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      • Overview
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      • Role-Based Access Control (RBAC)
    • Concepts
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      • Driver ranking
      • Fraud detection on GCP
      • Real-time credit scoring on AWS
      • Driver stats on Snowflake
    • Validating historical features with Great Expectations
    • Building streaming features
    • Retrieval Augmented Generation (RAG) with Feast
  • How-to Guides
    • Running Feast with Snowflake/GCP/AWS
      • Install Feast
      • Create a feature repository
      • Deploy a feature store
      • Build a training dataset
      • Load data into the online store
      • Read features from the online store
      • Scaling Feast
      • Structuring Feature Repos
    • Running Feast in production (e.g. on Kubernetes)
    • Customizing Feast
      • Adding a custom batch materialization engine
      • Adding a new offline store
      • Adding a new online store
      • Adding a custom provider
    • Adding or reusing tests
    • Starting Feast servers in TLS(SSL) Mode
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    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • Offline Feature Server
      • Registry server
    • [Beta] Web UI
    • [Beta] On demand feature view
    • [Alpha] Vector Database
    • [Alpha] Data quality monitoring
    • [Alpha] Streaming feature computation with Denormalized
    • Feast CLI reference
    • Python API reference
    • Usage
  • Project
    • Contribution process
    • Development guide
    • Backwards Compatibility Policy
      • Maintainer Docs
    • Versioning policy
    • Release process
    • Feast 0.9 vs Feast 0.10+
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Roadmap

PreviousCommunity & getting helpNextQuickstart

Last updated 1 month ago

Was this helpful?

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

  • Data Sources

  • Offline Stores

  • Online Stores

  • Feature Engineering

  • Streaming

  • Deployments

  • Feature Serving

  • Data Quality Management (See )

  • Feature Discovery and Governance

RFC
Enhanced Feature Server and SDK for native support for NLP
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)
push support into the online store
Snowflake
Redshift
BigQuery
Azure Synapse + Azure SQL (contrib plugin)
Hive (community plugin)
Postgres (contrib plugin)
Trino (contrib plugin)
Spark (contrib plugin)
Couchbase (contrib plugin)
In-memory / Pandas
Custom offline store support
Snowflake
DynamoDB
Redis
Datastore
Bigtable
SQLite
Dragonfly
IKV - Inlined Key Value Store
Azure Cache for Redis (community plugin)
Postgres (contrib plugin)
Cassandra / AstraDB (contrib plugin)
ScyllaDB (contrib plugin)
Couchbase (contrib plugin)
Custom online store support
RFC
RFC
RFC
GitHub Issue
Custom streaming ingestion job support
Push based streaming data ingestion to online store
Push based streaming data ingestion to offline store
RFC
guide
Python feature server
Feast Operator (alpha)
Java feature server (alpha)
Go feature server (alpha)
Offline Feature Server (alpha)
Registry server (alpha)
RFC
Feast extractor
DataHub Feast docs
docs