LogoLogo
v0.45-branch
masterv0.11-branchv0.12-branchv0.13-branchv0.14-branchv0.15-branchv0.16-branchv0.17-branchv0.18-branchv0.19-branchv0.20-branchv0.21-branchv0.22-branchv0.23-branchv0.24-branchv0.25-branchv0.26-branchv0.27-branchv0.28-branchv0.29-branchv0.30-branchv0.31-branchv0.34-branchv0.35-branchv0.36-branchv0.37-branchv0.38-branchv0.39-branchv0.40-branchv0.41-branchv0.42-branchv0.43-branchv0.45-branchv0.45-branchv0.46
v0.45-branch
masterv0.11-branchv0.12-branchv0.13-branchv0.14-branchv0.15-branchv0.16-branchv0.17-branchv0.18-branchv0.19-branchv0.20-branchv0.21-branchv0.22-branchv0.23-branchv0.24-branchv0.25-branchv0.26-branchv0.27-branchv0.28-branchv0.29-branchv0.30-branchv0.31-branchv0.34-branchv0.35-branchv0.36-branchv0.37-branchv0.38-branchv0.39-branchv0.40-branchv0.41-branchv0.42-branchv0.43-branchv0.45-branchv0.45-branchv0.46
  • Introduction
  • Community & getting help
  • Roadmap
  • Changelog
  • Getting started
    • Quickstart
    • Architecture
      • Overview
      • Language
      • Push vs Pull Model
      • Write Patterns
      • Feature Transformation
      • Feature Serving and Model Inference
      • Role-Based Access Control (RBAC)
    • Concepts
      • Overview
      • Project
      • Data ingestion
      • Entity
      • Feature view
      • Feature retrieval
      • Point-in-time joins
      • [Alpha] Saved dataset
      • Permission
      • Tags
    • Components
      • Overview
      • Registry
      • Offline store
      • Online store
      • Feature server
      • Batch Materialization Engine
      • Provider
      • Authorization Manager
    • 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
    • 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)
    • 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
  • 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
      • Dask
      • Snowflake
      • BigQuery
      • Redshift
      • DuckDB
      • Spark (contrib)
      • PostgreSQL (contrib)
      • Trino (contrib)
      • Azure Synapse + Azure SQL (contrib)
      • Remote Offline
    • Online stores
      • Overview
      • SQLite
      • Snowflake
      • Redis
      • Dragonfly
      • IKV
      • Datastore
      • DynamoDB
      • Bigtable
      • Remote
      • PostgreSQL
      • Cassandra + Astra DB
      • Couchbase
      • MySQL
      • Hazelcast
      • ScyllaDB
      • SingleStore
      • Milvus
    • Registries
      • Local
      • S3
      • GCS
      • SQL
      • Snowflake
    • Providers
      • Local
      • Google Cloud Platform
      • Amazon Web Services
      • Azure
    • Batch Materialization Engines
      • Snowflake
      • AWS Lambda (alpha)
      • Spark (contrib)
    • Feature repository
      • feature_store.yaml
      • .feastignore
    • Feature servers
      • Python feature server
      • [Alpha] Go feature server
      • Offline Feature 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+
Powered by GitBook
On this page

Was this helpful?

Edit on GitHub
Export as PDF
  1. Reference

Online stores

PreviousRemote OfflineNextOverview

Last updated 23 days ago

Was this helpful?

Please see Online Store for an explanation of online stores.

Overview
SQLite
Snowflake
Redis
Dragonfly
IKV
Datastore
DynamoDB
Bigtable
PostgreSQL
Cassandra + Astra DB
Couchbase
MySQL
Hazelcast
ScyllaDB
Remote
SingleStore