Define business meaning once for BI and AI
Create governed metrics and business definitions that stay consistent across your tools.
TOP TEAMS RELY ON UNIFIED SEMANTICS
One definition, wherever your business uses it
Define your business metrics and concepts centrally, apply existing governance, and reuse them across BI, apps, and AI.
Consistent business meaning
Define critical metrics and business concepts once, so teams work from consistent calculations and definitions. Reduce conflicting interpretations across dashboards, applications, and AI experiences.
Governed by design
Manage business definitions alongside your data in Unity Catalog. Apply existing access controls, track lineage, and establish ownership so teams know which definitions to use and who maintains them.
Reuse across tools
Bring governed semantics to the tools your teams already use through SQL, APIs, and MCP. Reduce duplicated metric logic and the work of maintaining separate definitions for each experience.
Centralize definitions with Unity Catalog Semantics
Bring centralized semantics into every decision.Define and govern business metrics, concepts, and relationships in Unity Catalog to build the modeled foundation of Genie Ontology.
Build measures, dimensions and relationships mapped to your KPIs, materialized for performance. Author with AI agents and query from SQL, MCP or BI tools.
Define authoritative concepts, terms and taxonomies that help agents and people understand your business, maintained with agentic authoring and drift detection.
Organize data and AI assets into business-aligned groups, giving agents scoped context with certification and stewardship signals for what’s reliable.
Compose semantics on your data, and governance policies apply automatically with lineage, access controls and usage insights out of the box.
Fully open source, with AI-powered migrations to help bring your existing definitions over quickly. OSI-compliant, with no lock-in.
Query your semantics from anywhere through MCP, SQL and API across your favorite BI tools, Genie and AI/BI dashboards, all with no vendor lock-in.
Unity Catalog Semantics use cases for BI and agents
Governed metrics for trusted dashboards and notebooks
Empower BI tools, such as AI/BI Dashboards or external BI tools, and exploratory data analysis with governed metrics and definitions so every chart, dashboard and notebook reflects a trusted source of truth.
Explore Unity Catalog Semantics demos
Related products: Unity Catalog, AI/BI and Genie
Explore products that extend the power of Unity Catalog Semantics across BI and AI.
Unity Catalog
The industry’s only unified and open governance solution for data and AI, built into the Databricks Data + AI Platform.
AI/BI
An AI-assisted business intelligence solution, built into the Databricks Data + AI Platform, to quickly create analytical datasets, interactive dashboards and data visualizations for your business teams.
Genie Code
Analyze, build and optimize with autonomous AI that understands your data.
Genie One
A data-smart agentic coworker for business users to ask questions, get insights and take action right in their workflows.
Genie Ontology
The enterprise context layer for all AI, combining governed and continuously learned business knowledge to deliver trusted, permission-aware understanding across Genie and connected agents.
Explore Unity Catalog Semantics docs and training
Unity Catalog Semantics FAQ
Unity Catalog Semantics is a native semantic layer in the Databricks Data + AI Platform that centralizes business definitions — such as data modeling, relationships, business metrics, dimensions, synonyms and formatting — so they can be consistently applied across BI dashboards, notebooks and AI agents. It ensures every user, whether technical or business, gets the same trusted answers.
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