Roadmap

The list below contains the functionality that contributors are planning to develop for Feast.

• We welcome contribution to all items in the roadmap!

• Have questions about the roadmap? Go to the Slack channel to ask on #feast-development.

• Data Sources

  • Snowflake source

  • Redshift source

  • BigQuery source

  • Parquet file source

  • Synapse source (community plugin)

  • Hive (community plugin)

  • Postgres (contrib plugin)

  • Spark (contrib plugin)

  • Kafka / Kinesis sources (via push support into the online store)

• Offline Stores

  • Snowflake

  • Redshift

  • BigQuery

  • Synapse (community plugin)

  • Hive (community plugin)

  • Postgres (contrib plugin)

  • Trino (contrib plugin)

  • Spark (contrib plugin)

  • In-memory / Pandas

  • Custom offline store support

• Online Stores

  • Snowflake

  • DynamoDB

  • Redis

  • Datastore

  • SQLite

  • Azure Cache for Redis (community plugin)

  • Postgres (contrib plugin)

  • Custom online store support

  • Cassandra / AstraDB

  • Bigtable (in progress)

• Feature Engineering

  • On-demand Transformations (Alpha release. See RFC)

  • Streaming Transformations (Alpha release. See RFC)

  • Batch transformation (In progress. See RFC)

• Streaming

  • Custom streaming ingestion job support

  • Push based streaming data ingestion to online store (Alpha)

  • Push based streaming data ingestion to offline store (Alpha)

• Deployments

  • AWS Lambda (Alpha release. See RFC)

  • Kubernetes (See guide)

• Feature Serving

  • Python Client

  • Python feature server

  • Go feature server

• Data Quality Management (See RFC)

  • Data profiling and validation (Great Expectations)

• Feature Discovery and Governance

  • Python SDK for browsing feature registry

  • CLI for browsing feature registry

  • Model-centric feature tracking (feature services)

  • Amundsen integration (see Feast extractor)

  • DataHub integration (see DataHub Feast docs)

  • Feast Web UI (Alpha release. See docs)