The list below contains the functionality that contributors are planning to develop for Feast
- Items below that are in development (or planned for development) will be indicated in parentheses.
- We welcome contribution to all items in the roadmap!
- Want to influence our roadmap and prioritization? Submit your feedback to this form.
- Want to speak to a Feast contributor? We are more than happy to jump on a call. Please schedule a time using Calendly.
- Data Sources
- Redshift source
- BigQuery source
- Parquet file source
- Synapse source (community plugin)
- Hive (community plugin)
- Postgres (community plugin)
- Kafka source (with push support into the online store)
- Snowflake source (Planned for Q4 2021)
- HTTP source
- Offline Stores
- Redshift
- BigQuery
- Synapse (community plugin)
- Hive (community plugin)
- Postgres (community plugin)
- In-memory / Pandas
- Custom offline store support
- Snowflake (Planned for Q4 2021)
- Trino (Planned for Q4 2021)
- Online Stores
- Streaming
- Custom streaming ingestion job support
- Push based streaming data ingestion
- Streaming ingestion on AWS
- Streaming ingestion on GCP
- Feature Engineering
- On-demand Transformations (Alpha release. See RFC)
- Batch transformation (SQL)
- Streaming transformation
- Deployments
- AWS Lambda (Alpha release. See RFC)
- Cloud Run
- Kubernetes
- KNative
- Feature Serving
- Data Quality Management
- Data profiling and validation (Great Expectations) (Planned for Q4 2021)
- Metric production
- Training-serving skew detection
- Drift detection
- Alerting
- 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