutil==2.8.19.14
-    # via
-    #   arrow
-    #   feast (setup.py)
-types-pytz==2023.3.1.1
-    # via feast (setup.py)
-types-pyyaml==6.0.12.12
-    # via feast (setup.py)
-types-redis==4.6.0.10
-    # via feast (setup.py)
-types-requests==2.30.0.0
-    # via feast (setup.py)
-types-setuptools==68.2.0.1
-    # via feast (setup.py)
-types-tabulate==0.9.0.3
-    # via feast (setup.py)
-types-urllib3==1.26.25.14
-    # via types-requests
-typing-extensions==4.8.0
-    # via
-    #   async-lru
-    #   azure-core
-    #   azure-storage-blob
-    #   black
-    #   fastapi
-    #   great-expectations
-    #   ipython
-    #   mypy
-    #   pydantic
-    #   snowflake-connector-python
-    #   sqlalchemy2-stubs
-    #   starlette
-    #   uvicorn
-tzlocal==5.2
-    # via
-    #   great-expectations
-    #   trino
-uri-template==1.3.0
-    # via jsonschema
-uritemplate==4.1.1
-    # via google-api-python-client
-urllib3==1.26.18
-    # via
-    #   botocore
-    #   docker
-    #   feast (setup.py)
-    #   great-expectations
-    #   kubernetes
-    #   minio
-    #   requests
-    #   responses
-    #   rockset
-    #   snowflake-connector-python
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
-uvloop==0.19.0
-    # via uvicorn
-virtualenv==20.23.0
-    # via
-    #   feast (setup.py)
-    #   pre-commit
-volatile==2.1.0
-    # via bowler
-watchfiles==0.21.0
-    # via uvicorn
-wcwidth==0.2.10
-    # via prompt-toolkit
-webcolors==1.13
-    # via jsonschema
-webencodings==0.5.1
-    # via
-    #   bleach
-    #   tinycss2
-websocket-client==1.6.4
-    # via
-    #   docker
-    #   jupyter-server
-    #   kubernetes
-websockets==12.0
-    # via uvicorn
-werkzeug==3.0.1
-    # via moto
-wheel==0.41.3
-    # via pip-tools
-widgetsnbextension==4.0.9
-    # via ipywidgets
-wrapt==1.16.0
-    # via testcontainers
-xmltodict==0.13.0
-    # via moto
-zipp==3.17.0
-    # via
-    #   importlib-metadata
-    #   importlib-resources
-
-# The following packages are considered to be unsafe in a requirements file:
-# pip
-# setuptools
diff --git a/sdk/python/requirements/py3.8-requirements.txt b/sdk/python/requirements/py3.8-requirements.txt
deleted file mode 100644
index 3f6a15a1ef..0000000000
--- a/sdk/python/requirements/py3.8-requirements.txt
+++ /dev/null
@@ -1,236 +0,0 @@
-#
-# This file is autogenerated by pip-compile with Python 3.8
-# by the following command:
-#
-#    pip-compile --output-file=sdk/python/requirements/py3.8-requirements.txt
-#
-anyio==4.0.0
-    # via
-    #   httpx
-    #   starlette
-    #   watchfiles
-appdirs==1.4.4
-    # via fissix
-attrs==23.1.0
-    # via
-    #   bowler
-    #   jsonschema
-    #   referencing
-bowler==0.9.0
-    # via feast (setup.py)
-certifi==2023.7.22
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
-charset-normalizer==3.3.2
-    # via requests
-click==8.1.7
-    # via
-    #   bowler
-    #   dask
-    #   feast (setup.py)
-    #   moreorless
-    #   uvicorn
-cloudpickle==3.0.0
-    # via dask
-colorama==0.4.6
-    # via feast (setup.py)
-dask==2023.5.0
-    # via feast (setup.py)
-dill==0.3.7
-    # via feast (setup.py)
-exceptiongroup==1.1.3
-    # via anyio
-fastapi==0.99.1
-    # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
-fissix==21.11.13
-    # via bowler
-fsspec==2023.10.0
-    # via dask
-greenlet==3.0.1
-    # via sqlalchemy
-grpcio==1.59.2
-    # via
-    #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
-grpcio-health-checking==1.59.2
-    # via feast (setup.py)
-grpcio-reflection==1.59.2
-    # via feast (setup.py)
-grpcio-tools==1.59.2
-    # via feast (setup.py)
-gunicorn==21.2.0
-    # via feast (setup.py)
-h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-httpcore==1.0.2
-    # via httpx
-httptools==0.6.1
-    # via uvicorn
-httpx==0.25.1
-    # via feast (setup.py)
-idna==3.4
-    # via
-    #   anyio
-    #   httpx
-    #   requests
-importlib-metadata==6.8.0
-    # via
-    #   dask
-    #   feast (setup.py)
-importlib-resources==6.1.1
-    # via
-    #   feast (setup.py)
-    #   jsonschema
-    #   jsonschema-specifications
-jinja2==3.1.2
-    # via feast (setup.py)
-jsonschema==4.20.0
-    # via feast (setup.py)
-jsonschema-specifications==2023.11.1
-    # via jsonschema
-locket==1.0.0
-    # via partd
-markupsafe==2.1.3
-    # via jinja2
-mmh3==4.0.1
-    # via feast (setup.py)
-moreorless==0.4.0
-    # via bowler
-mypy==1.7.0
-    # via sqlalchemy
-mypy-extensions==1.0.0
-    # via mypy
-mypy-protobuf==3.1.0
-    # via feast (setup.py)
-numpy==1.24.4
-    # via
-    #   feast (setup.py)
-    #   pandas
-    #   pandavro
-    #   pyarrow
-packaging==23.2
-    # via
-    #   dask
-    #   gunicorn
-pandas==1.5.3
-    # via
-    #   feast (setup.py)
-    #   pandavro
-pandavro==1.5.2
-    # via feast (setup.py)
-partd==1.4.1
-    # via dask
-pkgutil-resolve-name==1.3.10
-    # via jsonschema
-proto-plus==1.22.3
-    # via feast (setup.py)
-protobuf==4.23.3
-    # via
-    #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
-    #   mypy-protobuf
-    #   proto-plus
-pyarrow==14.0.1
-    # via feast (setup.py)
-pydantic==1.10.13
-    # via
-    #   fastapi
-    #   feast (setup.py)
-pygments==2.16.1
-    # via feast (setup.py)
-python-dateutil==2.8.2
-    # via pandas
-python-dotenv==1.0.0
-    # via uvicorn
-pytz==2023.3.post1
-    # via pandas
-pyyaml==6.0.1
-    # via
-    #   dask
-    #   feast (setup.py)
-    #   uvicorn
-referencing==0.31.0
-    # via
-    #   jsonschema
-    #   jsonschema-specifications
-requests==2.31.0
-    # via feast (setup.py)
-rpds-py==0.13.0
-    # via
-    #   jsonschema
-    #   referencing
-six==1.16.0
-    # via
-    #   pandavro
-    #   python-dateutil
-sniffio==1.3.0
-    # via
-    #   anyio
-    #   httpx
-sqlalchemy[mypy]==1.4.50
-    # via
-    #   feast (setup.py)
-    #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
-    # via sqlalchemy
-starlette==0.27.0
-    # via fastapi
-tabulate==0.9.0
-    # via feast (setup.py)
-tenacity==8.2.3
-    # via feast (setup.py)
-toml==0.10.2
-    # via feast (setup.py)
-tomli==2.0.1
-    # via mypy
-toolz==0.12.0
-    # via
-    #   dask
-    #   partd
-tqdm==4.66.1
-    # via feast (setup.py)
-typeguard==2.13.3
-    # via feast (setup.py)
-types-protobuf==4.24.0.4
-    # via mypy-protobuf
-typing-extensions==4.8.0
-    # via
-    #   fastapi
-    #   mypy
-    #   pydantic
-    #   sqlalchemy2-stubs
-    #   starlette
-    #   uvicorn
-urllib3==2.1.0
-    # via requests
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
-uvloop==0.19.0
-    # via uvicorn
-volatile==2.1.0
-    # via bowler
-watchfiles==0.21.0
-    # via uvicorn
-websockets==12.0
-    # via uvicorn
-zipp==3.17.0
-    # via
-    #   importlib-metadata
-    #   importlib-resources
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/requirements/py3.9-ci-requirements.txt b/sdk/python/requirements/py3.9-ci-requirements.txt
index 5bc9210fd8..717e82361a 100644
--- a/sdk/python/requirements/py3.9-ci-requirements.txt
+++ b/sdk/python/requirements/py3.9-ci-requirements.txt
@@ -4,11 +4,13 @@
 #
 #    pip-compile --extra=ci --output-file=sdk/python/requirements/py3.9-ci-requirements.txt
 #
-alabaster==0.7.13
+alabaster==0.7.16
     # via sphinx
-altair==4.2.0
+altair==4.2.2
     # via great-expectations
-anyio==4.0.0
+annotated-types==0.6.0
+    # via pydantic
+anyio==4.3.0
     # via
     #   httpx
     #   jupyter-server
@@ -16,6 +18,8 @@ anyio==4.0.0
     #   watchfiles
 appdirs==1.4.4
     # via fissix
+appnope==0.1.4
+    # via ipykernel
 argon2-cffi==23.1.0
     # via jupyter-server
 argon2-cffi-bindings==21.2.0
@@ -32,55 +36,55 @@ async-lru==2.0.4
     # via jupyterlab
 async-timeout==4.0.3
     # via redis
-attrs==23.1.0
+atpublic==4.0
+    # via ibis-framework
+attrs==23.2.0
     # via
     #   bowler
     #   jsonschema
     #   referencing
-avro==1.10.0
-    # via feast (setup.py)
-azure-core==1.29.5
+azure-core==1.30.1
     # via
     #   azure-identity
     #   azure-storage-blob
 azure-identity==1.15.0
     # via feast (setup.py)
-azure-storage-blob==12.19.0
+azure-storage-blob==12.19.1
     # via feast (setup.py)
-babel==2.13.1
+babel==2.14.0
     # via
     #   jupyterlab-server
     #   sphinx
-beautifulsoup4==4.12.2
+beautifulsoup4==4.12.3
     # via nbconvert
-black==22.12.0
-    # via feast (setup.py)
+bidict==0.23.1
+    # via ibis-framework
 bleach==6.1.0
     # via nbconvert
-boto3==1.29.2
+boto3==1.34.69
     # via
     #   feast (setup.py)
     #   moto
-botocore==1.32.2
+botocore==1.34.69
     # via
     #   boto3
     #   moto
     #   s3transfer
 bowler==0.9.0
     # via feast (setup.py)
-build==1.0.3
+build==1.1.1
     # via
     #   feast (setup.py)
     #   pip-tools
 bytewax==0.15.1
     # via feast (setup.py)
-cachecontrol==0.13.1
+cachecontrol==0.14.0
     # via firebase-admin
-cachetools==5.3.2
+cachetools==5.3.3
     # via google-auth
-cassandra-driver==3.28.0
+cassandra-driver==3.29.1
     # via feast (setup.py)
-certifi==2023.7.22
+certifi==2024.2.2
     # via
     #   httpcore
     #   httpx
@@ -101,7 +105,6 @@ charset-normalizer==3.3.2
     #   snowflake-connector-python
 click==8.1.7
     # via
-    #   black
     #   bowler
     #   dask
     #   feast (setup.py)
@@ -116,15 +119,13 @@ colorama==0.4.6
     # via
     #   feast (setup.py)
     #   great-expectations
-comm==0.2.0
+comm==0.2.2
     # via
     #   ipykernel
     #   ipywidgets
-coverage[toml]==7.3.2
-    # via
-    #   coverage
-    #   pytest-cov
-cryptography==41.0.5
+coverage[toml]==7.4.4
+    # via pytest-cov
+cryptography==42.0.5
     # via
     #   azure-identity
     #   azure-storage-blob
@@ -137,11 +138,11 @@ cryptography==41.0.5
     #   snowflake-connector-python
     #   types-pyopenssl
     #   types-redis
-dask==2023.11.0
+dask==2024.2.1
     # via feast (setup.py)
-db-dtypes==1.1.1
+db-dtypes==1.2.0
     # via google-cloud-bigquery
-debugpy==1.8.0
+debugpy==1.8.1
     # via ipykernel
 decorator==5.1.1
     # via ipython
@@ -149,22 +150,28 @@ defusedxml==0.7.1
     # via nbconvert
 deprecation==2.1.0
     # via testcontainers
-dill==0.3.7
+dill==0.3.8
     # via
     #   bytewax
     #   feast (setup.py)
     #   multiprocess
-distlib==0.3.7
+distlib==0.3.8
     # via virtualenv
-docker==6.1.3
+docker==7.0.0
     # via
     #   feast (setup.py)
     #   testcontainers
 docutils==0.19
     # via sphinx
+duckdb==0.10.1
+    # via
+    #   duckdb-engine
+    #   ibis-framework
+duckdb-engine==0.11.2
+    # via ibis-framework
 entrypoints==0.4
     # via altair
-exceptiongroup==1.1.3
+exceptiongroup==1.2.0
     # via
     #   anyio
     #   ipython
@@ -173,13 +180,9 @@ execnet==2.0.2
     # via pytest-xdist
 executing==2.0.1
     # via stack-data
-fastapi==0.99.1
+fastapi==0.110.0
     # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
-fastjsonschema==2.19.0
+fastjsonschema==2.19.1
     # via nbformat
 filelock==3.13.1
     # via
@@ -189,11 +192,9 @@ firebase-admin==5.4.0
     # via feast (setup.py)
 fissix==21.11.13
     # via bowler
-flake8==6.0.0
-    # via feast (setup.py)
 fqdn==1.5.1
     # via jsonschema
-fsspec==2023.9.2
+fsspec==2023.12.2
     # via
     #   dask
     #   feast (setup.py)
@@ -201,7 +202,7 @@ geojson==2.5.0
     # via rockset
 geomet==0.2.1.post1
     # via cassandra-driver
-google-api-core[grpc]==2.14.0
+google-api-core[grpc]==2.18.0
     # via
     #   feast (setup.py)
     #   firebase-admin
@@ -213,9 +214,9 @@ google-api-core[grpc]==2.14.0
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-api-python-client==2.108.0
+google-api-python-client==2.123.0
     # via firebase-admin
-google-auth==2.23.4
+google-auth==2.29.0
     # via
     #   google-api-core
     #   google-api-python-client
@@ -223,28 +224,26 @@ google-auth==2.23.4
     #   google-cloud-core
     #   google-cloud-storage
     #   kubernetes
-google-auth-httplib2==0.1.1
+google-auth-httplib2==0.2.0
     # via google-api-python-client
 google-cloud-bigquery[pandas]==3.12.0
-    # via
-    #   feast (setup.py)
-    #   google-cloud-bigquery
-google-cloud-bigquery-storage==2.22.0
     # via feast (setup.py)
-google-cloud-bigtable==2.21.0
+google-cloud-bigquery-storage==2.24.0
+    # via feast (setup.py)
+google-cloud-bigtable==2.23.0
     # via feast (setup.py)
-google-cloud-core==2.3.3
+google-cloud-core==2.4.1
     # via
     #   google-cloud-bigquery
     #   google-cloud-bigtable
     #   google-cloud-datastore
     #   google-cloud-firestore
     #   google-cloud-storage
-google-cloud-datastore==2.18.0
+google-cloud-datastore==2.19.0
     # via feast (setup.py)
-google-cloud-firestore==2.13.1
+google-cloud-firestore==2.15.0
     # via firebase-admin
-google-cloud-storage==2.13.0
+google-cloud-storage==2.16.0
     # via
     #   feast (setup.py)
     #   firebase-admin
@@ -252,23 +251,23 @@ google-crc32c==1.5.0
     # via
     #   google-cloud-storage
     #   google-resumable-media
-google-resumable-media==2.6.0
+google-resumable-media==2.7.0
     # via
     #   google-cloud-bigquery
     #   google-cloud-storage
-googleapis-common-protos[grpc]==1.61.0
+googleapis-common-protos[grpc]==1.63.0
     # via
     #   feast (setup.py)
     #   google-api-core
     #   grpc-google-iam-v1
     #   grpcio-status
-great-expectations==0.15.50
+great-expectations==0.18.12
     # via feast (setup.py)
-greenlet==3.0.1
+greenlet==3.0.3
     # via sqlalchemy
-grpc-google-iam-v1==0.12.7
+grpc-google-iam-v1==0.13.0
     # via google-cloud-bigtable
-grpcio==1.59.2
+grpcio==1.62.1
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -280,15 +279,15 @@ grpcio==1.59.2
     #   grpcio-status
     #   grpcio-testing
     #   grpcio-tools
-grpcio-health-checking==1.59.2
+grpcio-health-checking==1.62.1
     # via feast (setup.py)
-grpcio-reflection==1.59.2
+grpcio-reflection==1.62.1
     # via feast (setup.py)
-grpcio-status==1.59.2
+grpcio-status==1.62.1
     # via google-api-core
-grpcio-testing==1.59.2
+grpcio-testing==1.62.1
     # via feast (setup.py)
-grpcio-tools==1.59.2
+grpcio-tools==1.62.1
     # via feast (setup.py)
 gunicorn==21.2.0
     # via feast (setup.py)
@@ -300,9 +299,9 @@ happybase==1.2.0
     # via feast (setup.py)
 hazelcast-python-client==5.3.0
     # via feast (setup.py)
-hiredis==2.2.3
+hiredis==2.3.2
     # via feast (setup.py)
-httpcore==1.0.2
+httpcore==1.0.4
     # via httpx
 httplib2==0.22.0
     # via
@@ -310,11 +309,19 @@ httplib2==0.22.0
     #   google-auth-httplib2
 httptools==0.6.1
     # via uvicorn
-httpx==0.25.1
+httpx==0.27.0
+    # via
+    #   feast (setup.py)
+    #   jupyterlab
+ibis-framework[duckdb]==8.0.0
+    # via
+    #   feast (setup.py)
+    #   ibis-substrait
+ibis-substrait==3.2.0
     # via feast (setup.py)
-identify==2.5.31
+identify==2.5.35
     # via pre-commit
-idna==3.4
+idna==3.7
     # via
     #   anyio
     #   httpx
@@ -323,40 +330,38 @@ idna==3.4
     #   snowflake-connector-python
 imagesize==1.4.1
     # via sphinx
-importlib-metadata==6.8.0
+importlib-metadata==6.11.0
     # via
     #   build
     #   dask
     #   feast (setup.py)
-    #   great-expectations
     #   jupyter-client
     #   jupyter-lsp
     #   jupyterlab
     #   jupyterlab-server
     #   nbconvert
     #   sphinx
-importlib-resources==6.1.1
+    #   typeguard
+importlib-resources==6.4.0
     # via feast (setup.py)
 iniconfig==2.0.0
     # via pytest
-ipykernel==6.26.0
+ipykernel==6.29.3
     # via jupyterlab
-ipython==8.17.2
+ipython==8.18.1
     # via
     #   great-expectations
     #   ipykernel
     #   ipywidgets
-ipywidgets==8.1.1
+ipywidgets==8.1.2
     # via great-expectations
 isodate==0.6.1
     # via azure-storage-blob
 isoduration==20.11.0
     # via jsonschema
-isort==5.12.0
-    # via feast (setup.py)
 jedi==0.19.1
     # via ipython
-jinja2==3.1.2
+jinja2==3.1.3
     # via
     #   altair
     #   feast (setup.py)
@@ -371,7 +376,7 @@ jmespath==1.0.1
     # via
     #   boto3
     #   botocore
-json5==0.9.14
+json5==0.9.24
     # via jupyterlab-server
 jsonpatch==1.33
     # via great-expectations
@@ -379,7 +384,7 @@ jsonpointer==2.4
     # via
     #   jsonpatch
     #   jsonschema
-jsonschema[format-nongpl]==4.20.0
+jsonschema[format-nongpl]==4.21.1
     # via
     #   altair
     #   feast (setup.py)
@@ -387,14 +392,14 @@ jsonschema[format-nongpl]==4.20.0
     #   jupyter-events
     #   jupyterlab-server
     #   nbformat
-jsonschema-specifications==2023.11.1
+jsonschema-specifications==2023.12.1
     # via jsonschema
-jupyter-client==8.6.0
+jupyter-client==8.6.1
     # via
     #   ipykernel
     #   jupyter-server
     #   nbclient
-jupyter-core==5.5.0
+jupyter-core==5.7.2
     # via
     #   ipykernel
     #   jupyter-client
@@ -403,28 +408,28 @@ jupyter-core==5.5.0
     #   nbclient
     #   nbconvert
     #   nbformat
-jupyter-events==0.9.0
+jupyter-events==0.10.0
     # via jupyter-server
-jupyter-lsp==2.2.0
+jupyter-lsp==2.2.4
     # via jupyterlab
-jupyter-server==2.10.1
+jupyter-server==2.13.0
     # via
     #   jupyter-lsp
     #   jupyterlab
     #   jupyterlab-server
     #   notebook
     #   notebook-shim
-jupyter-server-terminals==0.4.4
+jupyter-server-terminals==0.5.3
     # via jupyter-server
-jupyterlab==4.0.8
+jupyterlab==4.1.5
     # via notebook
-jupyterlab-pygments==0.2.2
+jupyterlab-pygments==0.3.0
     # via nbconvert
-jupyterlab-server==2.25.1
+jupyterlab-server==2.25.4
     # via
     #   jupyterlab
     #   notebook
-jupyterlab-widgets==3.0.9
+jupyterlab-widgets==3.0.10
     # via ipywidgets
 kubernetes==20.13.0
     # via feast (setup.py)
@@ -432,72 +437,72 @@ locket==1.0.0
     # via partd
 makefun==1.15.2
     # via great-expectations
-markupsafe==2.1.3
+markdown-it-py==3.0.0
+    # via rich
+markupsafe==2.1.5
     # via
     #   jinja2
     #   nbconvert
     #   werkzeug
-marshmallow==3.20.1
+marshmallow==3.21.1
     # via great-expectations
 matplotlib-inline==0.1.6
     # via
     #   ipykernel
     #   ipython
-mccabe==0.7.0
-    # via flake8
+mdurl==0.1.2
+    # via markdown-it-py
 minio==7.1.0
     # via feast (setup.py)
 mistune==3.0.2
     # via
     #   great-expectations
     #   nbconvert
-mmh3==4.0.1
+mmh3==4.1.0
     # via feast (setup.py)
 mock==2.0.0
     # via feast (setup.py)
 moreorless==0.4.0
     # via bowler
-moto==4.2.9
+moto==4.2.14
     # via feast (setup.py)
-msal==1.25.0
+msal==1.28.0
     # via
     #   azure-identity
     #   msal-extensions
-msal-extensions==1.0.0
+msal-extensions==1.1.0
     # via azure-identity
-msgpack==1.0.7
+msgpack==1.0.8
     # via cachecontrol
-multiprocess==0.70.15
+multipledispatch==1.0.0
+    # via ibis-framework
+multiprocess==0.70.16
     # via bytewax
-mypy==0.982
+mypy==1.9.0
     # via
     #   feast (setup.py)
     #   sqlalchemy
 mypy-extensions==1.0.0
-    # via
-    #   black
-    #   mypy
-mypy-protobuf==3.1.0
+    # via mypy
+mypy-protobuf==3.3.0
     # via feast (setup.py)
-mysqlclient==2.2.0
-    # via feast (setup.py)
-nbclient==0.9.0
+nbclient==0.10.0
     # via nbconvert
-nbconvert==7.11.0
+nbconvert==7.16.3
     # via jupyter-server
-nbformat==5.9.2
+nbformat==5.10.3
     # via
     #   great-expectations
     #   jupyter-server
     #   nbclient
     #   nbconvert
-nest-asyncio==1.5.8
+nest-asyncio==1.6.0
     # via ipykernel
 nodeenv==1.8.0
     # via pre-commit
-notebook==7.0.6
+notebook==7.1.2
     # via great-expectations
-notebook-shim==0.2.3
+notebook-shim==0.2.4
