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v0.21-branch
Introduction
Community
Roadmap
Changelog
Getting started
Quickstart
Concepts
Architecture
Learning by example
Third party integrations
FAQ
Tutorials
Overview
Driver ranking
Fraud detection on GCP
Real-time credit scoring on AWS
Driver stats on Snowflake
Validating historical features with Great Expectations
How-to Guides
Running Feast with Snowflake/GCP/AWS
Running Feast in production
Deploying a Java feature server on Kubernetes
Upgrading from Feast 0.9
Adding a custom provider
Adding a new online store
Adding a new offline store
Adding or reusing tests
Reference
Data sources
Offline stores
Online stores
Providers
Feature repository
Feature servers
[Alpha] Web UI
[Alpha] Data quality monitoring
[Alpha] On demand feature view
[Alpha] AWS Lambda feature server
Feast CLI reference
Python API reference
Usage
Project
Contribution process
Development guide
Versioning policy
Release process
Feast 0.9 vs Feast 0.10+
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Roadmap
The list below contains the functionality that contributors are planning to develop for Feast
Items below that are in development (or planned for development) will be indicated in parentheses.
We welcome contribution to all items in the roadmap!
Want to influence our roadmap and prioritization? Submit your feedback to
this form
.
Want to speak to a Feast contributor? We are more than happy to jump on a call. Please schedule a time using
Calendly
.
Data Sources
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Snowflake source
​
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Redshift source
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BigQuery source
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Parquet file source
​
​
Synapse source (community plugin)
​
​
Hive (community plugin)
​
​
Postgres (contrib plugin)
​
​
Spark (contrib plugin)
​
Kafka / Kinesis sources (via
push support into the online store
)
HTTP source
Offline Stores
​
Snowflake
​
​
Redshift
​
​
BigQuery
​
​
Synapse (community plugin)
​
​
Hive (community plugin)
​
​
Postgres (contrib plugin)
​
​
Trino (contrib plugin)
​
​
Spark (contrib plugin)
​
​
In-memory / Pandas
​
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Custom offline store support
​
Online Stores
​
DynamoDB
​
​
Redis
​
​
Datastore
​
​
SQLite
​
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Azure Cache for Redis (community plugin)
​
​
Postgres (contrib plugin)
​
​
Custom online store support
​
Bigtable (in progress)
Cassandra
Streaming
​
Custom streaming ingestion job support
​
​
Push based streaming data ingestion
​
Streaming ingestion on AWS
Streaming ingestion on GCP
Feature Engineering
On-demand Transformations (Alpha release. See
RFC
)
Batch transformation (In progress. See
RFC
)
Streaming transformation
Deployments
AWS Lambda (Alpha release. See
RFC
)
Kubernetes (See
guide
)
Cloud Run
KNative
Feature Serving
Python Client
REST Feature Server (Python) (Alpha release. See
RFC
)
gRPC Feature Server (Java) (See
#1497
)
Push API
Java Client
Go Client
Delete API
Feature Logging (for training)
Data Quality Management (See
RFC
)
Data profiling and validation (Great Expectations)
Training-serving skew detection (in progress)
Metric production
Drift detection
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
)
Feast Web UI (Alpha release. See
documentation
)
REST API for browsing feature registry
Feature versioning
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