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​
​Azure Synapse + Azure SQL source (contrib 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​
​Azure Synapse + Azure SQL (contrib 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​
​Bigtable​
​SQLite​
​Azure Cache for Redis (community plugin)​
​Postgres (contrib plugin)​
​Cassandra / AstraDB (contrib plugin)​
​Custom online store support​
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​
​Push based streaming data ingestion to offline store​
Deployments
AWS Lambda (Alpha release. See RFC)
Kubernetes (See guide)
Feature Serving
Python Client
​Python feature server​
​Java feature server (alpha)​
​Go feature server (alpha)​
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 (Beta release. See docs)
Last modified 4d ago