     # via
     #   jupyterlab
     #   notebook
@@ -507,15 +512,15 @@ numpy==1.24.4
     #   db-dtypes
     #   feast (setup.py)
     #   great-expectations
+    #   ibis-framework
     #   pandas
-    #   pandavro
     #   pyarrow
     #   scipy
 oauthlib==3.2.2
     # via requests-oauthlib
-overrides==7.4.0
+overrides==7.7.0
     # via jupyter-server
-packaging==23.2
+packaging==24.0
     # via
     #   build
     #   dask
@@ -525,47 +530,46 @@ packaging==23.2
     #   google-cloud-bigquery
     #   great-expectations
     #   gunicorn
+    #   ibis-substrait
     #   ipykernel
     #   jupyter-server
     #   jupyterlab
     #   jupyterlab-server
     #   marshmallow
+    #   msal-extensions
     #   nbconvert
     #   pytest
     #   snowflake-connector-python
     #   sphinx
-pandas==1.5.3
+pandas==2.2.1
     # via
     #   altair
     #   db-dtypes
     #   feast (setup.py)
     #   google-cloud-bigquery
     #   great-expectations
-    #   pandavro
+    #   ibis-framework
     #   snowflake-connector-python
-pandavro==1.5.2
-    # via feast (setup.py)
-pandocfilters==1.5.0
+pandocfilters==1.5.1
     # via nbconvert
 parso==0.8.3
     # via jedi
+parsy==2.1
+    # via ibis-framework
 partd==1.4.1
     # via dask
-pathspec==0.11.2
-    # via black
 pbr==6.0.0
     # via mock
-pexpect==4.8.0
+pexpect==4.9.0
     # via ipython
-pip-tools==7.3.0
+pip-tools==7.4.1
     # via feast (setup.py)
 platformdirs==3.11.0
     # via
-    #   black
     #   jupyter-core
     #   snowflake-connector-python
     #   virtualenv
-pluggy==1.3.0
+pluggy==1.4.0
     # via pytest
 ply==3.11
     # via thriftpy2
@@ -573,19 +577,19 @@ portalocker==2.8.2
     # via msal-extensions
 pre-commit==3.3.1
     # via feast (setup.py)
-prometheus-client==0.18.0
+prometheus-client==0.20.0
     # via jupyter-server
-prompt-toolkit==3.0.41
+prompt-toolkit==3.0.43
     # via ipython
-proto-plus==1.22.3
+proto-plus==1.23.0
     # via
-    #   feast (setup.py)
+    #   google-api-core
     #   google-cloud-bigquery
     #   google-cloud-bigquery-storage
     #   google-cloud-bigtable
     #   google-cloud-datastore
     #   google-cloud-firestore
-protobuf==4.23.3
+protobuf==4.25.3
     # via
     #   feast (setup.py)
     #   google-api-core
@@ -603,6 +607,7 @@ protobuf==4.23.3
     #   grpcio-tools
     #   mypy-protobuf
     #   proto-plus
+    #   substrait
 psutil==5.9.0
     # via
     #   feast (setup.py)
@@ -621,13 +626,16 @@ py-cpuinfo==9.0.0
     # via pytest-benchmark
 py4j==0.10.9.7
     # via pyspark
-pyarrow==14.0.1
+pyarrow==15.0.2
     # via
     #   db-dtypes
     #   feast (setup.py)
     #   google-cloud-bigquery
+    #   ibis-framework
     #   snowflake-connector-python
-pyasn1==0.5.0
+pyarrow-hotfix==0.6
+    # via ibis-framework
+pyasn1==0.5.1
     # via
     #   pyasn1-modules
     #   rsa
@@ -635,48 +643,50 @@ pyasn1-modules==0.3.0
     # via google-auth
 pybindgen==0.22.1
     # via feast (setup.py)
-pycodestyle==2.10.0
-    # via flake8
 pycparser==2.21
     # via cffi
-pydantic==1.10.13
+pydantic==2.6.4
     # via
     #   fastapi
     #   feast (setup.py)
     #   great-expectations
-pyflakes==3.0.1
-    # via flake8
-pygments==2.16.1
+pydantic-core==2.16.3
+    # via pydantic
+pygments==2.17.2
     # via
     #   feast (setup.py)
     #   ipython
     #   nbconvert
+    #   rich
     #   sphinx
 pyjwt[crypto]==2.8.0
     # via
     #   msal
     #   snowflake-connector-python
-pymssql==2.2.10
+pymssql==2.2.11
     # via feast (setup.py)
 pymysql==1.1.0
     # via feast (setup.py)
-pyodbc==5.0.1
+pyodbc==5.1.0
     # via feast (setup.py)
-pyopenssl==23.3.0
+pyopenssl==24.1.0
     # via snowflake-connector-python
-pyparsing==3.1.1
+pyparsing==3.1.2
     # via
     #   great-expectations
     #   httplib2
 pyproject-hooks==1.0.0
-    # via build
-pyspark==3.5.0
+    # via
+    #   build
+    #   pip-tools
+pyspark==3.5.1
     # via feast (setup.py)
-pytest==7.4.3
+pytest==7.4.4
     # via
     #   feast (setup.py)
     #   pytest-benchmark
     #   pytest-cov
+    #   pytest-env
     #   pytest-lazy-fixture
     #   pytest-mock
     #   pytest-ordering
@@ -686,6 +696,8 @@ pytest-benchmark==3.4.1
     # via feast (setup.py)
 pytest-cov==4.1.0
     # via feast (setup.py)
+pytest-env==1.1.3
+    # via feast (setup.py)
 pytest-lazy-fixture==0.6.3
     # via feast (setup.py)
 pytest-mock==1.10.4
@@ -694,27 +706,29 @@ pytest-ordering==0.6
     # via feast (setup.py)
 pytest-timeout==1.4.2
     # via feast (setup.py)
-pytest-xdist==3.4.0
+pytest-xdist==3.5.0
     # via feast (setup.py)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via
     #   arrow
     #   botocore
     #   google-cloud-bigquery
     #   great-expectations
+    #   ibis-framework
     #   jupyter-client
     #   kubernetes
     #   moto
     #   pandas
     #   rockset
     #   trino
-python-dotenv==1.0.0
+python-dotenv==1.0.1
     # via uvicorn
 python-json-logger==2.0.7
     # via jupyter-events
-pytz==2023.3.post1
+pytz==2024.1
     # via
     #   great-expectations
+    #   ibis-framework
     #   pandas
     #   snowflake-connector-python
     #   trino
@@ -722,24 +736,25 @@ pyyaml==6.0.1
     # via
     #   dask
     #   feast (setup.py)
+    #   ibis-substrait
     #   jupyter-events
     #   kubernetes
     #   pre-commit
     #   responses
     #   uvicorn
-pyzmq==25.1.1
+pyzmq==25.1.2
     # via
     #   ipykernel
     #   jupyter-client
     #   jupyter-server
 redis==4.6.0
     # via feast (setup.py)
-referencing==0.31.0
+referencing==0.34.0
     # via
     #   jsonschema
     #   jsonschema-specifications
     #   jupyter-events
-regex==2023.10.3
+regex==2023.12.25
     # via feast (setup.py)
 requests==2.31.0
     # via
@@ -760,9 +775,9 @@ requests==2.31.0
     #   snowflake-connector-python
     #   sphinx
     #   trino
-requests-oauthlib==1.3.1
+requests-oauthlib==2.0.0
     # via kubernetes
-responses==0.24.1
+responses==0.25.0
     # via moto
 rfc3339-validator==0.1.4
     # via
@@ -772,9 +787,11 @@ rfc3986-validator==0.1.1
     # via
     #   jsonschema
     #   jupyter-events
-rockset==2.1.0
+rich==13.7.1
+    # via ibis-framework
+rockset==2.1.1
     # via feast (setup.py)
-rpds-py==0.13.0
+rpds-py==0.18.0
     # via
     #   jsonschema
     #   referencing
@@ -784,9 +801,11 @@ ruamel-yaml==0.17.17
     # via great-expectations
 ruamel-yaml-clib==0.2.8
     # via ruamel-yaml
-s3transfer==0.7.0
+ruff==0.3.3
+    # via feast (setup.py)
+s3transfer==0.10.1
     # via boto3
-scipy==1.11.3
+scipy==1.12.0
     # via great-expectations
 send2trash==1.8.2
     # via jupyter-server
@@ -795,71 +814,70 @@ six==1.16.0
     #   asttokens
     #   azure-core
     #   bleach
-    #   cassandra-driver
     #   geomet
     #   happybase
     #   isodate
     #   kubernetes
     #   mock
-    #   pandavro
     #   python-dateutil
     #   rfc3339-validator
     #   thriftpy2
-sniffio==1.3.0
+sniffio==1.3.1
     # via
     #   anyio
     #   httpx
 snowballstemmer==2.2.0
     # via sphinx
-snowflake-connector-python[pandas]==3.5.0
-    # via
-    #   feast (setup.py)
-    #   snowflake-connector-python
+snowflake-connector-python[pandas]==3.7.1
+    # via feast (setup.py)
 sortedcontainers==2.4.0
     # via snowflake-connector-python
 soupsieve==2.5
     # via beautifulsoup4
 sphinx==6.2.1
-    # via
-    #   feast (setup.py)
-    #   sphinxcontrib-applehelp
-    #   sphinxcontrib-devhelp
-    #   sphinxcontrib-htmlhelp
-    #   sphinxcontrib-qthelp
-    #   sphinxcontrib-serializinghtml
-sphinxcontrib-applehelp==1.0.7
+    # via feast (setup.py)
+sphinxcontrib-applehelp==1.0.8
     # via sphinx
-sphinxcontrib-devhelp==1.0.5
+sphinxcontrib-devhelp==1.0.6
     # via sphinx
-sphinxcontrib-htmlhelp==2.0.4
+sphinxcontrib-htmlhelp==2.0.5
     # via sphinx
 sphinxcontrib-jsmath==1.0.1
     # via sphinx
-sphinxcontrib-qthelp==1.0.6
+sphinxcontrib-qthelp==1.0.7
     # via sphinx
-sphinxcontrib-serializinghtml==1.1.9
+sphinxcontrib-serializinghtml==1.1.10
     # via sphinx
-sqlalchemy[mypy]==1.4.50
+sqlalchemy[mypy]==1.4.52
     # via
+    #   duckdb-engine
     #   feast (setup.py)
+    #   ibis-framework
     #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
+    #   sqlalchemy-views
+sqlalchemy-views==0.3.2
+    # via ibis-framework
+sqlalchemy2-stubs==0.0.2a38
     # via sqlalchemy
+sqlglot==20.11.0
+    # via ibis-framework
 stack-data==0.6.3
     # via ipython
-starlette==0.27.0
+starlette==0.36.3
     # via fastapi
+substrait==0.14.1
+    # via ibis-substrait
 tabulate==0.9.0
     # via feast (setup.py)
 tenacity==8.2.3
     # via feast (setup.py)
-terminado==0.18.0
+terminado==0.18.1
     # via
     #   jupyter-server
     #   jupyter-server-terminals
 testcontainers==3.7.1
     # via feast (setup.py)
-thriftpy2==0.4.17
+thriftpy2==0.4.20
     # via happybase
 tinycss2==1.2.1
     # via nbconvert
@@ -867,7 +885,6 @@ toml==0.10.2
     # via feast (setup.py)
 tomli==2.0.1
     # via
-    #   black
     #   build
     #   coverage
     #   jupyterlab
@@ -875,14 +892,16 @@ tomli==2.0.1
     #   pip-tools
     #   pyproject-hooks
     #   pytest
-tomlkit==0.12.3
+    #   pytest-env
+tomlkit==0.12.4
     # via snowflake-connector-python
-toolz==0.12.0
+toolz==0.12.1
     # via
     #   altair
     #   dask
+    #   ibis-framework
     #   partd
-tornado==6.3.3
+tornado==6.4
     # via
     #   ipykernel
     #   jupyter-client
@@ -890,11 +909,11 @@ tornado==6.3.3
     #   jupyterlab
     #   notebook
     #   terminado
-tqdm==4.66.1
+tqdm==4.66.2
     # via
     #   feast (setup.py)
     #   great-expectations
-traitlets==5.13.0
+traitlets==5.14.2
     # via
     #   comm
     #   ipykernel
@@ -909,9 +928,9 @@ traitlets==5.13.0
     #   nbclient
     #   nbconvert
     #   nbformat
-trino==0.327.0
+trino==0.328.0
     # via feast (setup.py)
-typeguard==2.13.3
+typeguard==4.2.1
     # via feast (setup.py)
 types-protobuf==3.19.22
     # via
@@ -919,41 +938,46 @@ types-protobuf==3.19.22
     #   mypy-protobuf
 types-pymysql==1.1.0.1
     # via feast (setup.py)
-types-pyopenssl==23.3.0.0
+types-pyopenssl==24.0.0.20240311
     # via types-redis
-types-python-dateutil==2.8.19.14
+types-python-dateutil==2.9.0.20240316
     # via
     #   arrow
     #   feast (setup.py)
-types-pytz==2023.3.1.1
+types-pytz==2024.1.0.20240203
     # via feast (setup.py)
-types-pyyaml==6.0.12.12
+types-pyyaml==6.0.12.20240311
     # via feast (setup.py)
-types-redis==4.6.0.10
+types-redis==4.6.0.20240311
     # via feast (setup.py)
 types-requests==2.30.0.0
     # via feast (setup.py)
-types-setuptools==68.2.0.1
+types-setuptools==69.2.0.20240317
     # via feast (setup.py)
-types-tabulate==0.9.0.3
+types-tabulate==0.9.0.20240106
     # via feast (setup.py)
 types-urllib3==1.26.25.14
     # via types-requests
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via
+    #   anyio
     #   async-lru
     #   azure-core
     #   azure-storage-blob
-    #   black
     #   fastapi
     #   great-expectations
+    #   ibis-framework
     #   ipython
     #   mypy
     #   pydantic
+    #   pydantic-core
     #   snowflake-connector-python
     #   sqlalchemy2-stubs
     #   starlette
+    #   typeguard
     #   uvicorn
+tzdata==2024.1
+    # via pandas
 tzlocal==5.2
     # via
     #   great-expectations
@@ -974,10 +998,8 @@ urllib3==1.26.18
     #   responses
     #   rockset
     #   snowflake-connector-python
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
+uvicorn[standard]==0.29.0
+    # via feast (setup.py)
 uvloop==0.19.0
     # via uvicorn
 virtualenv==20.23.0
@@ -988,7 +1010,7 @@ volatile==2.1.0
     # via bowler
 watchfiles==0.21.0
     # via uvicorn
-wcwidth==0.2.10
+wcwidth==0.2.13
     # via prompt-toolkit
 webcolors==1.13
     # via jsonschema
@@ -996,24 +1018,23 @@ webencodings==0.5.1
     # via
     #   bleach
     #   tinycss2
-websocket-client==1.6.4
+websocket-client==1.7.0
     # via
-    #   docker
     #   jupyter-server
     #   kubernetes
 websockets==12.0
     # via uvicorn
 werkzeug==3.0.1
     # via moto
-wheel==0.41.3
+wheel==0.43.0
     # via pip-tools
-widgetsnbextension==4.0.9
+widgetsnbextension==4.0.10
     # via ipywidgets
 wrapt==1.16.0
     # via testcontainers
 xmltodict==0.13.0
     # via moto
-zipp==3.17.0
+zipp==3.18.1
     # via
     #   importlib-metadata
     #   importlib-resources
diff --git a/sdk/python/requirements/py3.9-requirements.txt b/sdk/python/requirements/py3.9-requirements.txt
index 120ecf9eb3..5d1b681405 100644
--- a/sdk/python/requirements/py3.9-requirements.txt
+++ b/sdk/python/requirements/py3.9-requirements.txt
@@ -4,25 +4,23 @@
 #
 #    pip-compile --output-file=sdk/python/requirements/py3.9-requirements.txt
 #
-anyio==4.0.0
+annotated-types==0.6.0
+    # via pydantic
+anyio==4.3.0
     # via
-    #   httpx
     #   starlette
     #   watchfiles
 appdirs==1.4.4
     # via fissix
-attrs==23.1.0
+attrs==23.2.0
     # via
     #   bowler
     #   jsonschema
     #   referencing
 bowler==0.9.0
     # via feast (setup.py)
-certifi==2023.7.22
-    # via
-    #   httpcore
-    #   httpx
-    #   requests
+certifi==2024.2.2
+    # via requests
 charset-normalizer==3.3.2
     # via requests
 click==8.1.7
@@ -36,151 +34,116 @@ cloudpickle==3.0.0
     # via dask
 colorama==0.4.6
     # via feast (setup.py)
-dask==2023.11.0
+dask==2024.2.1
     # via feast (setup.py)
-dill==0.3.7
+dill==0.3.8
     # via feast (setup.py)
-exceptiongroup==1.1.3
+exceptiongroup==1.2.0
     # via anyio
-fastapi==0.99.1
+fastapi==0.110.0
     # via feast (setup.py)
-fastavro==1.9.0
-    # via
-    #   feast (setup.py)
-    #   pandavro
 fissix==21.11.13
     # via bowler
-fsspec==2023.10.0
+fsspec==2024.3.1
     # via dask
-greenlet==3.0.1
+greenlet==3.0.3
     # via sqlalchemy
-grpcio==1.59.2
-    # via
-    #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
-grpcio-health-checking==1.59.2
-    # via feast (setup.py)
-grpcio-reflection==1.59.2
-    # via feast (setup.py)
-grpcio-tools==1.59.2
-    # via feast (setup.py)
 gunicorn==21.2.0
     # via feast (setup.py)
 h11==0.14.0
-    # via
-    #   httpcore
-    #   uvicorn
-httpcore==1.0.2
-    # via httpx
+    # via uvicorn
 httptools==0.6.1
     # via uvicorn
-httpx==0.25.1
-    # via feast (setup.py)
-idna==3.4
+idna==3.7
     # via
     #   anyio
-    #   httpx
     #   requests
-importlib-metadata==6.8.0
+importlib-metadata==6.11.0
     # via
     #   dask
     #   feast (setup.py)
-importlib-resources==6.1.1
+    #   typeguard
+importlib-resources==6.4.0
     # via feast (setup.py)
-jinja2==3.1.2
+jinja2==3.1.3
     # via feast (setup.py)
-jsonschema==4.20.0
+jsonschema==4.21.1
     # via feast (setup.py)
-jsonschema-specifications==2023.11.1
+jsonschema-specifications==2023.12.1
     # via jsonschema
 locket==1.0.0
     # via partd
-markupsafe==2.1.3
+markupsafe==2.1.5
     # via jinja2
-mmh3==4.0.1
+mmh3==4.1.0
     # via feast (setup.py)
 moreorless==0.4.0
     # via bowler
-mypy==1.7.0
+mypy==1.9.0
     # via sqlalchemy
 mypy-extensions==1.0.0
     # via mypy
-mypy-protobuf==3.1.0
+mypy-protobuf==3.5.0
     # via feast (setup.py)
 numpy==1.24.4
     # via
     #   feast (setup.py)
     #   pandas
-    #   pandavro
     #   pyarrow
-packaging==23.2
+packaging==24.0
     # via
     #   dask
     #   gunicorn
-pandas==1.5.3
-    # via
-    #   feast (setup.py)
-    #   pandavro
-pandavro==1.5.2
+pandas==2.2.1
     # via feast (setup.py)
 partd==1.4.1
     # via dask
-proto-plus==1.22.3
-    # via feast (setup.py)
-protobuf==4.23.3
+protobuf==4.25.3
     # via
     #   feast (setup.py)
-    #   grpcio-health-checking
-    #   grpcio-reflection
-    #   grpcio-tools
     #   mypy-protobuf
-    #   proto-plus
-pyarrow==14.0.1
+pyarrow==15.0.2
     # via feast (setup.py)
-pydantic==1.10.13
+pydantic==2.6.4
     # via
     #   fastapi
     #   feast (setup.py)
-pygments==2.16.1
+pydantic-core==2.16.3
+    # via pydantic
+pygments==2.17.2
     # via feast (setup.py)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via pandas
-python-dotenv==1.0.0
+python-dotenv==1.0.1
     # via uvicorn
-pytz==2023.3.post1
+pytz==2024.1
     # via pandas
 pyyaml==6.0.1
     # via
     #   dask
     #   feast (setup.py)
     #   uvicorn
-referencing==0.31.0
+referencing==0.34.0
     # via
     #   jsonschema
     #   jsonschema-specifications
 requests==2.31.0
     # via feast (setup.py)
-rpds-py==0.13.0
+rpds-py==0.18.0
     # via
     #   jsonschema
     #   referencing
 six==1.16.0
-    # via
-    #   pandavro
-    #   python-dateutil
-sniffio==1.3.0
-    # via
-    #   anyio
-    #   httpx
-sqlalchemy[mypy]==1.4.50
+    # via python-dateutil
+sniffio==1.3.1
+    # via anyio
+sqlalchemy[mypy]==1.4.52
     # via
     #   feast (setup.py)
     #   sqlalchemy
-sqlalchemy2-stubs==0.0.2a37
+sqlalchemy2-stubs==0.0.2a38
     # via sqlalchemy
-starlette==0.27.0
+starlette==0.36.3
     # via fastapi
 tabulate==0.9.0
     # via feast (setup.py)
@@ -190,30 +153,33 @@ toml==0.10.2
     # via feast (setup.py)
 tomli==2.0.1
     # via mypy
-toolz==0.12.0
+toolz==0.12.1
     # via
     #   dask
     #   partd
-tqdm==4.66.1
+tqdm==4.66.2
     # via feast (setup.py)
-typeguard==2.13.3
+typeguard==4.2.1
     # via feast (setup.py)
-types-protobuf==4.24.0.4
+types-protobuf==4.24.0.20240311
     # via mypy-protobuf
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via
+    #   anyio
     #   fastapi
     #   mypy
     #   pydantic
+    #   pydantic-core
     #   sqlalchemy2-stubs
     #   starlette
+    #   typeguard
     #   uvicorn
-urllib3==2.1.0
+tzdata==2024.1
+    # via pandas
+urllib3==2.2.1
     # via requests
-uvicorn[standard]==0.24.0.post1
-    # via
-    #   feast (setup.py)
-    #   uvicorn
+uvicorn[standard]==0.29.0
+    # via feast (setup.py)
 uvloop==0.19.0
     # via uvicorn
 volatile==2.1.0
@@ -222,10 +188,7 @@ watchfiles==0.21.0
     # via uvicorn
 websockets==12.0
     # via uvicorn
-zipp==3.17.0
+zipp==3.18.1
     # via
     #   importlib-metadata
     #   importlib-resources
-
-# The following packages are considered to be unsafe in a requirements file:
-# setuptools
diff --git a/sdk/python/setup.cfg b/sdk/python/setup.cfg
deleted file mode 100644
index d934249d69..0000000000
--- a/sdk/python/setup.cfg
+++ /dev/null
@@ -1,22 +0,0 @@
-[isort]
-src_paths = feast,tests
-multi_line_output=3
-include_trailing_comma=True
-force_grid_wrap=0
-use_parentheses=True
-line_length=88
-skip=feast/protos,feast/embedded_go/lib
-known_first_party=feast,feast_serving_server,feast_core_server
-default_section=THIRDPARTY
-
-[flake8]
-ignore = E203, E266, E501, W503, C901
-max-line-length = 88
-max-complexity = 20
-select = B,C,E,F,W,T4
-exclude = .git,__pycache__,docs/conf.py,dist,feast/protos,feast/embedded_go/lib,feast/infra/utils/snowflake/snowpark/snowflake_udfs.py
-
-[mypy]
-files=feast,tests
-ignore_missing_imports=true
-exclude=feast/embedded_go/lib
diff --git a/sdk/python/tests/conftest.py b/sdk/python/tests/conftest.py
index 728bd9b34f..6abe30822f 100644
--- a/sdk/python/tests/conftest.py
+++ b/sdk/python/tests/conftest.py
@@ -13,22 +13,23 @@
 # limitations under the License.
 import logging
 import multiprocessing
-import os
 import random
 from datetime import datetime, timedelta
 from multiprocessing import Process
 from sys import platform
-from typing import Any, Dict, List, Tuple
+from typing import Any, Dict, List, Tuple, no_type_check
 
