The list below contains the functionality that contributors are planning to develop for Feast.
-
We welcome contribution to all items in the roadmap!
-
Natural Language Processing
- Vector Search (Alpha release. See RFC)
- Enhanced Feature Server and SDK for native support for NLP
-
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)
- Couchbase (contrib plugin)
- Athena (contrib plugin)
- Clickhouse (contrib plugin)
- Oracle (contrib plugin)
- Kafka / Kinesis sources (via push support into the online store)
-
Offline Stores
- Snowflake
- Redshift
- BigQuery
- DuckDB
- Dask
- Remote
- Azure Synapse + Azure SQL (contrib plugin)
- Hive (community plugin)
- Postgres (contrib plugin)
- Trino (contrib plugin)
- Spark (contrib plugin)
- Couchbase (contrib plugin)
- Athena (contrib plugin)
- Clickhouse (contrib plugin)
- Ray (contrib plugin)
- Oracle (contrib plugin)
- Hybrid
- Custom offline store support
-
Online Stores
- Snowflake
- DynamoDB
- Redis
- Dragonfly
- Datastore
- Bigtable
- SQLite
- Remote
- Postgres
- HBase
- Cassandra / AstraDB
- ScyllaDB
- MySQL
- Hazelcast
- Elasticsearch
- SingleStore
- Couchbase
- MongoDB
- Qdrant (vector store)
- Milvus (vector store)
- Faiss (vector store)
- Hybrid
- Azure Cache for Redis (community plugin)
- Custom online store support
-
Feature Engineering
- On-demand Transformations (On Read) (Beta release. See RFC)
- Streaming Transformations (Alpha release. See RFC)
- Batch transformation (In progress. See RFC)
- On-demand Transformations (On Write) (Beta release. See GitHub Issue)
-
Streaming
-
Deployments
-
Feature Serving
-
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)
- Feast Lineage Explorer