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  • Introduction
  • Community & getting help
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Concepts
      • Overview
      • Data ingestion
      • Entity
      • Feature view
      • Feature retrieval
      • Point-in-time joins
      • Registry
      • [Alpha] Saved dataset
    • Architecture
      • Overview
      • Registry
      • Offline store
      • Online store
      • Batch Materialization Engine
      • Provider
    • Third party integrations
    • FAQ
  • Tutorials
    • Sample use-case tutorials
      • Driver ranking
      • Fraud detection on GCP
      • Real-time credit scoring on AWS
      • Driver stats on Snowflake
    • Validating historical features with Great Expectations
    • Using Scalable Registry
    • Building streaming features
  • 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)
    • Upgrading for Feast 0.20+
    • 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
  • Reference
    • Codebase Structure
    • Type System
    • Data sources
      • Overview
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Push
      • Kafka
      • Kinesis
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
      • Azure Synapse + Azure SQL (contrib)
    • Offline stores
      • Overview
      • File
      • Snowflake
      • BigQuery
      • Redshift
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
      • Azure Synapse + Azure SQL (contrib)
    • Online stores
      • Overview
      • SQLite
      • Snowflake
      • Redis
      • Datastore
      • DynamoDB
      • Bigtable
      • PostgreSQL (contrib)
      • Cassandra + Astra DB (contrib)
      • MySQL (contrib)
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
      • Azure
    • Batch Materialization Engines
      • Bytewax
      • Snowflake
      • AWS Lambda (alpha)
      • Spark (contrib)
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • [Alpha] AWS Lambda feature server
    • [Beta] Web UI
    • [Alpha] On demand feature view
    • [Alpha] Data quality monitoring
    • 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 2 years 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!

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

  • Data Sources

  • Offline Stores

  • Online Stores

  • Feature Engineering

  • Streaming

  • Deployments

  • Feature Serving

  • Data Quality Management (See )

  • Feature Discovery and Governance

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)
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)
In-memory / Pandas
Custom offline store support
Snowflake
DynamoDB
Redis
Datastore
Bigtable
SQLite
Azure Cache for Redis (community plugin)
Postgres (contrib plugin)
Cassandra / AstraDB (contrib plugin)
Custom online store support
RFC
RFC
RFC
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
Java feature server (alpha)
Go feature server (alpha)
RFC
Feast extractor
DataHub Feast docs
docs