 import pandas as pd
 import pytest
 from _pytest.nodes import Item
 
-os.environ["FEAST_USAGE"] = "False"
-os.environ["IS_TEST"] = "True"
+from feast.data_source import DataSource
 from feast.feature_store import FeatureStore  # noqa: E402
 from feast.wait import wait_retry_backoff  # noqa: E402
-from tests.data.data_creator import create_basic_driver_dataset  # noqa: E402
+from tests.data.data_creator import (  # noqa: E402
+    create_basic_driver_dataset,
+    create_document_dataset,
+)
 from tests.integration.feature_repos.integration_test_repo_config import (  # noqa: E402
     IntegrationTestRepoConfig,
 )
@@ -187,9 +188,10 @@ def environment(request, worker_id):
         e.online_store_creator.teardown()
 
 
-_config_cache = {}
+_config_cache: Any = {}
 
 
+@no_type_check
 def pytest_generate_tests(metafunc: pytest.Metafunc):
     """
     This function receives each test function (wrapped in Metafunc)
@@ -407,3 +409,13 @@ def fake_ingest_data():
         "created": [pd.Timestamp(datetime.utcnow()).round("ms")],
     }
     return pd.DataFrame(data)
+
+
+@pytest.fixture
+def fake_document_data(environment: Environment) -> Tuple[pd.DataFrame, DataSource]:
+    df = create_document_dataset()
+    data_source = environment.data_source_creator.create_data_source(
+        df,
+        environment.feature_store.project,
+    )
+    return df, data_source
diff --git a/sdk/python/tests/data/data_creator.py b/sdk/python/tests/data/data_creator.py
index 2155468445..1be96f753a 100644
--- a/sdk/python/tests/data/data_creator.py
+++ b/sdk/python/tests/data/data_creator.py
@@ -9,7 +9,7 @@
 
 def create_basic_driver_dataset(
     entity_type: FeastType = Int32,
-    feature_dtype: str = None,
+    feature_dtype: Optional[str] = None,
     feature_is_list: bool = False,
     list_has_empty_list: bool = False,
 ) -> pd.DataFrame:
@@ -59,6 +59,7 @@ def get_feature_values_for_dtype(
         "int64": [1, 2, 3, 4, 5],
         "float": [1.0, None, 3.0, 4.0, 5.0],
         "string": ["1", None, "3", "4", "5"],
+        "bytes": [b"1", None, b"3", b"4", b"5"],
         "bool": [True, None, False, True, False],
         "datetime": [
             datetime(1980, 1, 1),
@@ -77,3 +78,22 @@ def get_feature_values_for_dtype(
         return [[n, n] if n is not None else None for n in non_list_val]
     else:
         return non_list_val
+
+
+def create_document_dataset() -> pd.DataFrame:
+    data = {
+        "item_id": [1, 2, 3],
+        "embedding_float": [[4.0, 5.0], [1.0, 2.0], [3.0, 4.0]],
+        "embedding_double": [[4.0, 5.0], [1.0, 2.0], [3.0, 4.0]],
+        "ts": [
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+        ],
+        "created_ts": [
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+            pd.Timestamp(datetime.utcnow()).round("ms"),
+        ],
+    }
+    return pd.DataFrame(data)
diff --git a/sdk/python/tests/example_repos/example_feature_repo_1.py b/sdk/python/tests/example_repos/example_feature_repo_1.py
index eca9aee57c..fbf1fbb9b0 100644
--- a/sdk/python/tests/example_repos/example_feature_repo_1.py
+++ b/sdk/python/tests/example_repos/example_feature_repo_1.py
@@ -1,6 +1,9 @@
 from datetime import timedelta
 
+import pandas as pd
+
 from feast import Entity, FeatureService, FeatureView, Field, FileSource, PushSource
+from feast.on_demand_feature_view import on_demand_feature_view
 from feast.types import Float32, Int64, String
 
 # Note that file source paths are not validated, so there doesn't actually need to be any data
@@ -99,6 +102,17 @@
 )
 
 
+@on_demand_feature_view(
+    sources=[customer_profile],
+    schema=[Field(name="on_demand_age", dtype=Int64)],
+    mode="pandas",
+)
+def customer_profile_pandas_odfv(inputs: pd.DataFrame) -> pd.DataFrame:
+    outputs = pd.DataFrame()
+    outputs["on_demand_age"] = inputs["age"] + 1
+    return outputs
+
+
 all_drivers_feature_service = FeatureService(
     name="driver_locations_service",
     features=[driver_locations],
diff --git a/sdk/python/tests/foo_provider.py b/sdk/python/tests/foo_provider.py
index d27e2645d4..7ba4adb114 100644
--- a/sdk/python/tests/foo_provider.py
+++ b/sdk/python/tests/foo_provider.py
@@ -71,16 +71,16 @@ def get_historical_features(
         project: str,
         full_feature_names: bool = False,
     ) -> RetrievalJob:
-        pass
+        return RetrievalJob()
 
     def online_read(
         self,
         config: RepoConfig,
         table: FeatureView,
         entity_keys: List[EntityKeyProto],
-        requested_features: List[str] = None,
+        requested_features: Optional[List[str]] = None,
     ) -> List[Tuple[Optional[datetime], Optional[Dict[str, ValueProto]]]]:
-        pass
+        return []
 
     def retrieve_saved_dataset(self, config: RepoConfig, dataset: SavedDataset):
         pass
@@ -102,4 +102,14 @@ def retrieve_feature_service_logs(
         config: RepoConfig,
         registry: BaseRegistry,
     ) -> RetrievalJob:
-        pass
+        return RetrievalJob()
+
+    def retrieve_online_documents(
+        self,
+        config: RepoConfig,
+        table: FeatureView,
+        requested_feature: str,
+        query: List[float],
+        top_k: int,
+    ) -> List[Tuple[Optional[datetime], Optional[ValueProto], Optional[ValueProto]]]:
+        return []
diff --git a/sdk/python/tests/integration/e2e/test_validation.py b/sdk/python/tests/integration/e2e/test_validation.py
index f49ed80a26..fdf182be57 100644
--- a/sdk/python/tests/integration/e2e/test_validation.py
+++ b/sdk/python/tests/integration/e2e/test_validation.py
@@ -167,7 +167,7 @@ def test_logged_features_validation(environment, universal_data_sources):
                         {
                             "customer_id": 2000 + i,
                             "driver_id": 6000 + i,
-                            "event_timestamp": datetime.datetime.now(),
+                            "event_timestamp": make_tzaware(datetime.datetime.now()),
                         }
                     ]
                 ),
diff --git a/sdk/python/tests/integration/feature_repos/repo_configuration.py b/sdk/python/tests/integration/feature_repos/repo_configuration.py
index fda5b3c11d..6eb5204161 100644
--- a/sdk/python/tests/integration/feature_repos/repo_configuration.py
+++ b/sdk/python/tests/integration/feature_repos/repo_configuration.py
@@ -31,6 +31,7 @@
     BigQueryDataSourceCreator,
 )
 from tests.integration.feature_repos.universal.data_sources.file import (
+    DuckDBDataSourceCreator,
     FileDataSourceCreator,
 )
 from tests.integration.feature_repos.universal.data_sources.redshift import (
@@ -83,8 +84,8 @@
     "password": os.getenv("SNOWFLAKE_CI_PASSWORD", ""),
     "role": os.getenv("SNOWFLAKE_CI_ROLE", ""),
     "warehouse": os.getenv("SNOWFLAKE_CI_WAREHOUSE", ""),
-    "database": "FEAST",
-    "schema": "ONLINE",
+    "database": os.getenv("SNOWFLAKE_CI_DATABASE", "FEAST"),
+    "schema": os.getenv("SNOWFLAKE_CI_SCHEMA_ONLINE", "ONLINE"),
 }
 
 BIGTABLE_CONFIG = {
@@ -99,7 +100,7 @@
     "host": os.getenv("ROCKSET_APISERVER", "api.rs2.usw2.rockset.com"),
 }
 
-OFFLINE_STORE_TO_PROVIDER_CONFIG: Dict[str, DataSourceCreator] = {
+OFFLINE_STORE_TO_PROVIDER_CONFIG: Dict[str, Tuple[str, Type[DataSourceCreator]]] = {
     "file": ("local", FileDataSourceCreator),
     "bigquery": ("gcp", BigQueryDataSourceCreator),
     "redshift": ("aws", RedshiftDataSourceCreator),
@@ -108,10 +109,11 @@
 
 AVAILABLE_OFFLINE_STORES: List[Tuple[str, Type[DataSourceCreator]]] = [
     ("local", FileDataSourceCreator),
+    ("local", DuckDBDataSourceCreator),
 ]
 
 AVAILABLE_ONLINE_STORES: Dict[
-    str, Tuple[Union[str, Dict[str, str]], Optional[Type[OnlineStoreCreator]]]
+    str, Tuple[Union[str, Dict[Any, Any]], Optional[Type[OnlineStoreCreator]]]
 ] = {
     "sqlite": ({"type": "sqlite"}, None),
 }
@@ -169,7 +171,7 @@
         AVAILABLE_ONLINE_STORES = {
             c.online_store["type"]
             if isinstance(c.online_store, dict)
-            else c.online_store: (c.online_store, c.online_store_creator)
+            else c.online_store: (c.online_store, c.online_store_creator)  # type: ignore
             for c in FULL_REPO_CONFIGS
         }
 
@@ -328,7 +330,7 @@ class UniversalFeatureViews:
     customer: FeatureView
     global_fv: FeatureView
     driver: FeatureView
-    driver_odfv: OnDemandFeatureView
+    driver_odfv: Optional[OnDemandFeatureView]
     order: FeatureView
     location: FeatureView
     field_mapping: FeatureView
@@ -410,9 +412,7 @@ def construct_test_environment(
         online_creator = test_repo_config.online_store_creator(
             project, fixture_request=fixture_request
         )
-        online_store = (
-            test_repo_config.online_store
-        ) = online_creator.create_online_store()
+        online_store = online_creator.create_online_store()
     else:
         online_creator = None
         online_store = test_repo_config.online_store
@@ -422,7 +422,7 @@ def construct_test_environment(
             AwsLambdaFeatureServerConfig,
         )
 
-        feature_server = AwsLambdaFeatureServerConfig(
+        feature_server: Any = AwsLambdaFeatureServerConfig(
             enabled=True,
             execution_role_name=os.getenv(
                 "AWS_LAMBDA_ROLE",
@@ -442,9 +442,9 @@ def construct_test_environment(
         aws_registry_path = os.getenv(
             "AWS_REGISTRY_PATH", "s3://feast-integration-tests/registries"
         )
-        registry: Union[
-            str, RegistryConfig
-        ] = f"{aws_registry_path}/{project}/registry.db"
+        registry: Union[str, RegistryConfig] = (
+            f"{aws_registry_path}/{project}/registry.db"
+        )
     else:
         registry = RegistryConfig(
             path=str(Path(repo_dir_name) / "registry.db"),
@@ -465,7 +465,7 @@ def construct_test_environment(
 
     # Create feature_store.yaml out of the config
     with open(Path(repo_dir_name) / "feature_store.yaml", "w") as f:
-        yaml.safe_dump(json.loads(config.json()), f)
+        yaml.safe_dump(json.loads(config.model_dump_json(by_alias=True)), f)
 
     fs = FeatureStore(repo_dir_name)
     # We need to initialize the registry, because if nothing is applied in the test before tearing down
diff --git a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py
index b36af0db47..5e5062291d 100644
--- a/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py
+++ b/sdk/python/tests/integration/feature_repos/universal/data_source_creator.py
@@ -20,7 +20,7 @@ def create_data_source(
         destination_name: str,
         event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
         timestamp_field: Optional[str] = None,
     ) -> DataSource:
         """
@@ -42,19 +42,20 @@ def create_data_source(
             A Data source object, pointing to a table or file that is uploaded/persisted for the purpose of the
             test.
         """
-        ...
+        raise NotImplementedError
 
     @abstractmethod
     def create_offline_store_config(self) -> FeastConfigBaseModel:
-        ...
+        raise NotImplementedError
 
     @abstractmethod
     def create_saved_dataset_destination(self) -> SavedDatasetStorage:
-        ...
+        raise NotImplementedError
 
+    @abstractmethod
     def create_logged_features_destination(self) -> LoggingDestination:
-        pass
+        raise NotImplementedError
 
     @abstractmethod
     def teardown(self):
-        ...
+        raise NotImplementedError
diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py
index 384037eef1..4fcd9533e8 100644
--- a/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py
+++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/bigquery.py
@@ -42,7 +42,6 @@ def create_dataset(self):
             self.client.update_dataset(self.dataset, ["default_table_expiration_ms"])
 
     def teardown(self):
-
         for table in self.tables:
             self.client.delete_table(table, not_found_ok=True)
 
@@ -64,12 +63,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        timestamp_field="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
-        **kwargs,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         destination_name = self.get_prefixed_table_name(destination_name)
 
         self.create_dataset()
diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py
index 124dd4c88d..6d4baa19ed 100644
--- a/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py
+++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/file.py
@@ -15,6 +15,7 @@
 from feast.data_format import ParquetFormat
 from feast.data_source import DataSource
 from feast.feature_logging import LoggingDestination
+from feast.infra.offline_stores.duckdb import DuckDBOfflineStoreConfig
 from feast.infra.offline_stores.file import FileOfflineStoreConfig
 from feast.infra.offline_stores.file_source import (
     FileLoggingDestination,
@@ -39,11 +40,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        timestamp_field="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         destination_name = self.get_prefixed_table_name(destination_name)
 
         f = tempfile.NamedTemporaryFile(
@@ -94,11 +94,10 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        timestamp_field="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         destination_name = self.get_prefixed_table_name(destination_name)
 
         dataset_path = tempfile.TemporaryDirectory(
@@ -167,11 +166,10 @@ def _upload_parquet_file(self, df, file_name, minio_endpoint):
     def create_data_source(
         self,
         df: pd.DataFrame,
-        destination_name: Optional[str] = None,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        destination_name: str,
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
         filename = f"{destination_name}.parquet"
         port = self.minio.get_exposed_port("9000")
@@ -217,3 +215,10 @@ def create_offline_store_config(self) -> FeastConfigBaseModel:
     def teardown(self):
         self.minio.stop()
         self.f.close()
+
+
+# TODO split up DataSourceCreator and OfflineStoreCreator
+class DuckDBDataSourceCreator(FileDataSourceCreator):
+    def create_offline_store_config(self):
+        self.duckdb_offline_store_config = DuckDBOfflineStoreConfig()
+        return self.duckdb_offline_store_config
diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py
index dfe8e3d33b..60fb8950a9 100644
--- a/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py
+++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/redshift.py
@@ -20,7 +20,6 @@
 
 
 class RedshiftDataSourceCreator(DataSourceCreator):
-
     tables: List[str] = []
 
     def __init__(self, project_name: str, *args, **kwargs):
@@ -42,18 +41,18 @@ def __init__(self, project_name: str, *args, **kwargs):
             iam_role=os.getenv(
                 "AWS_IAM_ROLE", "arn:aws:iam::402087665549:role/redshift_s3_access_role"
             ),
+            workgroup="",
         )
 
     def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         destination_name = self.get_prefixed_table_name(destination_name)
 
         aws_utils.upload_df_to_redshift(
diff --git a/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py b/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py
index c7e5961a88..237be2ac01 100644
--- a/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py
+++ b/sdk/python/tests/integration/feature_repos/universal/data_sources/snowflake.py
@@ -24,7 +24,6 @@
 
 
 class SnowflakeDataSourceCreator(DataSourceCreator):
-
     tables: List[str] = []
 
     def __init__(self, project_name: str, *args, **kwargs):
@@ -36,8 +35,8 @@ def __init__(self, project_name: str, *args, **kwargs):
             password=os.environ["SNOWFLAKE_CI_PASSWORD"],
             role=os.environ["SNOWFLAKE_CI_ROLE"],
             warehouse=os.environ["SNOWFLAKE_CI_WAREHOUSE"],
-            database="FEAST",
-            schema="OFFLINE",
+            database=os.environ.get("SNOWFLAKE_CI_DATABASE", "FEAST"),
+            schema=os.environ.get("SNOWFLAKE_CI_SCHEMA_OFFLINE", "OFFLINE"),
             storage_integration_name=os.getenv("BLOB_EXPORT_STORAGE_NAME", "FEAST_S3"),
             blob_export_location=os.getenv(
                 "BLOB_EXPORT_URI", "s3://feast-snowflake-offload/export"
@@ -48,12 +47,11 @@ def create_data_source(
         self,
         df: pd.DataFrame,
         destination_name: str,
-        suffix: Optional[str] = None,
-        timestamp_field="ts",
+        event_timestamp_column="ts",
         created_timestamp_column="created_ts",
-        field_mapping: Dict[str, str] = None,
+        field_mapping: Optional[Dict[str, str]] = None,
+        timestamp_field: Optional[str] = "ts",
     ) -> DataSource:
-
         destination_name = self.get_prefixed_table_name(destination_name)
 
         with GetSnowflakeConnection(self.offline_store_config) as conn:
diff --git a/sdk/python/tests/integration/feature_repos/universal/feature_views.py b/sdk/python/tests/integration/feature_repos/universal/feature_views.py
index 5938a0c936..48f6e27b8a 100644
--- a/sdk/python/tests/integration/feature_repos/universal/feature_views.py
+++ b/sdk/python/tests/integration/feature_repos/universal/feature_views.py
@@ -14,6 +14,8 @@
     StreamFeatureView,
 )
 from feast.data_source import DataSource, RequestSource
+from feast.feature_view_projection import FeatureViewProjection
+from feast.on_demand_feature_view import PandasTransformation
 from feast.types import Array, FeastType, Float32, Float64, Int32, Int64
 from tests.integration.feature_repos.universal.entities import (
     customer,
@@ -55,7 +57,7 @@ def conv_rate_plus_100(features_df: pd.DataFrame) -> pd.DataFrame:
 
 
 def conv_rate_plus_100_feature_view(
-    sources: Dict[str, Union[RequestSource, FeatureView]],
+    sources: List[Union[FeatureView, RequestSource, FeatureViewProjection]],
     infer_features: bool = False,
     features: Optional[List[Field]] = None,
 ) -> OnDemandFeatureView:
@@ -69,8 +71,9 @@ def conv_rate_plus_100_feature_view(
         name=conv_rate_plus_100.__name__,
         schema=[] if infer_features else _features,
         sources=sources,
-        udf=conv_rate_plus_100,
-        udf_string="raw udf source",
+        feature_transformation=PandasTransformation(
+            udf=conv_rate_plus_100, udf_string="raw udf source"
+        ),
     )
 
 
@@ -107,8 +110,9 @@ def similarity_feature_view(
         name=similarity.__name__,
         sources=sources,
         schema=[] if infer_features else _fields,
-        udf=similarity,
-        udf_string="similarity raw udf",
+        feature_transformation=PandasTransformation(
+            udf=similarity, udf_string="similarity raw udf"
+        ),
     )
 
 
@@ -123,7 +127,7 @@ def create_similarity_request_source():
     return RequestSource(
         name="similarity_input",
         schema=[
-            Field(name="vector_doube", dtype=Array(Float64)),
+            Field(name="vector_double", dtype=Array(Float64)),
             Field(name="vector_float", dtype=Array(Float32)),
         ],
     )
diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/hazelcast.py b/sdk/python/tests/integration/feature_repos/universal/online_store/hazelcast.py
index 65d74135ae..d50f2b75a3 100644
--- a/sdk/python/tests/integration/feature_repos/universal/online_store/hazelcast.py
+++ b/sdk/python/tests/integration/feature_repos/universal/online_store/hazelcast.py
@@ -12,7 +12,6 @@
 
 
 class HazelcastOnlineStoreCreator(OnlineStoreCreator):
-
     cluster_name: str = ""
     container: DockerContainer = None
 
diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/postgres.py b/sdk/python/tests/integration/feature_repos/universal/online_store/postgres.py
new file mode 100644
index 0000000000..58e7af9c46
--- /dev/null
+++ b/sdk/python/tests/integration/feature_repos/universal/online_store/postgres.py
@@ -0,0 +1,68 @@
+from typing import Dict
+
+from testcontainers.core.container import DockerContainer
+from testcontainers.core.waiting_utils import wait_for_logs
+from testcontainers.postgres import PostgresContainer
+
+from tests.integration.feature_repos.universal.online_store_creator import (
+    OnlineStoreCreator,
+)
+
+
+class PostgresOnlineStoreCreator(OnlineStoreCreator):
+    def __init__(self, project_name: str, **kwargs):
+        super().__init__(project_name)
+        self.container = PostgresContainer(
+            "postgres:16",
+            username="root",
+            password="test",
+            dbname="test",
+        ).with_exposed_ports(5432)
+
+    def create_online_store(self) -> Dict[str, str]:
+        self.container.start()
+        return {
+            "host": "localhost",
+            "type": "postgres",
+            "user": "root",
+            "password": "test",
+            "database": "test",
+            "port": self.container.get_exposed_port(5432),
+        }
+
+    def teardown(self):
+        self.container.stop()
+
+
+class PGVectorOnlineStoreCreator(OnlineStoreCreator):
+    def __init__(self, project_name: str, **kwargs):
+        super().__init__(project_name)
+        self.container = (
+            DockerContainer("pgvector/pgvector:pg16")
+            .with_env("POSTGRES_USER", "root")
+            .with_env("POSTGRES_PASSWORD", "test")
+            .with_env("POSTGRES_DB", "test")
+            .with_exposed_ports(5432)
+        )
+
+    def create_online_store(self) -> Dict[str, str]:
+        self.container.start()
+        log_string_to_wait_for = "database system is ready to accept connections"
+        wait_for_logs(
+            container=self.container, predicate=log_string_to_wait_for, timeout=10
+        )
+        command = "psql -h localhost -p 5432 -U root -d test -c 'CREATE EXTENSION IF NOT EXISTS vector;'"
+        self.container.exec(command)
+        return {
+            "host": "localhost",
+            "type": "postgres",
+            "user": "root",
+            "password": "test",
+            "database": "test",
+            "pgvector_enabled": True,
+            "vector_len": 2,
+            "port": self.container.get_exposed_port(5432),
+        }
+
+    def teardown(self):
+        self.container.stop()
diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py b/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py
index 11d62d9d30..8e18f7fb17 100644
--- a/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py
+++ b/sdk/python/tests/integration/feature_repos/universal/online_store/redis.py
@@ -20,7 +20,11 @@ def create_online_store(self) -> Dict[str, str]:
             container=self.container, predicate=log_string_to_wait_for, timeout=10
         )
         exposed_port = self.container.get_exposed_port("6379")
-        return {"type": "redis", "connection_string": f"localhost:{exposed_port},db=0"}
+        container_host = self.container.get_container_host_ip()
+        return {
+            "type": "redis",
+            "connection_string": f"{container_host}:{exposed_port},db=0",
+        }
 
     def teardown(self):
         self.container.stop()
diff --git a/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py b/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py
index c3872ea697..4932001e76 100644
--- a/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py
+++ b/sdk/python/tests/integration/feature_repos/universal/online_store_creator.py
@@ -1,4 +1,4 @@
-from abc import ABC
+from abc import ABC, abstractmethod
 
 from feast.repo_config import FeastConfigBaseModel
 
@@ -8,7 +8,8 @@ def __init__(self, project_name: str, **kwargs):
         self.project_name = project_name
 
     def create_online_store(self) -> FeastConfigBaseModel:
-        ...
+        raise NotImplementedError
 
+    @abstractmethod
     def teardown(self):
-        ...
+        raise NotImplementedError
diff --git a/sdk/python/tests/integration/materialization/contrib/spark/test_spark.py b/sdk/python/tests/integration/materialization/contrib/spark/test_spark.py
index c7028a09ef..e85c1d7311 100644
--- a/sdk/python/tests/integration/materialization/contrib/spark/test_spark.py
+++ b/sdk/python/tests/integration/materialization/contrib/spark/test_spark.py
@@ -57,7 +57,6 @@ def test_spark_materialization_consistency():
     )
 
     try:
-
         fs.apply([driver, driver_stats_fv])
 
         print(df)
diff --git a/sdk/python/tests/integration/materialization/kubernetes/README.md b/sdk/python/tests/integration/materialization/kubernetes/README.md
new file mode 100644
index 0000000000..715258c1cd
--- /dev/null
+++ b/sdk/python/tests/integration/materialization/kubernetes/README.md
@@ -0,0 +1,22 @@
+# Running kubernetes engine integration tests
+
+To run the kubernetes engine integration tests, you'll need to provision a cluster using [eksctl.](https://docs.aws.amazon.com/eks/latest/userguide/eksctl.html).
+
+## Creating an EKS cluster
+
+In this directory is a configuration file for a single-node EKS cluster
+
+To create the EKS cluster needed for testing, issue the following command:
+
+``` shell
+> eksctl create cluster -f ./eks-config.yaml
+```
+
+When the tests are complete, delete the created cluster with:
+
+``` shell
+> eksctl delete cluster feast-cluster
+```
+
+
+
diff --git a/sdk/python/tests/integration/materialization/kubernetes/eks-config.yaml b/sdk/python/tests/integration/materialization/kubernetes/eks-config.yaml
new file mode 100644
index 0000000000..b1ecb7ef69
--- /dev/null
+++ b/sdk/python/tests/integration/materialization/kubernetes/eks-config.yaml
@@ -0,0 +1,13 @@
+apiVersion: eksctl.io/v1alpha5
+kind: ClusterConfig
+
+metadata:
+  name: feast-cluster
+  version: "1.22"
+  region: us-west-2
+
+managedNodeGroups:
+- name: ng-1
+  instanceType: c6a.large
+  desiredCapacity: 1
+  privateNetworking: true
diff --git a/sdk/python/tests/integration/materialization/kubernetes/test_k8s.py b/sdk/python/tests/integration/materialization/kubernetes/test_k8s.py
new file mode 100644
index 0000000000..a944ae3e94
--- /dev/null
+++ b/sdk/python/tests/integration/materialization/kubernetes/test_k8s.py
@@ -0,0 +1,65 @@
+from datetime import timedelta
+
+import pytest
+
+from feast import Entity, Feature, FeatureView, ValueType
+from tests.data.data_creator import create_basic_driver_dataset
+from tests.integration.feature_repos.integration_test_repo_config import (
+    IntegrationTestRepoConfig,
+    RegistryLocation,
+)
+from tests.integration.feature_repos.repo_configuration import (
+    construct_test_environment,
+)
+from tests.integration.feature_repos.universal.data_sources.redshift import (
+    RedshiftDataSourceCreator,
+)
+from tests.utils.e2e_test_validation import validate_offline_online_store_consistency
+
+
+@pytest.mark.integration
+@pytest.mark.skip(reason="Run this test manually after creating an EKS cluster.")
+def test_kubernetes_materialization():
+    config = IntegrationTestRepoConfig(
+        provider="aws",
+        online_store={"type": "dynamodb", "region": "us-west-2"},
+        offline_store_creator=RedshiftDataSourceCreator,
+        batch_engine={"type": "k8s"},
+        registry_location=RegistryLocation.S3,
+    )
+    env = construct_test_environment(config, None)
+
+    df = create_basic_driver_dataset()
+    ds = env.data_source_creator.create_data_source(
+        df,
+        env.feature_store.project,
+        field_mapping={"ts_1": "ts"},
+    )
+
+    fs = env.feature_store
+    driver = Entity(
+        name="driver_id",
+        join_key="driver_id",
+        value_type=ValueType.INT64,
+    )
+
+    driver_stats_fv = FeatureView(
+        name="driver_hourly_stats",
+        entities=["driver_id"],
+        ttl=timedelta(weeks=52),
+        features=[Feature(name="value", dtype=ValueType.FLOAT)],
+        batch_source=ds,
+    )
+
+    try:
+        fs.apply([driver, driver_stats_fv])
+
+        # materialization is run in two steps and
+        # we use timestamp from generated dataframe as a split point
+        split_dt = df["ts_1"][4].to_pydatetime() - timedelta(seconds=1)
+
+        print(f"Split datetime: {split_dt}")
+
+        validate_offline_online_store_consistency(fs, driver_stats_fv, split_dt)
+    finally:
+        fs.teardown()
diff --git a/sdk/python/tests/integration/materialization/test_snowflake.py b/sdk/python/tests/integration/materialization/test_snowflake.py
index 0cf1471dfe..60fa9b30aa 100644
--- a/sdk/python/tests/integration/materialization/test_snowflake.py
+++ b/sdk/python/tests/integration/materialization/test_snowflake.py
@@ -1,10 +1,13 @@
 import os
-from datetime import timedelta
+from datetime import datetime, timedelta
 
 import pytest
+from pytz import utc
 
+from feast import Field
 from feast.entity import Entity
 from feast.feature_view import FeatureView
+from feast.types import Array, Bool, Bytes, Float64, Int32, Int64, String, UnixTimestamp
 from tests.data.data_creator import create_basic_driver_dataset
 from tests.integration.feature_repos.integration_test_repo_config import (
     IntegrationTestRepoConfig,
@@ -24,8 +27,8 @@
     "password": os.getenv("SNOWFLAKE_CI_PASSWORD", ""),
     "role": os.getenv("SNOWFLAKE_CI_ROLE", ""),
     "warehouse": os.getenv("SNOWFLAKE_CI_WAREHOUSE", ""),
-    "database": "FEAST",
-    "schema": "MATERIALIZATION",
+    "database": os.getenv("SNOWFLAKE_CI_DATABASE", "FEAST"),
+    "schema": os.getenv("SNOWFLAKE_CI_SCHEMA_MATERIALIZATION", "MATERIALIZATION"),
 }
 
