Databricks feature store documentation. Online mode provides features at low latency for serving ML models or for the consumption of the same features in BI applications. Jun 20, 2025 · Python API This page provides links to the Python API documentation of Databricks Feature Engineering and Databricks legacy Workspace Feature Store, and information about the client packages databricks-feature-engineering and databricks-feature-store. Deep understanding of Delta Lake features (ACID, OPTIMIZE, ZORDER, Auto Loader). Feature tables and models are registered in Unity Catalog, providing built-in governance, lineage, and cross-workspace feature sharing and discovery. The Databricks Feature Store provides a central registry for features used in your AI and ML models. LangChain provides a prebuilt agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure for you. Dec 10, 2025 · Feature store overview and glossary This page explains how the Databricks Feature Store works and defines important terms. client. Build better AI with a data-centric approach. xguhu hsup htclq wvbqph zcyzm fxwg xmvhhk sneaun gzicf vqdisxi