Tech riderRev. 30 Sept 2026

Databricks Feature Store

Ch 086.8of 17 Feature Store Software
  1. 1Runs onAPI, Web
  2. 2Costsfree trial
  3. 3Online storeYes
  4. 4Offline storeYes
  5. 5Point-in-time joinsYes
  6. 6Feature monitoringYes
  7. 7Deployment modelcloud
  8. 8Serving modesboth
8 lines stated Written from the maker's own pages: docs.databricks.com, databricks.com
The Databricks Feature Store homepage

Overview

Databricks Feature Store is ranked #8 of 17 in feature store software on Specifiction. It runs on API, Web. A free trial is offered.

Databricks Feature Store plans and pricing

All plans
Pay as you go Not published Monthly based on usage; per-second granularity. No up-front costs · Pay for products used · Rates vary by product, cloud provider, and region databricks.com · 30 Sept 2026

Compared on feature store software

Online store
Yesdocs.databricks.com
Offline store
Yesdocs.databricks.com
Point-in-time joins
Yesdocs.databricks.com
Feature monitoring
Yesdocs.databricks.com
Deployment model
clouddocs.databricks.com
Serving modes
bothdocs.databricks.com

Facts

Purpose
Databricks Feature Store is a central registry for the features used in AI and ML models.docs.databricks.com · 30 Sept 2026
Governance and discovery
Registering features and models in Unity Catalog provides governance, lineage, point-in-time joins, and cross-workspace feature sharing and discovery.docs.databricks.com · 30 Sept 2026
Feature authoring
Features can be authored as declarative Feature Views managed through Databricks pipelines or as feature tables populated by writing values to Delta tables.docs.databricks.com · 30 Sept 2026
Feature Views status
Feature Views and their feature materialization capability are in Public Preview.docs.databricks.com · 30 Sept 2026
Model training and inference
Models trained with Feature Store features automatically track feature lineage and look up the latest feature values at inference time.docs.databricks.com · 30 Sept 2026
Training and serving consistency
Databricks says using the same feature computations at inference as during training eliminates training/serving skew.docs.databricks.com · 30 Sept 2026
Real-time serving
Feature serving endpoints and online stores support serving features for real-time applications, with the main overview describing endpoints as providing millisecond latency.docs.databricks.com · 30 Sept 2026
Integrations
Supported third-party online stores include Amazon DynamoDB, Amazon Aurora (MySQL-compatible), and Amazon RDS MySQL, with availability differing by Feature Store mode.docs.databricks.com · 30 Sept 2026
Python client
The Feature Engineering Python client is distributed as databricks-feature-engineering on PyPI and is pre-installed in Databricks Runtime 13.3 LTS ML and above.docs.databricks.com · 30 Sept 2026
Client limitation
Feature Engineering and Feature Store APIs cannot be called from local or other non-Databricks environments, although local IDE development and unit testing are supported.docs.databricks.com · 30 Sept 2026
Workspace requirement
The current Databricks Feature Store requires a workspace enabled for Unity Catalog.docs.databricks.com · 30 Sept 2026
Security and access
Access to Unity Catalog feature tables is managed through Unity Catalog access controls.docs.databricks.com · 30 Sept 2026
Pricing model
Feature Store is billed at cost for underlying serverless compute, online store, and serving infrastructure, with no premium on top.docs.databricks.com · 30 Sept 2026
Pricing components
Materialization uses serverless compute, feature serving endpoints use the Model Serving SKU, and online stores use Lakebase compute priced by capacity units and replicas.docs.databricks.com · 30 Sept 2026

Company

Headquarters
San Francisco, California, United Statesdocs.databricks.com · 28 Sept 2026

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Where it ranks on Specifiction

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Sources