 SNOWFLAKE_ONLINE_CONFIG = {
@@ -35,15 +38,16 @@
     "password": os.getenv("SNOWFLAKE_CI_PASSWORD", ""),
     "role": os.getenv("SNOWFLAKE_CI_ROLE", ""),
     "warehouse": os.getenv("SNOWFLAKE_CI_WAREHOUSE", ""),
-    "database": "FEAST",
-    "schema": "ONLINE",
+    "database": os.getenv("SNOWFLAKE_CI_DATABASE", "FEAST"),
+    "schema": os.getenv("SNOWFLAKE_CI_SCHEMA_ONLINE", "ONLINE"),
 }
 
 
+@pytest.mark.parametrize("online_store", [SNOWFLAKE_ONLINE_CONFIG, "sqlite"])
 @pytest.mark.integration
-def test_snowflake_materialization_consistency_internal():
+def test_snowflake_materialization_consistency(online_store):
     snowflake_config = IntegrationTestRepoConfig(
-        online_store=SNOWFLAKE_ONLINE_CONFIG,
+        online_store=online_store,
         offline_store_creator=SnowflakeDataSourceCreator,
         batch_engine=SNOWFLAKE_ENGINE_CONFIG,
     )
@@ -84,15 +88,32 @@ def test_snowflake_materialization_consistency_internal():
         snowflake_environment.data_source_creator.teardown()
 
 
+@pytest.mark.parametrize(
+    "feature_dtype, feast_dtype",
+    [
+        ("string", Array(String)),
+        ("bytes", Array(Bytes)),
+        ("int32", Array(Int32)),
+        ("int64", Array(Int64)),
+        ("float", Array(Float64)),
+        ("bool", Array(Bool)),
+        ("datetime", Array(UnixTimestamp)),
+    ],
+)
+@pytest.mark.parametrize("feature_is_empty_list", [False])
+@pytest.mark.parametrize("online_store", [SNOWFLAKE_ONLINE_CONFIG, "sqlite"])
 @pytest.mark.integration
-def test_snowflake_materialization_consistency_external():
+def test_snowflake_materialization_consistency_internal_with_lists(
+    feature_dtype, feast_dtype, feature_is_empty_list, online_store
+):
     snowflake_config = IntegrationTestRepoConfig(
+        online_store=online_store,
         offline_store_creator=SnowflakeDataSourceCreator,
         batch_engine=SNOWFLAKE_ENGINE_CONFIG,
     )
     snowflake_environment = construct_test_environment(snowflake_config, None)
 
-    df = create_basic_driver_dataset()
+    df = create_basic_driver_dataset(Int32, feature_dtype, True, feature_is_empty_list)
     ds = snowflake_environment.data_source_creator.create_data_source(
         df,
         snowflake_environment.feature_store.project,
@@ -105,23 +126,124 @@ def test_snowflake_materialization_consistency_external():
         join_keys=["driver_id"],
     )
 
+    schema = [
+        Field(name="driver_id", dtype=Int32),
+        Field(name="value", dtype=feast_dtype),
+    ]
     driver_stats_fv = FeatureView(
         name="driver_hourly_stats",
         entities=[driver],
         ttl=timedelta(weeks=52),
+        schema=schema,
         source=ds,
     )
 
     try:
         fs.apply([driver, driver_stats_fv])
 
+        split_dt = df["ts_1"][4].to_pydatetime() - timedelta(seconds=1)
+
+        print(f"Split datetime: {split_dt}")
+        now = datetime.utcnow()
+
+        full_feature_names = True
+        start_date = (now - timedelta(hours=5)).replace(tzinfo=utc)
+        end_date = split_dt
+        fs.materialize(
+            feature_views=[driver_stats_fv.name],
+            start_date=start_date,
+            end_date=end_date,
+        )
+
+        expected_values = {
+            "int32": [3] * 2,
+            "int64": [3] * 2,
+            "float": [3.0] * 2,
+            "string": ["3"] * 2,
+            "bytes": [b"3"] * 2,
+            "bool": [False] * 2,
+            "datetime": [datetime(1981, 1, 1, tzinfo=utc)] * 2,
+        }
+        expected_value = [] if feature_is_empty_list else expected_values[feature_dtype]
+
+        response_dict = fs.get_online_features(
+            [f"{driver_stats_fv.name}:value"],
+            [{"driver_id": 1}],
+            full_feature_names=full_feature_names,
+        ).to_dict()
+
+        actual_value = response_dict[f"{driver_stats_fv.name}__value"][0]
+        assert actual_value is not None, f"Response: {response_dict}"
+        if feature_dtype == "float":
+            for actual_num, expected_num in zip(actual_value, expected_value):
+                assert (
+                    abs(actual_num - expected_num) < 1e-6
+                ), f"Response: {response_dict}, Expected: {expected_value}"
+        else:
+            assert actual_value == expected_value
+
+    finally:
+        fs.teardown()
+        snowflake_environment.data_source_creator.teardown()
+
+
+@pytest.mark.integration
+def test_snowflake_materialization_entityless_fv():
+    snowflake_config = IntegrationTestRepoConfig(
+        online_store=SNOWFLAKE_ONLINE_CONFIG,
+        offline_store_creator=SnowflakeDataSourceCreator,
+        batch_engine=SNOWFLAKE_ENGINE_CONFIG,
+    )
+    snowflake_environment = construct_test_environment(snowflake_config, None)
+
+    df = create_basic_driver_dataset()
+    entityless_df = df.drop("driver_id", axis=1)
+    ds = snowflake_environment.data_source_creator.create_data_source(
+        entityless_df,
+        snowflake_environment.feature_store.project,
+        field_mapping={"ts_1": "ts"},
+    )
+
+    fs = snowflake_environment.feature_store
+
+    # We include the driver entity so we can provide an entity ID when fetching features
+    driver = Entity(
+        name="driver_id",
+        join_keys=["driver_id"],
+    )
+
+    overall_stats_fv = FeatureView(
+        name="overall_hourly_stats",
+        entities=[],
+        ttl=timedelta(weeks=52),
+        source=ds,
+    )
+
+    try:
+        fs.apply([overall_stats_fv, driver])
+
         # materialization is run in two steps and
         # we use timestamp from generated dataframe as a split point
         split_dt = df["ts_1"][4].to_pydatetime() - timedelta(seconds=1)
 
         print(f"Split datetime: {split_dt}")
 
-        validate_offline_online_store_consistency(fs, driver_stats_fv, split_dt)
+        now = datetime.utcnow()
+
+        start_date = (now - timedelta(hours=5)).replace(tzinfo=utc)
+        end_date = split_dt
+        fs.materialize(
+            feature_views=[overall_stats_fv.name],
+            start_date=start_date,
+            end_date=end_date,
+        )
+
+        response_dict = fs.get_online_features(
+            [f"{overall_stats_fv.name}:value"],
+            [{"driver_id": 1}],  # Included because we need an entity
+        ).to_dict()
+        assert response_dict["value"] == [0.3]
+
     finally:
         fs.teardown()
         snowflake_environment.data_source_creator.teardown()
diff --git a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
index 0abb290563..7e106b3e2a 100644
--- a/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
+++ b/sdk/python/tests/integration/offline_store/test_universal_historical_retrieval.py
@@ -340,6 +340,11 @@ def test_historical_features_with_entities_from_query(
 
     table_from_sql_entities = job_from_sql.to_arrow().to_pandas()
     for col in table_from_sql_entities.columns:
+        # check if col dtype is timezone naive
+        if pd.api.types.is_datetime64_dtype(table_from_sql_entities[col]):
+            table_from_sql_entities[col] = table_from_sql_entities[col].dt.tz_localize(
+                "UTC"
+            )
         expected_df_query[col] = expected_df_query[col].astype(
             table_from_sql_entities[col].dtype
         )
@@ -513,7 +518,7 @@ def test_historical_features_with_no_ttl(
 
 @pytest.mark.integration
 @pytest.mark.universal_offline_stores
-def test_historical_features_from_bigquery_sources_containing_backfills(environment):
+def test_historical_features_containing_backfills(environment):
     store = environment.feature_store
 
     now = datetime.now().replace(microsecond=0, second=0, minute=0)
diff --git a/sdk/python/tests/integration/online_store/test_universal_online.py b/sdk/python/tests/integration/online_store/test_universal_online.py
index 8218971315..3ae7be9e1e 100644
--- a/sdk/python/tests/integration/online_store/test_universal_online.py
+++ b/sdk/python/tests/integration/online_store/test_universal_online.py
@@ -25,9 +25,10 @@
     Environment,
     construct_universal_feature_views,
 )
-from tests.integration.feature_repos.universal.entities import driver
+from tests.integration.feature_repos.universal.entities import driver, item
 from tests.integration.feature_repos.universal.feature_views import (
     create_driver_hourly_stats_feature_view,
+    create_item_embeddings_feature_view,
     driver_feature_view,
 )
 from tests.utils.data_source_test_creator import prep_file_source
@@ -785,3 +786,18 @@ def assert_feature_service_entity_mapping_correctness(
                 entity_rows=entity_rows,
                 full_feature_names=full_feature_names,
             )
+
+
+@pytest.mark.integration
+@pytest.mark.universal_online_stores(only=["pgvector"])
+def test_retrieve_online_documents(environment, fake_document_data):
+    fs = environment.feature_store
+    df, data_source = fake_document_data
+    item_embeddings_feature_view = create_item_embeddings_feature_view(data_source)
+    fs.apply([item_embeddings_feature_view, item()])
+    fs.write_to_online_store("item_embeddings", df)
+
+    documents = fs.retrieve_online_documents(
+        feature="item_embeddings:embedding_float", query=[1.0, 2.0], top_k=2
+    ).to_dict()
+    assert len(documents["embedding_float"]) == 2
diff --git a/sdk/python/tests/integration/registration/test_registry.py b/sdk/python/tests/integration/registration/test_registry.py
index 57e625e66b..232f035609 100644
--- a/sdk/python/tests/integration/registration/test_registry.py
+++ b/sdk/python/tests/integration/registration/test_registry.py
@@ -14,9 +14,11 @@
 import os
 import time
 from datetime import timedelta
+from unittest import mock
 
 import pytest
 from pytest_lazyfixture import lazy_fixture
+from testcontainers.core.container import DockerContainer
 
 from feast import FileSource
 from feast.data_format import ParquetFormat
@@ -60,10 +62,53 @@ def s3_registry() -> Registry:
     return Registry("project", registry_config, None)
 
 
+@pytest.fixture
+def minio_registry() -> Registry:
+    minio_user = "minio99"
+    minio_password = "minio123"
+    bucket_name = "test-bucket"
+
+    container: DockerContainer = (
+        DockerContainer("quay.io/minio/minio")
+        .with_exposed_ports(9000, 9001)
+        .with_env("MINIO_ROOT_USER", minio_user)
+        .with_env("MINIO_ROOT_PASSWORD", minio_password)
+        .with_command('server /data --console-address ":9001"')
+        .with_exposed_ports()
+    )
+
+    container.start()
+
+    exposed_port = container.get_exposed_port("9000")
+    container_host = container.get_container_host_ip()
+
+    container.exec(f"mkdir /data/{bucket_name}")
+
+    registry_config = RegistryConfig(
+        path=f"s3://{bucket_name}/registry.db", cache_ttl_seconds=600
+    )
+
+    mock_environ = {
+        "FEAST_S3_ENDPOINT_URL": f"http://{container_host}:{exposed_port}",
+        "AWS_ACCESS_KEY_ID": minio_user,
+        "AWS_SECRET_ACCESS_KEY": minio_password,
+        "AWS_SESSION_TOKEN": "",
+    }
+
+    with mock.patch.dict(os.environ, mock_environ):
+        yield Registry("project", registry_config, None)
+
+    container.stop()
+
+
 @pytest.mark.integration
 @pytest.mark.parametrize(
     "test_registry",
-    [lazy_fixture("gcs_registry"), lazy_fixture("s3_registry")],
+    [
+        lazy_fixture("gcs_registry"),
+        lazy_fixture("s3_registry"),
+        lazy_fixture("minio_registry"),
+    ],
 )
 def test_apply_entity_integration(test_registry):
     entity = Entity(
@@ -106,7 +151,11 @@ def test_apply_entity_integration(test_registry):
 @pytest.mark.integration
 @pytest.mark.parametrize(
     "test_registry",
-    [lazy_fixture("gcs_registry"), lazy_fixture("s3_registry")],
+    [
+        lazy_fixture("gcs_registry"),
+        lazy_fixture("s3_registry"),
+        lazy_fixture("minio_registry"),
+    ],
 )
 def test_apply_feature_view_integration(test_registry):
     # Create Feature Views
@@ -183,7 +232,11 @@ def test_apply_feature_view_integration(test_registry):
 @pytest.mark.integration
 @pytest.mark.parametrize(
     "test_registry",
-    [lazy_fixture("gcs_registry"), lazy_fixture("s3_registry")],
+    [
+        lazy_fixture("gcs_registry"),
+        lazy_fixture("s3_registry"),
+        lazy_fixture("minio_registry"),
+    ],
 )
 def test_apply_data_source_integration(test_registry: Registry):
     validate_registry_data_source_apply(test_registry)
diff --git a/sdk/python/tests/integration/registration/test_universal_types.py b/sdk/python/tests/integration/registration/test_universal_types.py
index 7c24589c6f..3ce5876bd6 100644
--- a/sdk/python/tests/integration/registration/test_universal_types.py
+++ b/sdk/python/tests/integration/registration/test_universal_types.py
@@ -144,7 +144,7 @@ def test_feature_get_online_features_types_match(
     fs.materialize(
         environment.start_date,
         environment.end_date
-        - timedelta(hours=1)  # throwing out last record to make sure
+        - timedelta(hours=1),  # throwing out last record to make sure
         # we can successfully infer type even from all empty values
     )
 
diff --git a/sdk/python/tests/unit/cli/test_cli.py b/sdk/python/tests/unit/cli/test_cli.py
index d15e1d1616..a286c847dd 100644
--- a/sdk/python/tests/unit/cli/test_cli.py
+++ b/sdk/python/tests/unit/cli/test_cli.py
@@ -105,7 +105,6 @@ def test_3rd_party_registry_store_with_fs_yaml_override_by_env_var() -> None:
 @contextmanager
 def setup_third_party_provider_repo(provider_name: str):
     with tempfile.TemporaryDirectory() as repo_dir_name:
-
         # Construct an example repo in a temporary dir
         repo_path = Path(repo_dir_name)
 
@@ -141,7 +140,6 @@ def setup_third_party_registry_store_repo(
     registry_store: str, fs_yaml_file_name: str = "feature_store.yaml"
 ):
     with tempfile.TemporaryDirectory() as repo_dir_name:
-
         # Construct an example repo in a temporary dir
         repo_path = Path(repo_dir_name)
 
diff --git a/sdk/python/tests/unit/cli/test_cli_chdir.py b/sdk/python/tests/unit/cli/test_cli_chdir.py
index cf1d031227..12ca8f6b08 100644
--- a/sdk/python/tests/unit/cli/test_cli_chdir.py
+++ b/sdk/python/tests/unit/cli/test_cli_chdir.py
@@ -15,7 +15,7 @@ def test_cli_chdir() -> None:
         # Make sure the path is absolute by resolving any symlinks
         temp_path = Path(temp_dir).resolve()
         result = runner.run(["init", "my_project"], cwd=temp_path)
-        repo_path = temp_path / "my_project" / "feature_repo"
+        repo_path = str(temp_path / "my_project" / "feature_repo")
         assert result.returncode == 0
 
         result = runner.run(["--chdir", repo_path, "apply"], cwd=temp_path)
@@ -44,7 +44,12 @@ def test_cli_chdir() -> None:
         assert result.returncode == 0
 
         result = runner.run(
-            ["--chdir", repo_path, "materialize-incremental", end_date.isoformat()],
+            [
+                "--chdir",
+                repo_path,
+                "materialize-incremental",
+                end_date.isoformat(),
+            ],
             cwd=temp_path,
         )
         assert result.returncode == 0
diff --git a/sdk/python/tests/unit/diff/test_registry_diff.py b/sdk/python/tests/unit/diff/test_registry_diff.py
index ce40295f8b..c209f1e0e0 100644
--- a/sdk/python/tests/unit/diff/test_registry_diff.py
+++ b/sdk/python/tests/unit/diff/test_registry_diff.py
@@ -137,13 +137,14 @@ def post_changed(inputs: pd.DataFrame) -> pd.DataFrame:
         # if no code is changed
         assert len(feast_object_diffs.feast_object_property_diffs) == 3
         assert feast_object_diffs.feast_object_property_diffs[0].property_name == "name"
+        # Note we should only now be looking at changes for the feature_transformation field
         assert (
             feast_object_diffs.feast_object_property_diffs[1].property_name
-            == "user_defined_function.name"
+            == "feature_transformation.name"
         )
         assert (
             feast_object_diffs.feast_object_property_diffs[2].property_name
-            == "user_defined_function.body_text"
+            == "feature_transformation.body_text"
         )
 
 
diff --git a/sdk/python/tests/unit/infra/offline_stores/test_ibis.py b/sdk/python/tests/unit/infra/offline_stores/test_ibis.py
new file mode 100644
index 0000000000..fea1399552
--- /dev/null
+++ b/sdk/python/tests/unit/infra/offline_stores/test_ibis.py
@@ -0,0 +1,172 @@
+from datetime import datetime, timedelta
+from typing import Dict, List, Tuple
+
+import ibis
+import pyarrow as pa
+import pyarrow.compute as pc
+
+from feast.infra.offline_stores.ibis import point_in_time_join
+
+
+def pa_datetime(year, month, day):
+    return pa.scalar(datetime(year, month, day), type=pa.timestamp("s", tz="UTC"))
+
+
+def customer_table():
+    return pa.Table.from_arrays(
+        arrays=[
+            pa.array([1, 1, 2, 3]),
+            pa.array(
+                [
+                    pa_datetime(2024, 1, 1),
+                    pa_datetime(2024, 1, 2),
+                    pa_datetime(2024, 1, 1),
+                    pa_datetime(2024, 1, 3),
+                ]
+            ),
+        ],
+        names=["customer_id", "event_timestamp"],
+    )
+
+
+def features_table_1():
+    return pa.Table.from_arrays(
+        arrays=[
+            pa.array([1, 1, 1, 2, 3, 3]),
+            pa.array(
+                [
+                    pa_datetime(2023, 12, 31),
+                    pa_datetime(2024, 1, 2),
+                    pa_datetime(2024, 1, 3),
+                    pa_datetime(2023, 1, 3),
+                    pa_datetime(2024, 1, 1),
+                    pa_datetime(2024, 1, 1),
+                ]
+            ),
+            pa.array(
+                [
+                    pa_datetime(2023, 12, 31),
+                    pa_datetime(2024, 1, 2),
+                    pa_datetime(2024, 1, 3),
+                    pa_datetime(2023, 1, 3),
+                    pa_datetime(2024, 1, 3),
+                    pa_datetime(2024, 1, 2),
+                ]
+            ),
+            pa.array([11, 22, 33, 22, 10, 20]),
+        ],
+        names=["customer_id", "event_timestamp", "created", "feature1"],
+    )
+
+
+def point_in_time_join_brute(
+    entity_table: pa.Table,
+    feature_tables: List[
+        Tuple[pa.Table, str, str, Dict[str, str], List[str], timedelta]
+    ],
+    event_timestamp_col="event_timestamp",
+):
+    ret_fields = [entity_table.schema.field(n) for n in entity_table.schema.names]
+
+    from operator import itemgetter
+
+    ret = entity_table.to_pydict()
+    batch_dict = entity_table.to_pydict()
+
+    for i, row_timestmap in enumerate(batch_dict[event_timestamp_col]):
+        for (
+            feature_table,
+            timestamp_key,
+            created_timestamp_key,
+            join_key_map,
+            feature_refs,
+            ttl,
+        ) in feature_tables:
+            if i == 0:
+                ret_fields.extend(
+                    [
+                        feature_table.schema.field(f)
+                        for f in feature_table.schema.names
+                        if f not in join_key_map.values()
+                        and f != timestamp_key
+                        and f != created_timestamp_key
+                    ]
+                )
+
+            def check_equality(ft_dict, batch_dict, x, y):
+                return all(
+                    [ft_dict[k][x] == batch_dict[v][y] for k, v in join_key_map.items()]
+                )
+
+            ft_dict = feature_table.to_pydict()
+
+            found_matches = [
+                (j, (ft_dict[timestamp_key][j], ft_dict[created_timestamp_key][j]))
+                # (j, ft_dict[timestamp_key][j])
+                for j in range(feature_table.num_rows)
+                if check_equality(ft_dict, batch_dict, j, i)
+                and ft_dict[timestamp_key][j] <= row_timestmap
+                and ft_dict[timestamp_key][j] >= row_timestmap - ttl
+            ]
+
+            index_found = (
+                max(found_matches, key=itemgetter(1))[0] if found_matches else None
+            )
+
+            for col in ft_dict.keys():
+                if col not in feature_refs:
+                    continue
+
+                if col not in ret:
+                    ret[col] = []
+
+                if index_found is not None:
+                    ret[col].append(ft_dict[col][index_found])
+                else:
+                    ret[col].append(None)
+
+    return pa.Table.from_pydict(ret, schema=pa.schema(ret_fields))
+
+
+def tables_equal_ignore_order(actual: pa.Table, expected: pa.Table):
+    sort_keys = [(name, "ascending") for name in actual.column_names]
+    sort_indices = pc.sort_indices(actual, sort_keys)
+    actual = pc.take(actual, sort_indices)
+
+    sort_keys = [(name, "ascending") for name in expected.column_names]
+    sort_indices = pc.sort_indices(expected, sort_keys)
+    expected = pc.take(expected, sort_indices)
+
+    return actual.equals(expected)
+
+
+def test_point_in_time_join():
+    expected = point_in_time_join_brute(
+        customer_table(),
+        feature_tables=[
+            (
+                features_table_1(),
+                "event_timestamp",
+                "created",
+                {"customer_id": "customer_id"},
+                ["feature1"],
+                timedelta(days=10),
+            )
+        ],
+    )
+
+    actual = point_in_time_join(
+        ibis.memtable(customer_table()),
+        feature_tables=[
+            (
+                ibis.memtable(features_table_1()),
+                "event_timestamp",
+                "created",
+                {"customer_id": "customer_id"},
+                ["feature1"],
+                timedelta(days=10),
+            )
+        ],
+    ).to_pyarrow()
+
+    assert tables_equal_ignore_order(actual, expected)
diff --git a/sdk/python/tests/unit/infra/offline_stores/test_offline_store.py b/sdk/python/tests/unit/infra/offline_stores/test_offline_store.py
index ef0cce0470..0232a8d379 100644
--- a/sdk/python/tests/unit/infra/offline_stores/test_offline_store.py
+++ b/sdk/python/tests/unit/infra/offline_stores/test_offline_store.py
@@ -39,6 +39,9 @@
 
 
 class MockRetrievalJob(RetrievalJob):
+    def to_sql(self) -> str:
+        return ""
+
     def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
         """
         Synchronously executes the underlying query and returns the result as a pandas dataframe.
@@ -46,7 +49,7 @@ def _to_df_internal(self, timeout: Optional[int] = None) -> pd.DataFrame:
         Does not handle on demand transformations or dataset validation. For either of those,
         `to_df` should be used.
         """
-        pass
+        return pd.DataFrame()
 
     def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
         """
@@ -55,17 +58,17 @@ def _to_arrow_internal(self, timeout: Optional[int] = None) -> pyarrow.Table:
         Does not handle on demand transformations or dataset validation. For either of those,
         `to_arrow` should be used.
         """
-        pass
+        return pyarrow.Table()
 
