Roadmap

The list below contains the functionality that contributors are planning to develop for Feast.
We welcome contribution to all items in the roadmap!
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​
​Dragonfly​
​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 10d ago