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Databricks Feature Store

Data service

by Databricks

Databricks Feature Store provides a governed layer for building, sharing, and serving machine learning features.

Find alternatives to Databricks Feature Store

What it does

• Model training

Features 5

• Feature ViewsDefine features once for batch and stream, with managed pipelines that keep training and online values consistent.
• Online Feature StoreServes features to production applications and model endpoints with low latency at high scale.
• Feature Engineering SDKSupports notebook experimentation and point-in-time accurate training data computation.
• Unity Catalog governance and sharingTreats features as governed, reusable assets that can be tagged, shared and reused with lineage tracking.
• Real-time feature freshnessFeature Views orchestrate Spark Real-Time Mode pipelines to materialize streaming features.

Sources

Pricing

Official documentation · 14 Oct 2026

"you pay for the underlying serverless compute"

Description

Official documentation · 14 Oct 2026

"building, sharing, and serving ML features"

What it does

Official documentation · 14 Oct 2026

"serving feature data to online applications"

Sold within

Official documentation · 14 Oct 2026

"built into the wider platform"

Name

Official documentation · 14 Oct 2026

"Databricks Feature Store connects your data"

URL

Official documentation · 14 Oct 2026

"Databricks Feature Store connects your data"

Deployment

Official documentation · 14 Oct 2026

"you provision a highly available managed infrastructure for real-time feature serving"

Interfaces

Official documentation · 18 Oct 2026

Page: 'Use the Feature Engineering SDK for rapid notebook experimentation and point-in-time accurate training data computation'.

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