     @property
-    def full_feature_names(self) -> bool:
+    def full_feature_names(self) -> bool:  # type: ignore
         """Returns True if full feature names should be applied to the results of the query."""
-        pass
+        return False
 
     @property
-    def on_demand_feature_views(self) -> List[OnDemandFeatureView]:
+    def on_demand_feature_views(self) -> List[OnDemandFeatureView]:  # type: ignore
         """Returns a list containing all the on demand feature views to be handled."""
-        pass
+        return []
 
     def persist(
         self,
@@ -87,7 +90,7 @@ def persist(
     @property
     def metadata(self) -> Optional[RetrievalMetadata]:
         """Returns metadata about the retrieval job."""
-        pass
+        raise NotImplementedError
 
 
 # Since RetreivalJob are not really tested for subclasses we add some tests here.
@@ -115,6 +118,7 @@ def retrieval_job(request, environment):
             database="feast",
             s3_staging_location="s3://feast-integration-tests/redshift/tests/ingestion",
             iam_role="arn:aws:iam::402087665549:role/redshift_s3_access_role",
+            workgroup="",
         )
         environment.test_repo_config.offline_store = offline_store_config
         return RedshiftRetrievalJob(
@@ -163,7 +167,6 @@ def retrieval_job(request, environment):
             full_feature_names=False,
         )
     elif request.param is MsSqlServerRetrievalJob:
-
         return MsSqlServerRetrievalJob(
             query="query",
             engine=MagicMock(),
@@ -208,12 +211,12 @@ def retrieval_job(request, environment):
 
 
 def test_to_sql():
-    assert MockRetrievalJob().to_sql() is None
+    assert MockRetrievalJob().to_sql() == ""
 
 
 @pytest.mark.parametrize("timeout", (None, 30))
 def test_to_df_timeout(retrieval_job, timeout: Optional[int]):
-    with patch.object(retrieval_job, "_to_df_internal") as mock_to_df_internal:
+    with patch.object(retrieval_job, "_to_arrow_internal") as mock_to_df_internal:
         retrieval_job.to_df(timeout=timeout)
         mock_to_df_internal.assert_called_once_with(timeout=timeout)
 
diff --git a/sdk/python/tests/unit/infra/offline_stores/test_redshift.py b/sdk/python/tests/unit/infra/offline_stores/test_redshift.py
index 049977489b..a9ed4c2b59 100644
--- a/sdk/python/tests/unit/infra/offline_stores/test_redshift.py
+++ b/sdk/python/tests/unit/infra/offline_stores/test_redshift.py
@@ -31,7 +31,9 @@ def test_offline_write_batch(
             user="user",
             iam_role="abcdef",
             s3_staging_location="s3://bucket/path",
+            workgroup="",
         ),
+        entity_key_serialization_version=2,
     )
 
     batch_source = RedshiftSource(
diff --git a/sdk/python/tests/unit/infra/offline_stores/test_snowflake.py b/sdk/python/tests/unit/infra/offline_stores/test_snowflake.py
new file mode 100644
index 0000000000..6e27cba341
--- /dev/null
+++ b/sdk/python/tests/unit/infra/offline_stores/test_snowflake.py
@@ -0,0 +1,84 @@
+import re
+from unittest.mock import ANY, MagicMock, patch
+
+import pandas as pd
+import pytest
+from pytest_mock import MockFixture
+
+from feast import FeatureView, Field, FileSource
+from feast.infra.offline_stores.snowflake import (
+    SnowflakeOfflineStoreConfig,
+    SnowflakeRetrievalJob,
+)
+from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig
+from feast.repo_config import RepoConfig
+from feast.types import Array, String
+
+
+@pytest.fixture(params=["s3", "s3gov"])
+def retrieval_job(request):
+    offline_store_config = SnowflakeOfflineStoreConfig(
+        type="snowflake.offline",
+        account="snow",
+        user="snow",
+        password="snow",
+        role="snow",
+        warehouse="snow",
+        database="FEAST",
+        schema="OFFLINE",
+        storage_integration_name="FEAST_S3",
+        blob_export_location=f"{request.param}://feast-snowflake-offload/export",
+    )
+    retrieval_job = SnowflakeRetrievalJob(
+        query="SELECT * FROM snowflake",
+        snowflake_conn=MagicMock(),
+        config=RepoConfig(
+            registry="s3://ml-test/repo/registry.db",
+            project="test",
+            provider="snowflake.offline",
+            online_store=SqliteOnlineStoreConfig(type="sqlite"),
+            offline_store=offline_store_config,
+            entity_key_serialization_version=2,
+        ),
+        full_feature_names=True,
+        on_demand_feature_views=[],
+    )
+    return retrieval_job
+
+
+def test_to_remote_storage(retrieval_job):
+    stored_files = ["just a path", "maybe another"]
+    with patch.object(
+        retrieval_job, "to_snowflake", return_value=None
+    ) as mock_to_snowflake, patch.object(
+        retrieval_job, "_get_file_names_from_copy_into", return_value=stored_files
+    ) as mock_get_file_names_from_copy:
+        assert (
+            retrieval_job.to_remote_storage() == stored_files
+        ), "should return the list of files"
+        mock_to_snowflake.assert_called_once()
+        mock_get_file_names_from_copy.assert_called_once_with(ANY, ANY)
+        native_path = mock_get_file_names_from_copy.call_args[0][1]
+        assert re.match("^s3://.*", native_path), "path should be s3://*"
+
+
+def test_snowflake_to_df_internal(
+    retrieval_job: SnowflakeRetrievalJob, mocker: MockFixture
+):
+    mock_execute = mocker.patch(
+        "feast.infra.offline_stores.snowflake.execute_snowflake_statement"
+    )
+    mock_execute.return_value.fetch_pandas_all.return_value = pd.DataFrame.from_dict(
+        {"feature1": ['["1", "2", "3"]', None, "[]"]}  # For Valid, Null, and Empty
+    )
+
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Array(String)),
+        ],
+        source=FileSource(path="dummy.path"),  # Dummy value
+    )
+    retrieval_job._feature_views = [feature_view]
+    retrieval_job._to_df_internal()
diff --git a/sdk/python/tests/unit/infra/registry/test_remote.py b/sdk/python/tests/unit/infra/registry/test_remote.py
new file mode 100644
index 0000000000..16c6f0abfb
--- /dev/null
+++ b/sdk/python/tests/unit/infra/registry/test_remote.py
@@ -0,0 +1,69 @@
+import assertpy
+import grpc_testing
+import pytest
+
+from feast import Entity, FeatureStore
+from feast.infra.registry.remote import RemoteRegistry, RemoteRegistryConfig
+from feast.protos.feast.registry import RegistryServer_pb2, RegistryServer_pb2_grpc
+from feast.registry_server import RegistryServer
+
+
+class GrpcMockChannel:
+    def __init__(self, service, servicer):
+        self.service = service
+        self.test_server = grpc_testing.server_from_dictionary(
+            {service: servicer},
+            grpc_testing.strict_real_time(),
+        )
+
+    def unary_unary(
+        self, method: str, request_serializer=None, response_deserializer=None
+    ):
+        method_name = method.split("/")[-1]
+        method_descriptor = self.service.methods_by_name[method_name]
+
+        def handler(request):
+            rpc = self.test_server.invoke_unary_unary(
+                method_descriptor, (), request, None
+            )
+
+            response, trailing_metadata, code, details = rpc.termination()
+            return response
+
+        return handler
+
+
+@pytest.fixture
+def mock_remote_registry(environment):
+    store: FeatureStore = environment.feature_store
+    registry = RemoteRegistry(
+        registry_config=RemoteRegistryConfig(path=""), project=None, repo_path=None
+    )
+    mock_channel = GrpcMockChannel(
+        RegistryServer_pb2.DESCRIPTOR.services_by_name["RegistryServer"],
+        RegistryServer(store=store),
+    )
+    registry.stub = RegistryServer_pb2_grpc.RegistryServerStub(mock_channel)
+    return registry
+
+
+def test_registry_server_get_entity(environment, mock_remote_registry):
+    store: FeatureStore = environment.feature_store
+    entity = Entity(name="driver", join_keys=["driver_id"])
+    store.apply(entity)
+
+    expected = store.get_entity(entity.name)
+    response_entity = mock_remote_registry.get_entity(entity.name, store.project)
+
+    assertpy.assert_that(response_entity).is_equal_to(expected)
+
+
+def test_registry_server_proto(environment, mock_remote_registry):
+    store: FeatureStore = environment.feature_store
+    entity = Entity(name="driver", join_keys=["driver_id"])
+    store.apply(entity)
+
+    expected = store.registry.proto()
+    response = mock_remote_registry.proto()
+
+    assertpy.assert_that(response).is_equal_to(expected)
diff --git a/sdk/python/tests/unit/infra/scaffolding/test_repo_config.py b/sdk/python/tests/unit/infra/scaffolding/test_repo_config.py
index 42229f8683..e1839fbd8b 100644
--- a/sdk/python/tests/unit/infra/scaffolding/test_repo_config.py
+++ b/sdk/python/tests/unit/infra/scaffolding/test_repo_config.py
@@ -12,7 +12,6 @@ def _test_config(config_text, expect_error: Optional[str]):
     Try loading a repo config and check raised error against a regex.
     """
     with tempfile.TemporaryDirectory() as repo_dir_name:
-
         repo_path = Path(repo_dir_name)
 
         repo_config = repo_path / "feature_store.yaml"
@@ -45,8 +44,7 @@ def test_nullable_online_store_aws():
         entity_key_serialization_version: 2
         """
         ),
-        expect_error="__root__ -> offline_store -> __root__\n"
-        "  please specify either cluster_id & user if using provisioned clusters, or workgroup if using serverless (type=value_error)",
+        expect_error="4 validation errors for RepoConfig\nregion\n  Field required",
     )
 
 
@@ -154,8 +152,7 @@ def test_extra_field():
             path: "online_store.db"
         """
         ),
-        expect_error="__root__ -> online_store -> that_field_should_not_be_here\n"
-        "  extra fields not permitted (type=value_error.extra)",
+        expect_error="1 validation error for RepoConfig\nthat_field_should_not_be_here\n  Extra inputs are not permitted",
     )
 
 
@@ -186,7 +183,7 @@ def test_bad_type():
             path: 100500
         """
         ),
-        expect_error="__root__ -> online_store -> path\n  str type expected",
+        expect_error="1 validation error for RepoConfig\npath\n  Input should be a valid string",
     )
 
 
@@ -201,9 +198,7 @@ def test_no_project():
         entity_key_serialization_version: 2
         """
         ),
-        expect_error="1 validation error for RepoConfig\n"
-        "project\n"
-        "  field required (type=value_error.missing)",
+        expect_error="1 validation error for RepoConfig\nproject\n  Field required",
     )
 
 
diff --git a/sdk/python/tests/unit/infra/test_inference_unit_tests.py b/sdk/python/tests/unit/infra/test_inference_unit_tests.py
index a108d397bd..e4acef9713 100644
--- a/sdk/python/tests/unit/infra/test_inference_unit_tests.py
+++ b/sdk/python/tests/unit/infra/test_inference_unit_tests.py
@@ -1,3 +1,5 @@
+from typing import Any, Dict
+
 import pandas as pd
 import pytest
 
@@ -51,7 +53,7 @@ def test_infer_datasource_names_dwh():
             data_source = dwh_class(query="test_query")
 
 
-def test_on_demand_features_type_inference():
+def test_on_demand_features_valid_type_inference():
     # Create Feature Views
     date_request = RequestSource(
         name="date_request",
@@ -73,6 +75,31 @@ def test_view(features_df: pd.DataFrame) -> pd.DataFrame:
 
     test_view.infer_features()
 
+    @on_demand_feature_view(
+        sources=[date_request],
+        schema=[
+            Field(name="output", dtype=UnixTimestamp),
+            Field(name="object_output", dtype=String),
+        ],
+        mode="python",
+    )
+    def python_native_test_view(input_dict: Dict[str, Any]) -> Dict[str, Any]:
+        output_dict: Dict[str, Any] = {
+            "output": input_dict["some_date"],
+            "object_output": str(input_dict["some_date"]),
+        }
+        return output_dict
+
+    python_native_test_view.infer_features()
+
+
+def test_on_demand_features_invalid_type_inference():
+    # Create Feature Views
+    date_request = RequestSource(
+        name="date_request",
+        schema=[Field(name="some_date", dtype=UnixTimestamp)],
+    )
+
     @on_demand_feature_view(
         sources=[date_request],
         schema=[
@@ -96,13 +123,49 @@ def invalid_test_view(features_df: pd.DataFrame) -> pd.DataFrame:
         ],
         sources=[date_request],
     )
-    def test_view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame:
+    def view_with_missing_feature(features_df: pd.DataFrame) -> pd.DataFrame:
         data = pd.DataFrame()
         data["output"] = features_df["some_date"]
         return data
 
     with pytest.raises(SpecifiedFeaturesNotPresentError):
-        test_view_with_missing_feature.infer_features()
+        view_with_missing_feature.infer_features()
+
+    with pytest.raises(TypeError):
+
+        @on_demand_feature_view(
+            sources=[date_request],
+            schema=[
+                Field(name="output", dtype=UnixTimestamp),
+                Field(name="object_output", dtype=String),
+            ],
+            mode="pandas",
+        )
+        def python_native_test_invalid_pandas_view(
+            input_dict: Dict[str, Any],
+        ) -> Dict[str, Any]:
+            output_dict: Dict[str, Any] = {
+                "output": input_dict["some_date"],
+                "object_output": str(input_dict["some_date"]),
+            }
+            return output_dict
+
+    with pytest.raises(TypeError):
+
+        @on_demand_feature_view(
+            sources=[date_request],
+            schema=[
+                Field(name="output", dtype=UnixTimestamp),
+                Field(name="object_output", dtype=String),
+            ],
+            mode="python",
+        )
+        def python_native_test_invalid_dict_view(
+            features_df: pd.DataFrame,
+        ) -> pd.DataFrame:
+            data = pd.DataFrame()
+            data["output"] = features_df["some_date"]
+            return data
 
 
 def test_datasource_inference():
diff --git a/sdk/python/tests/unit/local_feast_tests/test_local_feature_store.py b/sdk/python/tests/unit/local_feast_tests/test_local_feature_store.py
index 2cced75eb2..b3e6762c17 100644
--- a/sdk/python/tests/unit/local_feast_tests/test_local_feature_store.py
+++ b/sdk/python/tests/unit/local_feast_tests/test_local_feature_store.py
@@ -130,6 +130,7 @@ def test_apply_feature_view_with_inline_batch_source(
         driver_fv = FeatureView(
             name="driver_fv",
             entities=[entity],
+            schema=[Field(name="test_key", dtype=Int64)],
             source=file_source,
         )
 
@@ -178,6 +179,7 @@ def test_apply_feature_view_with_inline_stream_source(
         driver_fv = FeatureView(
             name="driver_fv",
             entities=[entity],
+            schema=[Field(name="test_key", dtype=Int64)],
             source=stream_source,
         )
 
@@ -332,6 +334,7 @@ def test_apply_conflicting_feature_view_names(feature_store_with_local_registry)
     driver_stats = FeatureView(
         name="driver_hourly_stats",
         entities=[driver],
+        schema=[Field(name="driver_id", dtype=Int64)],
         ttl=timedelta(seconds=10),
         online=False,
         source=FileSource(path="driver_stats.parquet"),
@@ -341,6 +344,7 @@ def test_apply_conflicting_feature_view_names(feature_store_with_local_registry)
     customer_stats = FeatureView(
         name="DRIVER_HOURLY_STATS",
         entities=[customer],
+        schema=[Field(name="customer_id", dtype=Int64)],
         ttl=timedelta(seconds=10),
         online=False,
         source=FileSource(path="customer_stats.parquet"),
diff --git a/sdk/python/tests/unit/online_store/test_online_retrieval.py b/sdk/python/tests/unit/online_store/test_online_retrieval.py
index 926c7226fc..5368b1e11c 100644
--- a/sdk/python/tests/unit/online_store/test_online_retrieval.py
+++ b/sdk/python/tests/unit/online_store/test_online_retrieval.py
@@ -124,6 +124,17 @@ def test_online() -> None:
 
         assert "trips" in result
 
+        result = store.get_online_features(
+            features=["customer_profile_pandas_odfv:on_demand_age"],
+            entity_rows=[{"driver_id": 1, "customer_id": "5"}],
+            full_feature_names=False,
+        ).to_dict()
+
+        assert "on_demand_age" in result
+        assert result["driver_id"] == [1]
+        assert result["customer_id"] == ["5"]
+        assert result["on_demand_age"] == [4]
+
         # invalid table reference
         with pytest.raises(FeatureViewNotFoundException):
             store.get_online_features(
@@ -276,7 +287,7 @@ def test_online_to_df():
         )
         provider = store._get_provider()
 
-        for (d, c) in zip(driver_ids, customer_ids):
+        for d, c in zip(driver_ids, customer_ids):
             """
             driver table:
                                     lon                    lat
diff --git a/sdk/python/tests/unit/test_feature_views.py b/sdk/python/tests/unit/test_feature_views.py
index 379396e5c6..0220d1a8a9 100644
--- a/sdk/python/tests/unit/test_feature_views.py
+++ b/sdk/python/tests/unit/test_feature_views.py
@@ -1,17 +1,16 @@
 from datetime import timedelta
 
 import pytest
+from typeguard import TypeCheckError
 
-from feast.aggregation import Aggregation
 from feast.batch_feature_view import BatchFeatureView
 from feast.data_format import AvroFormat
-from feast.data_source import KafkaSource, PushSource
+from feast.data_source import KafkaSource
 from feast.entity import Entity
 from feast.feature_view import FeatureView
 from feast.field import Field
 from feast.infra.offline_stores.file_source import FileSource
 from feast.protos.feast.types.Value_pb2 import ValueType
-from feast.stream_feature_view import StreamFeatureView, stream_feature_view
 from feast.types import Float32
 
 
@@ -60,169 +59,10 @@ def test_create_batch_feature_view():
         )
 
 
-def test_create_stream_feature_view():
-    stream_source = KafkaSource(
-        name="kafka",
-        timestamp_field="event_timestamp",
-        kafka_bootstrap_servers="",
-        message_format=AvroFormat(""),
-        topic="topic",
-        batch_source=FileSource(path="some path"),
-    )
-    StreamFeatureView(
-        name="test kafka stream feature view",
-        entities=[],
-        ttl=timedelta(days=30),
-        source=stream_source,
-        aggregations=[],
-    )
-
-    push_source = PushSource(
-        name="push source", batch_source=FileSource(path="some path")
-    )
-    StreamFeatureView(
-        name="test push source feature view",
-        entities=[],
-        ttl=timedelta(days=30),
-        source=push_source,
-        aggregations=[],
-    )
-
-    with pytest.raises(TypeError):
-        StreamFeatureView(
-            name="test batch feature view",
-            entities=[],
-            ttl=timedelta(days=30),
-            aggregations=[],
-        )
-
-    with pytest.raises(ValueError):
-        StreamFeatureView(
-            name="test batch feature view",
-            entities=[],
-            ttl=timedelta(days=30),
-            source=FileSource(path="some path"),
-            aggregations=[],
-        )
-
-
 def simple_udf(x: int):
     return x + 3
 
 
-def test_stream_feature_view_serialization():
-    entity = Entity(name="driver_entity", join_keys=["test_key"])
-    stream_source = KafkaSource(
-        name="kafka",
-        timestamp_field="event_timestamp",
-        kafka_bootstrap_servers="",
-        message_format=AvroFormat(""),
-        topic="topic",
-        batch_source=FileSource(path="some path"),
-    )
-
-    sfv = StreamFeatureView(
-        name="test kafka stream feature view",
-        entities=[entity],
-        ttl=timedelta(days=30),
-        owner="test@example.com",
-        online=True,
-        schema=[Field(name="dummy_field", dtype=Float32)],
-        description="desc",
-        aggregations=[
-            Aggregation(
-                column="dummy_field",
-                function="max",
-                time_window=timedelta(days=1),
-            )
-        ],
-        timestamp_field="event_timestamp",
-        mode="spark",
-        source=stream_source,
-        udf=simple_udf,
-        tags={},
-    )
-
-    sfv_proto = sfv.to_proto()
-
-    new_sfv = StreamFeatureView.from_proto(sfv_proto=sfv_proto)
-    assert new_sfv == sfv
-
-
-def test_stream_feature_view_udfs():
-    entity = Entity(name="driver_entity", join_keys=["test_key"])
-    stream_source = KafkaSource(
-        name="kafka",
-        timestamp_field="event_timestamp",
-        kafka_bootstrap_servers="",
-        message_format=AvroFormat(""),
-        topic="topic",
-        batch_source=FileSource(path="some path"),
-    )
-
-    @stream_feature_view(
-        entities=[entity],
-        ttl=timedelta(days=30),
-        owner="test@example.com",
-        online=True,
-        schema=[Field(name="dummy_field", dtype=Float32)],
-        description="desc",
-        aggregations=[
-            Aggregation(
-                column="dummy_field",
-                function="max",
-                time_window=timedelta(days=1),
-            )
-        ],
-        timestamp_field="event_timestamp",
-        source=stream_source,
-    )
-    def pandas_udf(pandas_df):
-        import pandas as pd
-
-        assert type(pandas_df) == pd.DataFrame
-        df = pandas_df.transform(lambda x: x + 10, axis=1)
-        return df
-
-    import pandas as pd
-
-    df = pd.DataFrame({"A": [1, 2, 3], "B": [10, 20, 30]})
-    sfv = pandas_udf
-    sfv_proto = sfv.to_proto()
-    new_sfv = StreamFeatureView.from_proto(sfv_proto)
-    new_df = new_sfv.udf(df)
-
-    expected_df = pd.DataFrame({"A": [11, 12, 13], "B": [20, 30, 40]})
-
-    assert new_df.equals(expected_df)
-
-
-def test_stream_feature_view_initialization_with_optional_fields_omitted():
-    entity = Entity(name="driver_entity", join_keys=["test_key"])
-    stream_source = KafkaSource(
-        name="kafka",
-        timestamp_field="event_timestamp",
-        kafka_bootstrap_servers="",
-        message_format=AvroFormat(""),
-        topic="topic",
-        batch_source=FileSource(path="some path"),
-    )
-
-    sfv = StreamFeatureView(
-        name="test kafka stream feature view",
-        entities=[entity],
-        schema=[],
-        description="desc",
-        timestamp_field="event_timestamp",
-        source=stream_source,
-        tags={},
-    )
-    sfv_proto = sfv.to_proto()
-
-    new_sfv = StreamFeatureView.from_proto(sfv_proto=sfv_proto)
-    assert new_sfv == sfv
-
-
 def test_hash():
     file_source = FileSource(name="my-file-source", path="test.parquet")
     feature_view_1 = FeatureView(
@@ -275,5 +115,5 @@ def test_hash():
 
 
 def test_field_types():
-    with pytest.raises(TypeError):
+    with pytest.raises(TypeCheckError):
         Field(name="name", dtype=ValueType.INT32)
diff --git a/sdk/python/tests/unit/test_on_demand_feature_view.py b/sdk/python/tests/unit/test_on_demand_feature_view.py
index ca8e7b25cb..cf4afa9422 100644
--- a/sdk/python/tests/unit/test_on_demand_feature_view.py
+++ b/sdk/python/tests/unit/test_on_demand_feature_view.py
@@ -12,12 +12,19 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+from typing import Any, Dict, List
+
 import pandas as pd
+import pytest
 
 from feast.feature_view import FeatureView
 from feast.field import Field
 from feast.infra.offline_stores.file_source import FileSource
-from feast.on_demand_feature_view import OnDemandFeatureView
+from feast.on_demand_feature_view import (
+    OnDemandFeatureView,
+    PandasTransformation,
+    PythonTransformation,
+)
 from feast.types import Float32
 
