The list below contains the functionality that contributors are planning to develop for Feast
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Items below that are in development (or planned for development) will be indicated in parentheses.
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We welcome contribution to all items in the roadmap!
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Want to influence our roadmap and prioritization? Submit your feedback to this form.
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Want to speak to a Feast contributor? We are more than happy to jump on a call. Please schedule a time using Calendly.
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Data Sources
- Redshift source
- BigQuery source
- Parquet file source
- Kafka source (Planned for Q4 2021)
- Synapse source (Planned for Q4 2021)
- Snowflake source (Planned for Q4 2021)
- HTTP source
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Offline Stores
- Redshift
- BigQuery
- In-memory / Pandas
- Custom offline store support
- Hive (community maintained)
- Postgres (community maintained)
- Snowflake (Planned for Q4 2021)
- Synapse (Planned for Q4 2021)\
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Online Stores
- DynamoDB
- Redis
- Datastore
- SQLite
- Custom online store support
- Postgres (community maintained)
- Bigtable
- Cassandra\
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Streaming
- Custom streaming ingestion job support
- Streaming ingestion on AWS (Planned for Q4 2021)
- Streaming ingestion on GCP\
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Feature Engineering
- On-demand Transformations (Alpha release. See RFC)
- Batch transformation (SQL)
- Streaming transformation\
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Deployments
- AWS Lambda (Alpha release. See RFC)
- Cloud Run
- Kubernetes
- KNative\
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Feature Serving
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Data Quality Management
- Data profiling and validation (Great Expectations) (Planned for Q4 2021)
- Metric production
- Training-serving skew detection
- Drift detection
- Alerting\
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Feature Discovery and Governance
- Python SDK for browsing feature registry
- CLI for browsing feature registry
- Model-centric feature tracking (feature services)
- REST API for browsing feature registry
- Feast Web UI (Planned for Q4 2021)
- Feature versioning
- Amundsen integration