 
@@ -31,10 +38,19 @@ def udf1(features_df: pd.DataFrame) -> pd.DataFrame:
 def udf2(features_df: pd.DataFrame) -> pd.DataFrame:
     df = pd.DataFrame()
     df["output1"] = features_df["feature1"] + 100
-    df["output2"] = features_df["feature2"] + 100
+    df["output2"] = features_df["feature2"] + 101
     return df
 
 
+def python_native_udf(features_dict: Dict[str, Any]) -> Dict[str, Any]:
+    output_dict: Dict[str, List[Any]] = {
+        "output1": features_dict["feature1"] + 100,
+        "output2": features_dict["feature2"] + 101,
+    }
+    return output_dict
+
+
+@pytest.mark.filterwarnings("ignore:udf and udf_string parameters are deprecated")
 def test_hash():
     file_source = FileSource(name="my-file-source", path="test.parquet")
     feature_view = FeatureView(
@@ -54,8 +70,9 @@ def test_hash():
             Field(name="output1", dtype=Float32),
             Field(name="output2", dtype=Float32),
         ],
-        udf=udf1,
-        udf_string="udf1 source code",
+        feature_transformation=PandasTransformation(
+            udf=udf1, udf_string="udf1 source code"
+        ),
     )
     on_demand_feature_view_2 = OnDemandFeatureView(
         name="my-on-demand-feature-view",
@@ -64,8 +81,9 @@ def test_hash():
             Field(name="output1", dtype=Float32),
             Field(name="output2", dtype=Float32),
         ],
-        udf=udf1,
-        udf_string="udf1 source code",
+        feature_transformation=PandasTransformation(
+            udf=udf1, udf_string="udf1 source code"
+        ),
     )
     on_demand_feature_view_3 = OnDemandFeatureView(
         name="my-on-demand-feature-view",
@@ -74,8 +92,9 @@ def test_hash():
             Field(name="output1", dtype=Float32),
             Field(name="output2", dtype=Float32),
         ],
-        udf=udf2,
-        udf_string="udf2 source code",
+        feature_transformation=PandasTransformation(
+            udf=udf2, udf_string="udf2 source code"
+        ),
     )
     on_demand_feature_view_4 = OnDemandFeatureView(
         name="my-on-demand-feature-view",
@@ -84,8 +103,21 @@ def test_hash():
             Field(name="output1", dtype=Float32),
             Field(name="output2", dtype=Float32),
         ],
-        udf=udf2,
-        udf_string="udf2 source code",
+        feature_transformation=PandasTransformation(
+            udf=udf2, udf_string="udf2 source code"
+        ),
+        description="test",
+    )
+    on_demand_feature_view_5 = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        feature_transformation=PandasTransformation(
+            udf=udf2, udf_string="udf2 source code"
+        ),
         description="test",
     )
 
@@ -105,3 +137,138 @@ def test_hash():
         on_demand_feature_view_4,
     }
     assert len(s4) == 3
+
+    assert on_demand_feature_view_5.feature_transformation == PandasTransformation(
+        udf2, "udf2 source code"
+    )
+
+
+def test_python_native_transformation_mode():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    sources = [feature_view]
+
+    on_demand_feature_view_python_native = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        feature_transformation=PythonTransformation(
+            udf=python_native_udf, udf_string="python native udf source code"
+        ),
+        description="test",
+        mode="python",
+    )
+
+    on_demand_feature_view_python_native_err = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        feature_transformation=PandasTransformation(
+            udf=python_native_udf, udf_string="python native udf source code"
+        ),
+        description="test",
+        mode="python",
+    )
+
+    assert (
+        on_demand_feature_view_python_native.feature_transformation
+        == PythonTransformation(python_native_udf, "python native udf source code")
+    )
+
+    with pytest.raises(TypeError):
+        assert (
+            on_demand_feature_view_python_native_err.feature_transformation
+            == PythonTransformation(python_native_udf, "python native udf source code")
+        )
+
+    with pytest.raises(TypeError):
+        # This should fail
+        on_demand_feature_view_python_native_err.feature_transformation.transform(
+            {
+                "feature1": 0,
+                "feature2": 1,
+            }
+        )
+
+    assert on_demand_feature_view_python_native.get_transformed_features(
+        {
+            "feature1": 0,
+            "feature2": 1,
+        }
+    ) == {"feature1": 0, "feature2": 1, "output1": 100, "output2": 102}
+
+
+@pytest.mark.filterwarnings("ignore:udf and udf_string parameters are deprecated")
+def test_from_proto_backwards_compatible_udf():
+    file_source = FileSource(name="my-file-source", path="test.parquet")
+    feature_view = FeatureView(
+        name="my-feature-view",
+        entities=[],
+        schema=[
+            Field(name="feature1", dtype=Float32),
+            Field(name="feature2", dtype=Float32),
+        ],
+        source=file_source,
+    )
+    sources = [feature_view]
+    on_demand_feature_view = OnDemandFeatureView(
+        name="my-on-demand-feature-view",
+        sources=sources,
+        schema=[
+            Field(name="output1", dtype=Float32),
+            Field(name="output2", dtype=Float32),
+        ],
+        feature_transformation=PandasTransformation(
+            udf=udf1, udf_string="udf1 source code"
+        ),
+    )
+
+    # We need a proto with the "udf1 source code" in the user_defined_function.body_text
+    # and to populate it in feature_transformation
+    proto = on_demand_feature_view.to_proto()
+    assert (
+        on_demand_feature_view.feature_transformation.udf_string
+        == proto.spec.feature_transformation.user_defined_function.body_text
+    )
+    # Because of the current set of code this is just confirming it is empty
+    assert proto.spec.user_defined_function.body_text == ""
+    assert proto.spec.user_defined_function.body == b""
+    assert proto.spec.user_defined_function.name == ""
+
+    # Assuming we pull it from the registry we set it to the feature_transformation proto values
+    proto.spec.user_defined_function.name = (
+        proto.spec.feature_transformation.user_defined_function.name
+    )
+    proto.spec.user_defined_function.body = (
+        proto.spec.feature_transformation.user_defined_function.body
+    )
+    proto.spec.user_defined_function.body_text = (
+        proto.spec.feature_transformation.user_defined_function.body_text
+    )
+
+    # And now we're going to null the feature_transformation proto object before reserializing the entire proto
+    # proto.spec.user_defined_function.body_text = on_demand_feature_view.transformation.udf_string
+    proto.spec.feature_transformation.user_defined_function.name = ""
+    proto.spec.feature_transformation.user_defined_function.body = b""
+    proto.spec.feature_transformation.user_defined_function.body_text = ""
+
+    # And now we expect the to get the same object back under feature_transformation
+    reserialized_proto = OnDemandFeatureView.from_proto(proto)
+    assert (
+        reserialized_proto.feature_transformation.udf_string
+        == on_demand_feature_view.feature_transformation.udf_string
+    )
diff --git a/sdk/python/tests/unit/test_on_demand_pandas_transformation.py b/sdk/python/tests/unit/test_on_demand_pandas_transformation.py
new file mode 100644
index 0000000000..c5f066dd83
--- /dev/null
+++ b/sdk/python/tests/unit/test_on_demand_pandas_transformation.py
@@ -0,0 +1,93 @@
+import os
+import tempfile
+from datetime import datetime, timedelta
+
+import pandas as pd
+
+from feast import Entity, FeatureStore, FeatureView, FileSource, RepoConfig
+from feast.driver_test_data import create_driver_hourly_stats_df
+from feast.field import Field
+from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig
+from feast.on_demand_feature_view import on_demand_feature_view
+from feast.types import Float32, Float64, Int64
+
+
+def test_pandas_transformation():
+    with tempfile.TemporaryDirectory() as data_dir:
+        store = FeatureStore(
+            config=RepoConfig(
+                project="test_on_demand_python_transformation",
+                registry=os.path.join(data_dir, "registry.db"),
+                provider="local",
+                entity_key_serialization_version=2,
+                online_store=SqliteOnlineStoreConfig(
+                    path=os.path.join(data_dir, "online.db")
+                ),
+            )
+        )
+
+        # Generate test data.
+        end_date = datetime.now().replace(microsecond=0, second=0, minute=0)
+        start_date = end_date - timedelta(days=15)
+
+        driver_entities = [1001, 1002, 1003, 1004, 1005]
+        driver_df = create_driver_hourly_stats_df(driver_entities, start_date, end_date)
+        driver_stats_path = os.path.join(data_dir, "driver_stats.parquet")
+        driver_df.to_parquet(path=driver_stats_path, allow_truncated_timestamps=True)
+
+        driver = Entity(name="driver", join_keys=["driver_id"])
+
+        driver_stats_source = FileSource(
+            name="driver_hourly_stats_source",
+            path=driver_stats_path,
+            timestamp_field="event_timestamp",
+            created_timestamp_column="created",
+        )
+
+        driver_stats_fv = FeatureView(
+            name="driver_hourly_stats",
+            entities=[driver],
+            ttl=timedelta(days=0),
+            schema=[
+                Field(name="conv_rate", dtype=Float32),
+                Field(name="acc_rate", dtype=Float32),
+                Field(name="avg_daily_trips", dtype=Int64),
+            ],
+            online=True,
+            source=driver_stats_source,
+        )
+
+        @on_demand_feature_view(
+            sources=[driver_stats_fv],
+            schema=[Field(name="conv_rate_plus_acc", dtype=Float64)],
+            mode="pandas",
+        )
+        def pandas_view(inputs: pd.DataFrame) -> pd.DataFrame:
+            df = pd.DataFrame()
+            df["conv_rate_plus_acc"] = inputs["conv_rate"] + inputs["acc_rate"]
+            return df
+
+        store.apply([driver, driver_stats_source, driver_stats_fv, pandas_view])
+
+        entity_rows = [
+            {
+                "driver_id": 1001,
+            }
+        ]
+        store.write_to_online_store(
+            feature_view_name="driver_hourly_stats", df=driver_df
+        )
+
+        online_response = store.get_online_features(
+            entity_rows=entity_rows,
+            features=[
+                "driver_hourly_stats:conv_rate",
+                "driver_hourly_stats:acc_rate",
+                "driver_hourly_stats:avg_daily_trips",
+                "pandas_view:conv_rate_plus_acc",
+            ],
+        ).to_df()
+
+        assert online_response["conv_rate_plus_acc"].equals(
+            online_response["conv_rate"] + online_response["acc_rate"]
+        )
diff --git a/sdk/python/tests/unit/test_on_demand_python_transformation.py b/sdk/python/tests/unit/test_on_demand_python_transformation.py
new file mode 100644
index 0000000000..4913b6c1b1
--- /dev/null
+++ b/sdk/python/tests/unit/test_on_demand_python_transformation.py
@@ -0,0 +1,172 @@
+import os
+import tempfile
+import unittest
+from datetime import datetime, timedelta
+from typing import Any, Dict
+
+import pandas as pd
+import pytest
+
+from feast import Entity, FeatureStore, FeatureView, FileSource, RepoConfig
+from feast.driver_test_data import create_driver_hourly_stats_df
+from feast.field import Field
+from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig
+from feast.on_demand_feature_view import on_demand_feature_view
+from feast.types import Float32, Float64, Int64
+
+
+class TestOnDemandPythonTransformation(unittest.TestCase):
+    def setUp(self):
+        with tempfile.TemporaryDirectory() as data_dir:
+            self.store = FeatureStore(
+                config=RepoConfig(
+                    project="test_on_demand_python_transformation",
+                    registry=os.path.join(data_dir, "registry.db"),
+                    provider="local",
+                    entity_key_serialization_version=2,
+                    online_store=SqliteOnlineStoreConfig(
+                        path=os.path.join(data_dir, "online.db")
+                    ),
+                )
+            )
+
+            # Generate test data.
+            end_date = datetime.now().replace(microsecond=0, second=0, minute=0)
+            start_date = end_date - timedelta(days=15)
+
+            driver_entities = [1001, 1002, 1003, 1004, 1005]
+            driver_df = create_driver_hourly_stats_df(
+                driver_entities, start_date, end_date
+            )
+            driver_stats_path = os.path.join(data_dir, "driver_stats.parquet")
+            driver_df.to_parquet(
+                path=driver_stats_path, allow_truncated_timestamps=True
+            )
+
+            driver = Entity(name="driver", join_keys=["driver_id"])
+
+            driver_stats_source = FileSource(
+                name="driver_hourly_stats_source",
+                path=driver_stats_path,
+                timestamp_field="event_timestamp",
+                created_timestamp_column="created",
+            )
+
+            driver_stats_fv = FeatureView(
+                name="driver_hourly_stats",
+                entities=[driver],
+                ttl=timedelta(days=0),
+                schema=[
+                    Field(name="conv_rate", dtype=Float32),
+                    Field(name="acc_rate", dtype=Float32),
+                    Field(name="avg_daily_trips", dtype=Int64),
+                ],
+                online=True,
+                source=driver_stats_source,
+            )
+
+            @on_demand_feature_view(
+                sources=[driver_stats_fv],
+                schema=[Field(name="conv_rate_plus_acc_pandas", dtype=Float64)],
+                mode="pandas",
+            )
+            def pandas_view(inputs: pd.DataFrame) -> pd.DataFrame:
+                df = pd.DataFrame()
+                df["conv_rate_plus_acc_pandas"] = (
+                    inputs["conv_rate"] + inputs["acc_rate"]
+                )
+                return df
+
+            @on_demand_feature_view(
+                sources=[driver_stats_fv[["conv_rate", "acc_rate"]]],
+                schema=[Field(name="conv_rate_plus_acc_python", dtype=Float64)],
+                mode="python",
+            )
+            def python_view(inputs: Dict[str, Any]) -> Dict[str, Any]:
+                output: Dict[str, Any] = {
+                    "conv_rate_plus_acc_python": [
+                        conv_rate + acc_rate
+                        for conv_rate, acc_rate in zip(
+                            inputs["conv_rate"], inputs["acc_rate"]
+                        )
+                    ]
+                }
+                return output
+
+            @on_demand_feature_view(
+                sources=[driver_stats_fv[["conv_rate", "acc_rate"]]],
+                schema=[
+                    Field(name="conv_rate_plus_acc_python_singleton", dtype=Float64)
+                ],
+                mode="python",
+            )
+            def python_singleton_view(inputs: Dict[str, Any]) -> Dict[str, Any]:
+                output: Dict[str, Any] = dict(conv_rate_plus_acc_python=float("-inf"))
+                output["conv_rate_plus_acc_python_singleton"] = (
+                    inputs["conv_rate"] + inputs["acc_rate"]
+                )
+                return output
+
+            with pytest.raises(TypeError):
+                # Note the singleton view will fail as the type is
+                # expected to be a List which can be confirmed in _infer_features_dict
+                self.store.apply(
+                    [
+                        driver,
+                        driver_stats_source,
+                        driver_stats_fv,
+                        pandas_view,
+                        python_view,
+                        python_singleton_view,
+                    ]
+                )
+
+            self.store.apply(
+                [driver, driver_stats_source, driver_stats_fv, pandas_view, python_view]
+            )
+            self.store.write_to_online_store(
+                feature_view_name="driver_hourly_stats", df=driver_df
+            )
+
+    def test_python_pandas_parity(self):
+        entity_rows = [
+            {
+                "driver_id": 1001,
+            }
+        ]
+
+        online_python_response = self.store.get_online_features(
+            entity_rows=entity_rows,
+            features=[
+                "driver_hourly_stats:conv_rate",
+                "driver_hourly_stats:acc_rate",
+                "python_view:conv_rate_plus_acc_python",
+            ],
+        ).to_dict()
+
+        online_pandas_response = self.store.get_online_features(
+            entity_rows=entity_rows,
+            features=[
+                "driver_hourly_stats:conv_rate",
+                "driver_hourly_stats:acc_rate",
+                "pandas_view:conv_rate_plus_acc_pandas",
+            ],
+        ).to_df()
+
+        assert len(online_python_response) == 4
+        assert all(
+            key in online_python_response.keys()
+            for key in [
+                "driver_id",
+                "acc_rate",
+                "conv_rate",
+                "conv_rate_plus_acc_python",
+            ]
+        )
+        assert len(online_python_response["conv_rate_plus_acc_python"]) == 1
+        assert (
+            online_python_response["conv_rate_plus_acc_python"][0]
+            == online_pandas_response["conv_rate_plus_acc_pandas"][0]
+            == online_python_response["conv_rate"][0]
+            + online_python_response["acc_rate"][0]
+        )
diff --git a/sdk/python/tests/unit/test_registry_server.py b/sdk/python/tests/unit/test_registry_server.py
new file mode 100644
index 0000000000..734bbfe19b
--- /dev/null
+++ b/sdk/python/tests/unit/test_registry_server.py
@@ -0,0 +1,60 @@
+import assertpy
+import grpc_testing
+import pytest
+from google.protobuf.empty_pb2 import Empty
+
+from feast import Entity, FeatureStore
+from feast.protos.feast.registry import RegistryServer_pb2
+from feast.registry_server import RegistryServer
+
+
+def call_registry_server(server, method: str, request=None):
+    service = RegistryServer_pb2.DESCRIPTOR.services_by_name["RegistryServer"]
+    rpc = server.invoke_unary_unary(
+        service.methods_by_name[method], (), request if request else Empty(), None
+    )
+
+    return rpc.termination()
+
+
+@pytest.fixture
+def registry_server(environment):
+    store: FeatureStore = environment.feature_store
+
+    servicer = RegistryServer(store=store)
+
+    return grpc_testing.server_from_dictionary(
+        {RegistryServer_pb2.DESCRIPTOR.services_by_name["RegistryServer"]: servicer},
+        grpc_testing.strict_real_time(),
+    )
+
+
+def test_registry_server_get_entity(environment, registry_server):
+    store: FeatureStore = environment.feature_store
+    entity = Entity(name="driver", join_keys=["driver_id"])
+    store.apply(entity)
+
+    expected = store.get_entity(entity.name)
+
+    get_entity_request = RegistryServer_pb2.GetEntityRequest(
+        name=entity.name, project=store.project, allow_cache=False
+    )
+    response, trailing_metadata, code, details = call_registry_server(
+        registry_server, "GetEntity", get_entity_request
+    )
+    response_entity = Entity.from_proto(response)
+
+    assertpy.assert_that(response_entity).is_equal_to(expected)
+
+
+def test_registry_server_proto(environment, registry_server):
+    store: FeatureStore = environment.feature_store
+    entity = Entity(name="driver", join_keys=["driver_id"])
+    store.apply(entity)
+
+    expected = store.registry.proto()
+    response, trailing_metadata, code, details = call_registry_server(
+        registry_server, "Proto"
+    )
+
+    assertpy.assert_that(response).is_equal_to(expected)
diff --git a/sdk/python/tests/unit/test_sql_registry.py b/sdk/python/tests/unit/test_sql_registry.py
index 39896d3a9d..094b8967c1 100644
--- a/sdk/python/tests/unit/test_sql_registry.py
+++ b/sdk/python/tests/unit/test_sql_registry.py
@@ -66,10 +66,12 @@ def pg_registry():
     )
     logger.info("Waited for %s seconds until postgres container was up", waited)
     container_port = container.get_exposed_port(5432)
+    container_host = container.get_container_host_ip()
 
     registry_config = RegistryConfig(
         registry_type="sql",
-        path=f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@127.0.0.1:{container_port}/{POSTGRES_DB}",
+        path=f"postgresql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{container_host}:{container_port}/{POSTGRES_DB}",
+        sqlalchemy_config_kwargs={"echo": False, "pool_pre_ping": True},
     )
 
     yield SqlRegistry(registry_config, "project", None)
@@ -91,7 +93,7 @@ def mysql_registry():
     container.start()
 
     # The log string uses '8.0.*' since the version might be changed as new Docker images are pushed.
-    log_string_to_wait_for = "/usr/sbin/mysqld: ready for connections. Version: '(\d+(\.\d+){1,2})'  socket: '/var/run/mysqld/mysqld.sock'  port: 3306"  # noqa: W605
+    log_string_to_wait_for = "/usr/sbin/mysqld: ready for connections. Version: '(\\d+(\\.\\d+){1,2})'  socket: '/var/run/mysqld/mysqld.sock'  port: 3306"  # noqa: W605
     waited = wait_for_logs(
         container=container,
         predicate=log_string_to_wait_for,
@@ -100,10 +102,12 @@ def mysql_registry():
     )
     logger.info("Waited for %s seconds until mysql container was up", waited)
     container_port = container.get_exposed_port(3306)
+    container_host = container.get_container_host_ip()
 
     registry_config = RegistryConfig(
         registry_type="sql",
-        path=f"mysql+mysqldb://{POSTGRES_USER}:{POSTGRES_PASSWORD}@127.0.0.1:{container_port}/{POSTGRES_DB}",
+        path=f"mysql+pymysql://{POSTGRES_USER}:{POSTGRES_PASSWORD}@{container_host}:{container_port}/{POSTGRES_DB}",
+        sqlalchemy_config_kwargs={"echo": False, "pool_pre_ping": True},
     )
 
     yield SqlRegistry(registry_config, "project", None)
@@ -214,6 +218,7 @@ def test_apply_feature_view_success(sql_registry):
     fv1 = FeatureView(
         name="my_feature_view_1",
         schema=[
+            Field(name="test", dtype=Int64),
             Field(name="fs1_my_feature_1", dtype=Int64),
             Field(name="fs1_my_feature_2", dtype=String),
             Field(name="fs1_my_feature_3", dtype=Array(String)),
@@ -309,6 +314,7 @@ def test_apply_on_demand_feature_view_success(sql_registry):
         entities=[driver()],
         ttl=timedelta(seconds=8640000000),
         schema=[
+            Field(name="driver_id", dtype=Int64),
             Field(name="daily_miles_driven", dtype=Float32),
             Field(name="lat", dtype=Float32),
             Field(name="lon", dtype=Float32),
@@ -399,7 +405,10 @@ def test_modify_feature_views_success(sql_registry):
 
     fv1 = FeatureView(
         name="my_feature_view_1",
-        schema=[Field(name="fs1_my_feature_1", dtype=Int64)],
+        schema=[
+            Field(name="test", dtype=Int64),
+            Field(name="fs1_my_feature_1", dtype=Int64),
+        ],
         entities=[entity],
         tags={"team": "matchmaking"},
         source=batch_source,
@@ -523,6 +532,7 @@ def test_apply_data_source(sql_registry):
     fv1 = FeatureView(
         name="my_feature_view_1",
         schema=[
+            Field(name="test", dtype=Int64),
             Field(name="fs1_my_feature_1", dtype=Int64),
             Field(name="fs1_my_feature_2", dtype=String),
             Field(name="fs1_my_feature_3", dtype=Array(String)),
@@ -592,6 +602,7 @@ def test_registry_cache(sql_registry):
     fv1 = FeatureView(
         name="my_feature_view_1",
         schema=[
+            Field(name="test", dtype=Int64),
             Field(name="fs1_my_feature_1", dtype=Int64),
             Field(name="fs1_my_feature_2", dtype=String),
             Field(name="fs1_my_feature_3", dtype=Array(String)),
diff --git a/sdk/python/tests/unit/test_stream_feature_view.py b/sdk/python/tests/unit/test_stream_feature_view.py
new file mode 100644
index 0000000000..b53f9a593a
--- /dev/null
+++ b/sdk/python/tests/unit/test_stream_feature_view.py
@@ -0,0 +1,252 @@
+import copy
+from datetime import timedelta
+
+import pytest
+
+from feast.aggregation import Aggregation
+from feast.batch_feature_view import BatchFeatureView
+from feast.data_format import AvroFormat
+from feast.data_source import KafkaSource, PushSource
+from feast.entity import Entity
+from feast.field import Field
+from feast.infra.offline_stores.file_source import FileSource
+from feast.protos.feast.core.StreamFeatureView_pb2 import (
+    StreamFeatureView as StreamFeatureViewProto,
+)
+from feast.stream_feature_view import StreamFeatureView, stream_feature_view
+from feast.types import Float32
+
+
+def test_create_batch_feature_view():
+    batch_source = FileSource(path="some path")
+    BatchFeatureView(
+        name="test batch feature view",
+        entities=[],
+        ttl=timedelta(days=30),
+        source=batch_source,
+    )
+
+    with pytest.raises(TypeError):
+        BatchFeatureView(
+            name="test batch feature view", entities=[], ttl=timedelta(days=30)
+        )
+
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+    with pytest.raises(ValueError):
+        BatchFeatureView(
+            name="test batch feature view",
+            entities=[],
+            ttl=timedelta(days=30),
+            source=stream_source,
+        )
+
+
+def test_create_stream_feature_view():
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+    StreamFeatureView(
+        name="test kafka stream feature view",
+        entities=[],
+        ttl=timedelta(days=30),
+        source=stream_source,
+        aggregations=[],
+    )
+
+    push_source = PushSource(
+        name="push source", batch_source=FileSource(path="some path")
+    )
+    StreamFeatureView(
+        name="test push source feature view",
+        entities=[],
+        ttl=timedelta(days=30),
+        source=push_source,
+        aggregations=[],
+    )
+
+    with pytest.raises(TypeError):
+        StreamFeatureView(
+            name="test batch feature view",
+            entities=[],
+            ttl=timedelta(days=30),
+            aggregations=[],
+        )
+
+    with pytest.raises(ValueError):
+        StreamFeatureView(
+            name="test batch feature view",
+            entities=[],
+            ttl=timedelta(days=30),
+            source=FileSource(path="some path"),
+            aggregations=[],
+        )
+
+
+def simple_udf(x: int):
+    return x + 3
+
+
+def test_stream_feature_view_serialization():
+    entity = Entity(name="driver_entity", join_keys=["test_key"])
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+
+    sfv = StreamFeatureView(
+        name="test kafka stream feature view",
+        entities=[entity],
+        ttl=timedelta(days=30),
+        owner="test@example.com",
+        online=True,
+        schema=[Field(name="dummy_field", dtype=Float32)],
+        description="desc",
+        aggregations=[
+            Aggregation(
+                column="dummy_field",
+                function="max",
+                time_window=timedelta(days=1),
+            )
+        ],
+        timestamp_field="event_timestamp",
+        mode="spark",
+        source=stream_source,
+        udf=simple_udf,
+        tags={},
+    )
+
+    sfv_proto = sfv.to_proto()
+
+    new_sfv = StreamFeatureView.from_proto(sfv_proto=sfv_proto)
+    assert new_sfv == sfv
+    assert (
+        sfv_proto.spec.feature_transformation.user_defined_function.name == "simple_udf"
+    )
+
+
+def test_stream_feature_view_udfs():
+    entity = Entity(name="driver_entity", join_keys=["test_key"])
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+
+    @stream_feature_view(
+        entities=[entity],
+        ttl=timedelta(days=30),
+        owner="test@example.com",
+        online=True,
+        schema=[Field(name="dummy_field", dtype=Float32)],
+        description="desc",
+        aggregations=[
+            Aggregation(
+                column="dummy_field",
+                function="max",
+                time_window=timedelta(days=1),
+            )
+        ],
+        timestamp_field="event_timestamp",
+        source=stream_source,
+    )
+    def pandas_udf(pandas_df):
+        import pandas as pd
+
+        assert type(pandas_df) == pd.DataFrame
+        df = pandas_df.transform(lambda x: x + 10, axis=1)
+        return df
+
+    import pandas as pd
+
+    df = pd.DataFrame({"A": [1, 2, 3], "B": [10, 20, 30]})
+    sfv = pandas_udf
+    sfv_proto = sfv.to_proto()
+    new_sfv = StreamFeatureView.from_proto(sfv_proto)
+    new_df = new_sfv.udf(df)
+
+    expected_df = pd.DataFrame({"A": [11, 12, 13], "B": [20, 30, 40]})
+
+    assert new_df.equals(expected_df)
+
+
+def test_stream_feature_view_initialization_with_optional_fields_omitted():
+    entity = Entity(name="driver_entity", join_keys=["test_key"])
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+
+    sfv = StreamFeatureView(
+        name="test kafka stream feature view",
+        entities=[entity],
+        schema=[],
+        description="desc",
+        timestamp_field="event_timestamp",
+        source=stream_source,
+        tags={},
+    )
+    sfv_proto = sfv.to_proto()
+
+    new_sfv = StreamFeatureView.from_proto(sfv_proto=sfv_proto)
+    assert new_sfv == sfv
+
+
+def test_stream_feature_view_proto_type():
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+    sfv = StreamFeatureView(
+        name="test stream featureview proto class",
+        entities=[],
+        ttl=timedelta(days=30),
+        source=stream_source,
+        aggregations=[],
+    )
+    assert sfv.proto_class is StreamFeatureViewProto
+
+
+def test_stream_feature_view_copy():
+    stream_source = KafkaSource(
+        name="kafka",
+        timestamp_field="event_timestamp",
+        kafka_bootstrap_servers="",
+        message_format=AvroFormat(""),
+        topic="topic",
+        batch_source=FileSource(path="some path"),
+    )
+    sfv = StreamFeatureView(
+        name="test stream featureview proto class",
+        entities=[],
+        ttl=timedelta(days=30),
+        source=stream_source,
+        aggregations=[],
+    )
+    assert sfv == copy.copy(sfv)
diff --git a/sdk/python/tests/unit/test_substrait_transformation.py b/sdk/python/tests/unit/test_substrait_transformation.py
new file mode 100644
index 0000000000..28ab68c70b
--- /dev/null
+++ b/sdk/python/tests/unit/test_substrait_transformation.py
@@ -0,0 +1,134 @@
+import os
+import tempfile
+from datetime import datetime, timedelta
+
+import pandas as pd
+
+from feast import Entity, FeatureStore, FeatureView, FileSource, RepoConfig
+from feast.driver_test_data import create_driver_hourly_stats_df
+from feast.field import Field
+from feast.infra.online_stores.sqlite import SqliteOnlineStoreConfig
+from feast.on_demand_feature_view import on_demand_feature_view
+from feast.types import Float32, Float64, Int64
+
+
+def test_ibis_pandas_parity():
+    with tempfile.TemporaryDirectory() as data_dir:
+        store = FeatureStore(
+            config=RepoConfig(
+                project="test_on_demand_substrait_transformation",
+                registry=os.path.join(data_dir, "registry.db"),
+                provider="local",
+                entity_key_serialization_version=2,
+                online_store=SqliteOnlineStoreConfig(
+                    path=os.path.join(data_dir, "online.db")
+                ),
+            )
+        )
+
+        # Generate test data.
+        end_date = datetime.now().replace(microsecond=0, second=0, minute=0)
+        start_date = end_date - timedelta(days=15)
+
+        driver_entities = [1001, 1002, 1003, 1004, 1005]
+        driver_df = create_driver_hourly_stats_df(driver_entities, start_date, end_date)
+        driver_stats_path = os.path.join(data_dir, "driver_stats.parquet")
+        driver_df.to_parquet(path=driver_stats_path, allow_truncated_timestamps=True)
+
+        driver = Entity(name="driver", join_keys=["driver_id"])
+
+        driver_stats_source = FileSource(
+            name="driver_hourly_stats_source",
+            path=driver_stats_path,
+            timestamp_field="event_timestamp",
+            created_timestamp_column="created",
+        )
+
+        driver_stats_fv = FeatureView(
+            name="driver_hourly_stats",
+            entities=[driver],
+            ttl=timedelta(days=1),
+            schema=[
+                Field(name="conv_rate", dtype=Float32),
+                Field(name="acc_rate", dtype=Float32),
+                Field(name="avg_daily_trips", dtype=Int64),
+            ],
+            online=True,
+            source=driver_stats_source,
+        )
+
+        @on_demand_feature_view(
+            sources=[driver_stats_fv],
+            schema=[Field(name="conv_rate_plus_acc", dtype=Float64)],
+            mode="pandas",
+        )
+        def pandas_view(inputs: pd.DataFrame) -> pd.DataFrame:
+            df = pd.DataFrame()
+            df["conv_rate_plus_acc"] = inputs["conv_rate"] + inputs["acc_rate"]
+            return df
+
+        from ibis.expr.types import Table
+
+        @on_demand_feature_view(
+            sources=[driver_stats_fv[["conv_rate", "acc_rate"]]],
+            schema=[Field(name="conv_rate_plus_acc_substrait", dtype=Float64)],
+            mode="substrait",
+        )
+        def substrait_view(inputs: Table) -> Table:
+            return inputs.select(
+                (inputs["conv_rate"] + inputs["acc_rate"]).name(
+                    "conv_rate_plus_acc_substrait"
+                )
+            )
+
+        store.apply(
+            [driver, driver_stats_source, driver_stats_fv, substrait_view, pandas_view]
+        )
+
+        store.materialize(
+            start_date=start_date,
+            end_date=end_date,
+        )
+
+        entity_df = pd.DataFrame.from_dict(
+            {
+                # entity's join key -> entity values
+                "driver_id": [1001, 1002, 1003],
+                # "event_timestamp" (reserved key) -> timestamps
+                "event_timestamp": [
+                    start_date + timedelta(days=4),
+                    start_date + timedelta(days=5),
+                    start_date + timedelta(days=6),
+                ],
+            }
+        )
+
+        requested_features = [
+            "driver_hourly_stats:conv_rate",
+            "driver_hourly_stats:acc_rate",
+            "driver_hourly_stats:avg_daily_trips",
+            "substrait_view:conv_rate_plus_acc_substrait",
+            "pandas_view:conv_rate_plus_acc",
+        ]
+
+        training_df = store.get_historical_features(
+            entity_df=entity_df, features=requested_features
+        )
+
+        assert training_df.to_df()["conv_rate_plus_acc"].equals(
+            training_df.to_df()["conv_rate_plus_acc_substrait"]
+        )
+
+        assert training_df.to_arrow()["conv_rate_plus_acc"].equals(
+            training_df.to_arrow()["conv_rate_plus_acc_substrait"]
+        )
+
+        online_response = store.get_online_features(
+            features=requested_features,
+            entity_rows=[{"driver_id": 1001}, {"driver_id": 1002}, {"driver_id": 1003}],
+        )
+
+        assert (
+            online_response.to_dict()["conv_rate_plus_acc"]
+            == online_response.to_dict()["conv_rate_plus_acc_substrait"]
+        )
diff --git a/sdk/python/tests/unit/test_type_map.py b/sdk/python/tests/unit/test_type_map.py
index 78ff15fe93..87e5ef0548 100644
--- a/sdk/python/tests/unit/test_type_map.py
+++ b/sdk/python/tests/unit/test_type_map.py
@@ -43,8 +43,39 @@ def test_null_unix_timestamp_list():
     ),
 )
 def test_python_values_to_proto_values_bool(values):
-
     protos = python_values_to_proto_values(values, ValueType.BOOL)
     converted = feast_value_type_to_python_type(protos[0])
 
     assert converted is bool(values[0])
+
+
+@pytest.mark.parametrize(
+    "values, value_type, expected",
+    (
+        (np.array([b"[1,2,3]"]), ValueType.INT64_LIST, [1, 2, 3]),
+        (np.array([b"[1,2,3]"]), ValueType.INT32_LIST, [1, 2, 3]),
+        (np.array([b"[1.5,2.5,3.5]"]), ValueType.FLOAT_LIST, [1.5, 2.5, 3.5]),
+        (np.array([b"[1.5,2.5,3.5]"]), ValueType.DOUBLE_LIST, [1.5, 2.5, 3.5]),
+        (np.array([b'["a","b","c"]']), ValueType.STRING_LIST, ["a", "b", "c"]),
+        (np.array([b"[true,false]"]), ValueType.BOOL_LIST, [True, False]),
+        (np.array([b"[1,0]"]), ValueType.BOOL_LIST, [True, False]),
+        (np.array([None]), ValueType.STRING_LIST, None),
+        ([b"[1,2,3]"], ValueType.INT64_LIST, [1, 2, 3]),
+        ([b"[1,2,3]"], ValueType.INT32_LIST, [1, 2, 3]),
+        ([b"[1.5,2.5,3.5]"], ValueType.FLOAT_LIST, [1.5, 2.5, 3.5]),
+        ([b"[1.5,2.5,3.5]"], ValueType.DOUBLE_LIST, [1.5, 2.5, 3.5]),
+        ([b'["a","b","c"]'], ValueType.STRING_LIST, ["a", "b", "c"]),
+        ([b"[true,false]"], ValueType.BOOL_LIST, [True, False]),
+        ([b"[1,0]"], ValueType.BOOL_LIST, [True, False]),
+        ([None], ValueType.STRING_LIST, None),
+    ),
+)
+def test_python_values_to_proto_values_bytes_to_list(values, value_type, expected):
+    protos = python_values_to_proto_values(values, value_type)
+    converted = feast_value_type_to_python_type(protos[0])
+    assert converted == expected
+
+
+def test_python_values_to_proto_values_bytes_to_list_not_supported():
+    with pytest.raises(TypeError):
+        _ = python_values_to_proto_values([b"[]"], ValueType.BYTES_LIST)
diff --git a/sdk/python/tests/utils/e2e_test_validation.py b/sdk/python/tests/utils/e2e_test_validation.py
index bacc8c1720..798e82de9b 100644
--- a/sdk/python/tests/utils/e2e_test_validation.py
+++ b/sdk/python/tests/utils/e2e_test_validation.py
@@ -180,7 +180,6 @@ def make_feature_store_yaml(
     repo_dir_name: Path,
     offline_creator: DataSourceCreator,
 ):
-
     offline_store_config = offline_creator.create_offline_store_config()
     online_store = test_repo_config.online_store
 
@@ -193,7 +192,7 @@ def make_feature_store_yaml(
         repo_path=str(Path(repo_dir_name)),
         entity_key_serialization_version=2,
     )
-    config_dict = config.dict()
+    config_dict = config.model_dump(by_alias=True)
     if (
         isinstance(config_dict["online_store"], dict)
         and "redis_type" in config_dict["online_store"]
diff --git a/sdk/python/tests/utils/feature_records.py b/sdk/python/tests/utils/feature_records.py
index 3f210f9e1c..2c26f3c000 100644
--- a/sdk/python/tests/utils/feature_records.py
+++ b/sdk/python/tests/utils/feature_records.py
@@ -260,7 +260,7 @@ def get_expected_training_df(
     if "val_to_add" in expected_df.columns:
         expected_df[
             get_response_feature_name("conv_rate_plus_val_to_add", full_feature_names)
-        ] = (expected_df[conv_feature_name] + expected_df["val_to_add"])
+        ] = expected_df[conv_feature_name] + expected_df["val_to_add"]
 
     return expected_df
 
@@ -291,7 +291,6 @@ def assert_feature_service_correctness(
     expected_df,
     event_timestamp,
 ):
-
     job_from_df = store.get_historical_features(
         entity_df=entity_df,
         features=store.get_feature_service(feature_service.name),
diff --git a/sdk/python/tests/utils/test_wrappers.py b/sdk/python/tests/utils/test_wrappers.py
index efee675790..eb5e3ef3f1 100644
--- a/sdk/python/tests/utils/test_wrappers.py
+++ b/sdk/python/tests/utils/test_wrappers.py
@@ -1,14 +1,14 @@
-import pytest
+import warnings
 
 
 def no_warnings(func):
     def wrapper_no_warnings(*args, **kwargs):
-        with pytest.warns(None) as warnings:
+        with warnings.catch_warnings(record=True) as record:
             func(*args, **kwargs)
 
-        if len(warnings) > 0:
+        if len(record) > 0:
             raise AssertionError(
-                "Warnings were raised: " + ", ".join([str(w) for w in warnings])
+                "Warnings were raised: " + ", ".join([str(w) for w in record])
             )
 
     return wrapper_no_warnings
diff --git a/setup.cfg b/setup.cfg
index 2781169a71..2a9acf13da 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -1,25 +1,2 @@
-[isort]
-src_paths = feast,tests
-multi_line_output=3
-include_trailing_comma=True
-force_grid_wrap=0
-use_parentheses=True
-line_length=88
-skip=feast/protos,feast/embedded_go/lib
-known_first_party=feast,feast_serving_server,feast_core_server
-default_section=THIRDPARTY
-
-[flake8]
-ignore = E203, E266, E501, W503
-max-line-length = 88
-max-complexity = 20
-select = B,C,E,F,W,T4
-exclude = .git,__pycache__,docs/conf.py,dist,feast/protos,feast/embedded_go/lib
-
-[mypy]
-files=feast,tests
-ignore_missing_imports=true
-exclude=feast/embedded_go/lib
-
 [bdist_wheel]
 universal = 1
diff --git a/setup.py b/setup.py
index 33bf76e181..c1d872a99f 100644
--- a/setup.py
+++ b/setup.py
@@ -38,46 +38,37 @@
 DESCRIPTION = "Python SDK for Feast"
 URL = "https://github.com/feast-dev/feast"
 AUTHOR = "Feast"
-REQUIRES_PYTHON = ">=3.8.0"
+REQUIRES_PYTHON = ">=3.9.0"
 
 REQUIRED = [
     "click>=7.0.0,<9.0.0",
     "colorama>=0.3.9,<1",
     "dill~=0.3.0",
-    "fastavro>=1.1.0,<2",
-    "grpcio>=1.56.2,<2",
-    "grpcio-tools>=1.56.2,<2",
-    "grpcio-reflection>=1.56.2,<2",
-    "grpcio-health-checking>=1.56.2,<2",
-    "mypy-protobuf==3.1",
+    "mypy-protobuf>=3.1",
     "Jinja2>=2,<4",
     "jsonschema",
     "mmh3",
     "numpy>=1.22,<1.25",
-    "pandas>=1.4.3,<2",
-    # For some reason pandavro higher than 1.5.* only support pandas less than 1.3.
-    "pandavro~=1.5.0",
+    "pandas>=1.4.3,<3",
     # Higher than 4.23.4 seems to cause a seg fault
-    "protobuf<4.23.4,>3.20",
-    "proto-plus>=1.20.0,<2",
+    "protobuf>=4.24.0,<5.0.0",
     "pyarrow>=4",
-    "pydantic>=1,<2",
+    "pydantic>=2.0.0",
     "pygments>=2.12.0,<3",
     "PyYAML>=5.4.0,<7",
     "requests",
-    "SQLAlchemy[mypy]>1,<2",
+    "SQLAlchemy[mypy]>1",
     "tabulate>=0.8.0,<1",
     "tenacity>=7,<9",
     "toml>=0.10.0,<1",
     "tqdm>=4,<5",
-    "typeguard==2.13.3",
-    "fastapi>=0.68.0,<0.100",
+    "typeguard>=4.0.0",
+    "fastapi>=0.68.0",
     "uvicorn[standard]>=0.14.0,<1",
-    "gunicorn",
-    "dask>=2021.1.0",
+    "gunicorn; platform_system != 'Windows'",
+    # https://github.com/dask/dask/issues/10996
+    "dask>=2021.1.0,<2024.3.0",
     "bowler",  # Needed for automatic repo upgrades
-    # FastAPI does not correctly pull starlette dependency on httpx see thread(https://github.com/tiangolo/fastapi/issues/5656).
-    "httpx>=0.23.3",
     "importlib-resources>=6.0.0,<7",
     "importlib_metadata>=6.8.0,<7",
 ]
@@ -90,7 +81,7 @@
     "google-cloud-datastore>=2.1.0,<3",
     "google-cloud-storage>=1.34.0,<3",
     "google-cloud-bigtable>=2.11.0,<3",
-    "fsspec<2023.10.0",
+    "fsspec<=2024.1.0",
 ]
 
 REDIS_REQUIRED = [
@@ -98,12 +89,14 @@
     "hiredis>=2.0.0,<3",
 ]
 
-AWS_REQUIRED = ["boto3>=1.17.0,<2", "docker>=5.0.2", "fsspec<2023.10.0"]
+AWS_REQUIRED = ["boto3>=1.17.0,<2", "docker>=5.0.2", "fsspec<=2024.1.0"]
 
 BYTEWAX_REQUIRED = ["bytewax==0.15.1", "docker>=5.0.2", "kubernetes<=20.13.0"]
 
+KUBERNETES_REQUIRED = ["kubernetes<=20.13.0"]
+
 SNOWFLAKE_REQUIRED = [
-    "snowflake-connector-python[pandas]>=3,<4",
+    "snowflake-connector-python[pandas]>=3.7,<4",
 ]
 
 SPARK_REQUIRED = [
@@ -116,7 +109,7 @@
     "psycopg2-binary>=2.8.3,<3",
 ]
 
-MYSQL_REQUIRED = ["mysqlclient", "pymysql", "types-PyMySQL"]
+MYSQL_REQUIRED = ["pymysql", "types-PyMySQL"]
 
 HBASE_REQUIRED = [
     "happybase>=1.2.0,<3",
@@ -126,7 +119,7 @@
     "cassandra-driver>=3.24.0,<4",
 ]
 
-GE_REQUIRED = ["great_expectations>=0.15.41,<0.16.0"]
+GE_REQUIRED = ["great_expectations>=0.15.41"]
 
 AZURE_REQUIRED = [
     "azure-storage-blob>=0.37.0",
@@ -144,21 +137,33 @@
     "hazelcast-python-client>=5.1",
 ]
 
+IBIS_REQUIRED = [
+    "ibis-framework",
+    "ibis-substrait",
+]
+
+GRPCIO_REQUIRED = [
+    "grpcio>=1.56.2,<2",
+    "grpcio-tools>=1.56.2,<2",
+    "grpcio-reflection>=1.56.2,<2",
+    "grpcio-health-checking>=1.56.2,<2",
+]
+
+DUCKDB_REQUIRED = ["ibis-framework[duckdb]"]
+
 CI_REQUIRED = (
     [
         "build",
         "virtualenv==20.23.0",
-        "cryptography>=35.0,<42",
-        "flake8>=6.0.0,<6.1.0",
-        "black>=22.6.0,<23",
-        "isort>=5,<6",
+        "cryptography>=35.0,<43",
+        "ruff>=0.3.3",
         "grpcio-testing>=1.56.2,<2",
+        # FastAPI does not correctly pull starlette dependency on httpx see thread(https://github.com/tiangolo/fastapi/issues/5656).
+        "httpx>=0.23.3",
         "minio==7.1.0",
         "mock==2.0.0",
-        "moto",
-        "mypy>=0.981,<0.990",
-        "avro==1.10.0",
-        "fsspec<2023.10.0",
+        "moto<5",
+        "mypy>=1.4.1",
         "urllib3>=1.25.4,<3",
         "psutil==5.9.0",
         "py>=1.11.0",  # https://github.com/pytest-dev/pytest/issues/10420
@@ -170,8 +175,9 @@
         "pytest-timeout==1.4.2",
         "pytest-ordering~=0.6.0",
         "pytest-mock==1.10.4",
+        "pytest-env",
         "Sphinx>4.0.0,<7",
-        "testcontainers>=3.5,<4",
+        "testcontainers==4.3.3",
         "firebase-admin>=5.2.0,<6",
         "pre-commit<3.3.2",
         "assertpy==1.1",
@@ -191,6 +197,7 @@
     + REDIS_REQUIRED
     + AWS_REQUIRED
     + BYTEWAX_REQUIRED
+    + KUBERNETES_REQUIRED
     + SNOWFLAKE_REQUIRED
     + SPARK_REQUIRED
     + POSTGRES_REQUIRED
@@ -202,16 +209,13 @@
     + AZURE_REQUIRED
     + ROCKSET_REQUIRED
     + HAZELCAST_REQUIRED
+    + IBIS_REQUIRED
+    + GRPCIO_REQUIRED
+    + DUCKDB_REQUIRED
 )
 
-
-# rtd builds fail because of mysql not being installed in their environment.
-# We can add mysql there, but it's not strictly needed. This will be faster for builds.
-DOCS_REQUIRED = CI_REQUIRED.copy()
-for _r in MYSQL_REQUIRED:
-    DOCS_REQUIRED.remove(_r)
-
-DEV_REQUIRED = ["mypy-protobuf==3.1", "grpcio-testing~=1.0"] + CI_REQUIRED
+DOCS_REQUIRED = CI_REQUIRED
+DEV_REQUIRED = CI_REQUIRED
 
 # Get git repo root directory
 repo_root = str(pathlib.Path(__file__).resolve().parent)
@@ -234,7 +238,7 @@
 else:
     use_scm_version = None
 
-PROTO_SUBDIRS = ["core", "serving", "types", "storage"]
+PROTO_SUBDIRS = ["core", "registry", "serving", "types", "storage"]
 PYTHON_CODE_PREFIX = "sdk/python"
 
 
@@ -356,6 +360,7 @@ def run(self):
         "gcp": GCP_REQUIRED,
         "aws": AWS_REQUIRED,
         "bytewax": BYTEWAX_REQUIRED,
+        "k8s": KUBERNETES_REQUIRED,
         "redis": REDIS_REQUIRED,
         "snowflake": SNOWFLAKE_REQUIRED,
         "spark": SPARK_REQUIRED,
@@ -368,7 +373,10 @@ def run(self):
         "docs": DOCS_REQUIRED,
         "cassandra": CASSANDRA_REQUIRED,
         "hazelcast": HAZELCAST_REQUIRED,
+        "grpcio": GRPCIO_REQUIRED,
         "rockset": ROCKSET_REQUIRED,
+        "ibis": IBIS_REQUIRED,
+        "duckdb": DUCKDB_REQUIRED,
     },
     include_package_data=True,
     license="Apache",
@@ -378,7 +386,7 @@ def run(self):
         "License :: OSI Approved :: Apache Software License",
         "Programming Language :: Python",
         "Programming Language :: Python :: 3",
-        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.9",
     ],
     entry_points={"console_scripts": ["feast=feast.cli:cli"]},
     use_scm_version=use_scm_version,
@@ -386,7 +394,7 @@ def run(self):
         "setuptools_scm",
         "grpcio>=1.56.2,<2",
         "grpcio-tools>=1.56.2,<2",
-        "mypy-protobuf==3.1",
+        "mypy-protobuf>=3.1",
         "pybindgen==0.22.0",
     ],
     cmdclass={
diff --git a/ui/README.md b/ui/README.md
index e91a8741ec..12aacd329e 100644
--- a/ui/README.md
+++ b/ui/README.md
@@ -46,7 +46,7 @@ ReactDOM.render(
 );
 ```
 
-When you start the React app, it will look for `project-list.json` to find a list of your projects. The JSON should looks something like this.
+When you start the React app, it will look for `projects-list.json` to find a list of your projects. The JSON should looks something like this.
 
 ```json
 {
@@ -61,6 +61,8 @@ When you start the React app, it will look for `project-list.json` to find a lis
 }
 ```
 
+* **Note** - `registryPath` only supports a file location or a url.
+
 ```
 // Start the React App
 yarn start
diff --git a/ui/package.json b/ui/package.json
index c826737cf6..babf01b8fa 100644
--- a/ui/package.json
+++ b/ui/package.json
@@ -1,6 +1,6 @@
 {
   "name": "@feast-dev/feast-ui",
-  "version": "0.35.0",
+  "version": "0.36.0",
   "private": false,
   "files": [
     "dist"
diff --git a/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx b/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx
index ee8e41bbf6..aac3f6ac5b 100644
--- a/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx
+++ b/ui/src/pages/feature-views/OnDemandFeatureViewOverviewTab.tsx
@@ -57,7 +57,7 @@ const OnDemandFeatureViewOverviewTab = ({
             </EuiTitle>
             <EuiHorizontalRule margin="xs" />
             <EuiCodeBlock language="py" fontSize="m" paddingSize="m">
-              {data?.spec?.userDefinedFunction?.bodyText}
+              {data?.spec?.featureTransformation?.userDefinedFunction?.bodyText}
             </EuiCodeBlock>
           </EuiPanel>
         </EuiFlexItem>
diff --git a/ui/yarn.lock b/ui/yarn.lock
index 78fe6863bf..5c9e5c17ac 100644
--- a/ui/yarn.lock
+++ b/ui/yarn.lock
@@ -25,12 +25,13 @@
   dependencies:
     "@babel/highlight" "^7.16.7"
 
-"@babel/code-frame@^7.18.6", "@babel/code-frame@^7.21.4":
-  version "7.21.4"
-  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.21.4.tgz#d0fa9e4413aca81f2b23b9442797bda1826edb39"
-  integrity sha512-LYvhNKfwWSPpocw8GI7gpK2nq3HSDuEPC/uSYaALSJu9xjsalaaYFOq0Pwt5KmVqwEbZlDu81aLXwBOmD/Fv9g==
+"@babel/code-frame@^7.22.13":
+  version "7.22.13"
+  resolved "https://registry.yarnpkg.com/@babel/code-frame/-/code-frame-7.22.13.tgz#e3c1c099402598483b7a8c46a721d1038803755e"
+  integrity sha512-XktuhWlJ5g+3TJXc5upd9Ks1HutSArik6jf2eAjYFyIOf4ej3RN+184cZbzDvbPnuTJIUhPKKJE3cIsYTiAT3w==
   dependencies:
-    "@babel/highlight" "^7.18.6"
+    "@babel/highlight" "^7.22.13"
+    chalk "^2.4.2"
 
 "@babel/compat-data@^7.13.11", "@babel/compat-data@^7.16.4", "@babel/compat-data@^7.16.8":
   version "7.16.8"
@@ -106,12 +107,12 @@
     jsesc "^2.5.1"
     source-map "^0.5.0"
 
-"@babel/generator@^7.21.4":
-  version "7.21.4"
-  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.21.4.tgz#64a94b7448989f421f919d5239ef553b37bb26bc"
-  integrity sha512-NieM3pVIYW2SwGzKoqfPrQsf4xGs9M9AIG3ThppsSRmO+m7eQhmI6amajKMUeIO37wFfsvnvcxQFx6x6iqxDnA==
+"@babel/generator@^7.23.0":
+  version "7.23.0"
+  resolved "https://registry.yarnpkg.com/@babel/generator/-/generator-7.23.0.tgz#df5c386e2218be505b34837acbcb874d7a983420"
+  integrity sha512-lN85QRR+5IbYrMWM6Y4pE/noaQtg4pNiqeNGX60eqOfo6gtEj6uw/JagelB8vVztSd7R6M5n1+PQkDbHbBRU4g==
   dependencies:
-    "@babel/types" "^7.21.4"
+    "@babel/types" "^7.23.0"
     "@jridgewell/gen-mapping" "^0.3.2"
     "@jridgewell/trace-mapping" "^0.3.17"
     jsesc "^2.5.1"
@@ -190,10 +191,10 @@
   dependencies:
     "@babel/types" "^7.16.7"
 
-"@babel/helper-environment-visitor@^7.18.9":
-  version "7.18.9"
-  resolved "https://registry.yarnpkg.com/@babel/helper-environment-visitor/-/helper-environment-visitor-7.18.9.tgz#0c0cee9b35d2ca190478756865bb3528422f51be"
-  integrity sha512-3r/aACDJ3fhQ/EVgFy0hpj8oHyHpQc+LPtJoY9SzTThAsStm4Ptegq92vqKoE3vD706ZVFWITnMnxucw+S9Ipg==
+"@babel/helper-environment-visitor@^7.22.20":
+  version "7.22.20"
+  resolved "https://registry.yarnpkg.com/@babel/helper-environment-visitor/-/helper-environment-visitor-7.22.20.tgz#96159db61d34a29dba454c959f5ae4a649ba9167"
+  integrity sha512-zfedSIzFhat/gFhWfHtgWvlec0nqB9YEIVrpuwjruLlXfUSnA8cJB0miHKwqDnQ7d32aKo2xt88/xZptwxbfhA==
 
 "@babel/helper-explode-assignable-expression@^7.16.7":
   version "7.16.7"
@@ -211,13 +212,13 @@
     "@babel/template" "^7.16.7"
     "@babel/types" "^7.16.7"
 
-"@babel/helper-function-name@^7.21.0":
-  version "7.21.0"
-  resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.21.0.tgz#d552829b10ea9f120969304023cd0645fa00b1b4"
-  integrity sha512-HfK1aMRanKHpxemaY2gqBmL04iAPOPRj7DxtNbiDOrJK+gdwkiNRVpCpUJYbUT+aZyemKN8brqTOxzCaG6ExRg==
+"@babel/helper-function-name@^7.23.0":
+  version "7.23.0"
+  resolved "https://registry.yarnpkg.com/@babel/helper-function-name/-/helper-function-name-7.23.0.tgz#1f9a3cdbd5b2698a670c30d2735f9af95ed52759"
+  integrity sha512-OErEqsrxjZTJciZ4Oo+eoZqeW9UIiOcuYKRJA4ZAgV9myA+pOXhhmpfNCKjEH/auVfEYVFJ6y1Tc4r0eIApqiw==
   dependencies:
-    "@babel/template" "^7.20.7"
-    "@babel/types" "^7.21.0"
+    "@babel/template" "^7.22.15"
+    "@babel/types" "^7.23.0"
 
 "@babel/helper-get-function-arity@^7.16.7":
   version "7.16.7"
@@ -233,12 +234,12 @@
   dependencies:
     "@babel/types" "^7.16.7"
 
-"@babel/helper-hoist-variables@^7.18.6":
-  version "7.18.6"
-  resolved "https://registry.yarnpkg.com/@babel/helper-hoist-variables/-/helper-hoist-variables-7.18.6.tgz#d4d2c8fb4baeaa5c68b99cc8245c56554f926678"
-  integrity sha512-UlJQPkFqFULIcyW5sbzgbkxn2FKRgwWiRexcuaR8RNJRy8+LLveqPjwZV/bwrLZCN0eUHD/x8D0heK1ozuoo6Q==
+"@babel/helper-hoist-variables@^7.22.5":
+  version "7.22.5"
+  resolved "https://registry.yarnpkg.com/@babel/helper-hoist-variables/-/helper-hoist-variables-7.22.5.tgz#c01a007dac05c085914e8fb652b339db50d823bb"
+  integrity sha512-wGjk9QZVzvknA6yKIUURb8zY3grXCcOZt+/7Wcy8O2uctxhplmUPkOdlgoNhmdVee2c92JXbf1xpMtVNbfoxRw==
   dependencies:
-    "@babel/types" "^7.18.6"
+    "@babel/types" "^7.22.5"
 
 "@babel/helper-member-expression-to-functions@^7.16.7":
   version "7.16.7"
@@ -328,28 +329,38 @@
   dependencies:
     "@babel/types" "^7.16.7"
 
-"@babel/helper-split-export-declaration@^7.18.6":
-  version "7.18.6"
-  resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.18.6.tgz#7367949bc75b20c6d5a5d4a97bba2824ae8ef075"
-  integrity sha512-bde1etTx6ZyTmobl9LLMMQsaizFVZrquTEHOqKeQESMKo4PlObf+8+JA25ZsIpZhT/WEd39+vOdLXAFG/nELpA==
+"@babel/helper-split-export-declaration@^7.22.6":
+  version "7.22.6"
+  resolved "https://registry.yarnpkg.com/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.22.6.tgz#322c61b7310c0997fe4c323955667f18fcefb91c"
+  integrity sha512-AsUnxuLhRYsisFiaJwvp1QF+I3KjD5FOxut14q/GzovUe6orHLesW2C7d754kRm53h5gqrz6sFl6sxc4BVtE/g==
   dependencies:
-    "@babel/types" "^7.18.6"
+    "@babel/types" "^7.22.5"
 
 "@babel/helper-string-parser@^7.19.4":
   version "7.19.4"
   resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.19.4.tgz#38d3acb654b4701a9b77fb0615a96f775c3a9e63"
   integrity sha512-nHtDoQcuqFmwYNYPz3Rah5ph2p8PFeFCsZk9A/48dPc/rGocJ5J3hAAZ7pb76VWX3fZKu+uEr/FhH5jLx7umrw==
 
+"@babel/helper-string-parser@^7.22.5":
+  version "7.22.5"
+  resolved "https://registry.yarnpkg.com/@babel/helper-string-parser/-/helper-string-parser-7.22.5.tgz#533f36457a25814cf1df6488523ad547d784a99f"
+  integrity sha512-mM4COjgZox8U+JcXQwPijIZLElkgEpO5rsERVDJTc2qfCDfERyob6k5WegS14SX18IIjv+XD+GrqNumY5JRCDw==
+
 "@babel/helper-validator-identifier@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.16.7.tgz#e8c602438c4a8195751243da9031d1607d247cad"
   integrity sha512-hsEnFemeiW4D08A5gUAZxLBTXpZ39P+a+DGDsHw1yxqyQ/jzFEnxf5uTEGp+3bzAbNOxU1paTgYS4ECU/IgfDw==
 
-"@babel/helper-validator-identifier@^7.18.6", "@babel/helper-validator-identifier@^7.19.1":
+"@babel/helper-validator-identifier@^7.19.1":
   version "7.19.1"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.19.1.tgz#7eea834cf32901ffdc1a7ee555e2f9c27e249ca2"
   integrity sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w==
 
+"@babel/helper-validator-identifier@^7.22.20":
+  version "7.22.20"
+  resolved "https://registry.yarnpkg.com/@babel/helper-validator-identifier/-/helper-validator-identifier-7.22.20.tgz#c4ae002c61d2879e724581d96665583dbc1dc0e0"
+  integrity sha512-Y4OZ+ytlatR8AI+8KZfKuL5urKp7qey08ha31L8b3BwewJAoJamTzyvxPR/5D+KkdJCGPq/+8TukHBlY10FX9A==
+
 "@babel/helper-validator-option@^7.16.7":
   version "7.16.7"
   resolved "https://registry.yarnpkg.com/@babel/helper-validator-option/-/helper-validator-option-7.16.7.tgz#b203ce62ce5fe153899b617c08957de860de4d23"
@@ -392,16 +403,16 @@
     chalk "^2.0.0"
     js-tokens "^4.0.0"
 
-"@babel/highlight@^7.18.6":
-  version "7.18.6"
-  resolved "https://registry.yarnpkg.com/@babel/highlight/-/highlight-7.18.6.tgz#81158601e93e2563795adcbfbdf5d64be3f2ecdf"
-  integrity sha512-u7stbOuYjaPezCuLj29hNW1v64M2Md2qupEKP1fHc7WdOA3DgLh37suiSrZYY7haUB7iBeQZ9P1uiRF359do3g==
+"@babel/highlight@^7.22.13":
+  version "7.22.20"
+  resolved "https://registry.yarnpkg.com/@babel/highlight/-/highlight-7.22.20.tgz#4ca92b71d80554b01427815e06f2df965b9c1f54"
+  integrity sha512-dkdMCN3py0+ksCgYmGG8jKeGA/8Tk+gJwSYYlFGxG5lmhfKNoAy004YpLxpS1W2J8m/EK2Ew+yOs9pVRwO89mg==
   dependencies:
-    "@babel/helper-validator-identifier" "^7.18.6"
-    chalk "^2.0.0"
+    "@babel/helper-validator-identifier" "^7.22.20"
+    chalk "^2.4.2"
     js-tokens "^4.0.0"
 
-"@babel/parser@^7.1.0", "@babel/parser@^7.14.7", "@babel/parser@^7.16.10", "@babel/parser@^7.16.12", "@babel/parser@^7.16.7":
+"@babel/parser@^7.1.0", "@babel/parser@^7.14.7", "@babel/parser@^7.16.12", "@babel/parser@^7.16.7":
   version "7.16.12"
   resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.16.12.tgz#9474794f9a650cf5e2f892444227f98e28cdf8b6"
   integrity sha512-VfaV15po8RiZssrkPweyvbGVSe4x2y+aciFCgn0n0/SJMR22cwofRV1mtnJQYcSB1wUTaA/X1LnA3es66MCO5A==
@@ -411,10 +422,10 @@
   resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.17.3.tgz#b07702b982990bf6fdc1da5049a23fece4c5c3d0"
   integrity sha512-7yJPvPV+ESz2IUTPbOL+YkIGyCqOyNIzdguKQuJGnH7bg1WTIifuM21YqokFt/THWh1AkCRn9IgoykTRCBVpzA==
 
-"@babel/parser@^7.20.7", "@babel/parser@^7.21.4":
-  version "7.21.4"
-  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.21.4.tgz#94003fdfc520bbe2875d4ae557b43ddb6d880f17"
-  integrity sha512-alVJj7k7zIxqBZ7BTRhz0IqJFxW1VJbm6N8JbcYhQ186df9ZBPbZBmWSqAMXwHGsCJdYks7z/voa3ibiS5bCIw==
+"@babel/parser@^7.22.15", "@babel/parser@^7.23.0":
+  version "7.23.0"
+  resolved "https://registry.yarnpkg.com/@babel/parser/-/parser-7.23.0.tgz#da950e622420bf96ca0d0f2909cdddac3acd8719"
+  integrity sha512-vvPKKdMemU85V9WE/l5wZEmImpCtLqbnTvqDS2U1fJ96KrxoW7KrXhNsNCblQlg8Ck4b85yxdTyelsMUgFUXiw==
 
 "@babel/parser@^7.9.4":
   version "7.19.0"
@@ -1176,60 +1187,28 @@
     "@babel/parser" "^7.16.7"
     "@babel/types" "^7.16.7"
 
-"@babel/template@^7.20.7":
-  version "7.20.7"
-  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.20.7.tgz#a15090c2839a83b02aa996c0b4994005841fd5a8"
-  integrity sha512-8SegXApWe6VoNw0r9JHpSteLKTpTiLZ4rMlGIm9JQ18KiCtyQiAMEazujAHrUS5flrcqYZa75ukev3P6QmUwUw==
-  dependencies:
-    "@babel/code-frame" "^7.18.6"
-    "@babel/parser" "^7.20.7"
-    "@babel/types" "^7.20.7"
-
-"@babel/traverse@^7.13.0", "@babel/traverse@^7.16.10", "@babel/traverse@^7.16.7", "@babel/traverse@^7.16.8", "@babel/traverse@^7.7.2":
-  version "7.16.10"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.16.10.tgz#448f940defbe95b5a8029975b051f75993e8239f"
-  integrity sha512-yzuaYXoRJBGMlBhsMJoUW7G1UmSb/eXr/JHYM/MsOJgavJibLwASijW7oXBdw3NQ6T0bW7Ty5P/VarOs9cHmqw==
-  dependencies:
-    "@babel/code-frame" "^7.16.7"
-    "@babel/generator" "^7.16.8"
-    "@babel/helper-environment-visitor" "^7.16.7"
-    "@babel/helper-function-name" "^7.16.7"
-    "@babel/helper-hoist-variables" "^7.16.7"
-    "@babel/helper-split-export-declaration" "^7.16.7"
-    "@babel/parser" "^7.16.10"
-    "@babel/types" "^7.16.8"
-    debug "^4.1.0"
-    globals "^11.1.0"
-
-"@babel/traverse@^7.17.0", "@babel/traverse@^7.17.3":
-  version "7.17.3"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.17.3.tgz#0ae0f15b27d9a92ba1f2263358ea7c4e7db47b57"
-  integrity sha512-5irClVky7TxRWIRtxlh2WPUUOLhcPN06AGgaQSB8AEwuyEBgJVuJ5imdHm5zxk8w0QS5T+tDfnDxAlhWjpb7cw==
-  dependencies:
-    "@babel/code-frame" "^7.16.7"
-    "@babel/generator" "^7.17.3"
-    "@babel/helper-environment-visitor" "^7.16.7"
-    "@babel/helper-function-name" "^7.16.7"
-    "@babel/helper-hoist-variables" "^7.16.7"
-    "@babel/helper-split-export-declaration" "^7.16.7"
-    "@babel/parser" "^7.17.3"
-    "@babel/types" "^7.17.0"
-    debug "^4.1.0"
-    globals "^11.1.0"
-
-"@babel/traverse@^7.4.5":
-  version "7.21.4"
-  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.21.4.tgz#a836aca7b116634e97a6ed99976236b3282c9d36"
-  integrity sha512-eyKrRHKdyZxqDm+fV1iqL9UAHMoIg0nDaGqfIOd8rKH17m5snv7Gn4qgjBoFfLz9APvjFU/ICT00NVCv1Epp8Q==
-  dependencies:
-    "@babel/code-frame" "^7.21.4"
-    "@babel/generator" "^7.21.4"
-    "@babel/helper-environment-visitor" "^7.18.9"
-    "@babel/helper-function-name" "^7.21.0"
-    "@babel/helper-hoist-variables" "^7.18.6"
-    "@babel/helper-split-export-declaration" "^7.18.6"
-    "@babel/parser" "^7.21.4"
-    "@babel/types" "^7.21.4"
+"@babel/template@^7.22.15":
+  version "7.22.15"
+  resolved "https://registry.yarnpkg.com/@babel/template/-/template-7.22.15.tgz#09576efc3830f0430f4548ef971dde1350ef2f38"
+  integrity sha512-QPErUVm4uyJa60rkI73qneDacvdvzxshT3kksGqlGWYdOTIUOwJ7RDUL8sGqslY1uXWSL6xMFKEXDS3ox2uF0w==
+  dependencies:
+    "@babel/code-frame" "^7.22.13"
+    "@babel/parser" "^7.22.15"
+    "@babel/types" "^7.22.15"
+
+"@babel/traverse@^7.13.0", "@babel/traverse@^7.16.10", "@babel/traverse@^7.16.7", "@babel/traverse@^7.16.8", "@babel/traverse@^7.17.0", "@babel/traverse@^7.17.3", "@babel/traverse@^7.4.5", "@babel/traverse@^7.7.2":
+  version "7.23.2"
+  resolved "https://registry.yarnpkg.com/@babel/traverse/-/traverse-7.23.2.tgz#329c7a06735e144a506bdb2cad0268b7f46f4ad8"
+  integrity sha512-azpe59SQ48qG6nu2CzcMLbxUudtN+dOM9kDbUqGq3HXUJRlo7i8fvPoxQUzYgLZ4cMVmuZgm8vvBpNeRhd6XSw==
+  dependencies:
+    "@babel/code-frame" "^7.22.13"
+    "@babel/generator" "^7.23.0"
+    "@babel/helper-environment-visitor" "^7.22.20"
+    "@babel/helper-function-name" "^7.23.0"
+    "@babel/helper-hoist-variables" "^7.22.5"
+    "@babel/helper-split-export-declaration" "^7.22.6"
+    "@babel/parser" "^7.23.0"
+    "@babel/types" "^7.23.0"
     debug "^4.1.0"
     globals "^11.1.0"
 
@@ -1249,7 +1228,7 @@
     "@babel/helper-validator-identifier" "^7.16.7"
     to-fast-properties "^2.0.0"
 
-"@babel/types@^7.18.6", "@babel/types@^7.20.7", "@babel/types@^7.21.0", "@babel/types@^7.21.4":
+"@babel/types@^7.18.6", "@babel/types@^7.21.4":
   version "7.21.4"
   resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.21.4.tgz#2d5d6bb7908699b3b416409ffd3b5daa25b030d4"
   integrity sha512-rU2oY501qDxE8Pyo7i/Orqma4ziCOrby0/9mvbDUGEfvZjb279Nk9k19e2fiCxHbRRpY2ZyrgW1eq22mvmOIzA==
@@ -1258,6 +1237,15 @@
     "@babel/helper-validator-identifier" "^7.19.1"
     to-fast-properties "^2.0.0"
 
+"@babel/types@^7.22.15", "@babel/types@^7.22.5", "@babel/types@^7.23.0":
+  version "7.23.0"
+  resolved "https://registry.yarnpkg.com/@babel/types/-/types-7.23.0.tgz#8c1f020c9df0e737e4e247c0619f58c68458aaeb"
+  integrity sha512-0oIyUfKoI3mSqMvsxBdclDwxXKXAUA8v/apZbc+iSyARYou1o8ZGDxbUYyLFoW2arqS2jDGqJuZvv1d/io1axg==
+  dependencies:
+    "@babel/helper-string-parser" "^7.22.5"
+    "@babel/helper-validator-identifier" "^7.22.20"
+    to-fast-properties "^2.0.0"
+
 "@base2/pretty-print-object@1.0.1":
   version "1.0.1"
   resolved "https://registry.yarnpkg.com/@base2/pretty-print-object/-/pretty-print-object-1.0.1.tgz#371ba8be66d556812dc7fb169ebc3c08378f69d4"
@@ -3773,7 +3761,7 @@ chalk@4.1.1:
     ansi-styles "^4.1.0"
     supports-color "^7.1.0"
 
-chalk@^2.0.0, chalk@^2.4.1:
+chalk@^2.0.0, chalk@^2.4.1, chalk@^2.4.2:
   version "2.4.2"
   resolved "https://registry.yarnpkg.com/chalk/-/chalk-2.4.2.tgz#cd42541677a54333cf541a49108c1432b44c9424"
   integrity sha512-Mti+f9lpJNcwF4tWV8/OrTTtF1gZi+f8FqlyAdouralcFWFQWF2+NgCHShjkCb+IFBLq9buZwE1xckQU4peSuQ==
@@ -6473,9 +6461,9 @@ invariant@^2.2.4:
     loose-envify "^1.0.0"
 
 ip@^1.1.0:
-  version "1.1.5"
-  resolved "https://registry.yarnpkg.com/ip/-/ip-1.1.5.tgz#bdded70114290828c0a039e72ef25f5aaec4354a"
-  integrity sha1-vd7XARQpCCjAoDnnLvJfWq7ENUo=
+  version "1.1.9"
+  resolved "https://registry.yarnpkg.com/ip/-/ip-1.1.9.tgz#8dfbcc99a754d07f425310b86a99546b1151e396"
+  integrity sha512-cyRxvOEpNHNtchU3Ln9KC/auJgup87llfQpQ+t5ghoC/UhL16SWzbueiCsdTnWmqAWl7LadfuwhlqmtOaqMHdQ==
 
 ipaddr.js@1.9.1:
   version "1.9.1"
@@ -11721,9 +11709,9 @@ yocto-queue@^0.1.0:
   integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==
 
 zod@^3.11.6:
-  version "3.19.1"
-  resolved "https://registry.yarnpkg.com/zod/-/zod-3.19.1.tgz#112f074a97b50bfc4772d4ad1576814bd8ac4473"
-  integrity sha512-LYjZsEDhCdYET9ikFu6dVPGp2YH9DegXjdJToSzD9rO6fy4qiRYFoyEYwps88OseJlPyl2NOe2iJuhEhL7IpEA==
+  version "3.22.3"
+  resolved "https://registry.yarnpkg.com/zod/-/zod-3.22.3.tgz#2fbc96118b174290d94e8896371c95629e87a060"
+  integrity sha512-EjIevzuJRiRPbVH4mGc8nApb/lVLKVpmUhAaR5R5doKGfAnGJ6Gr3CViAVjP+4FWSxCsybeWQdcgCtbX+7oZug==
 
 zwitch@^1.0.0:
   version "1.0.5"