USE CASE
Databricks Semantic Layer
Timbr extends Databricks with an ontology-based semantic layer that models business concepts, relationships, measures, and rules across Databricks and the broader business ecosystem. Analysts, applications, and AI agents work with a shared business model instead of raw schemas. Databricks workflows stay connected to governed business meaning throughout.
REFERENCE ARCHITECTURE
Timbr embeds as an ontology-based semantic layer within the Databricks Lakehouse, mapping business concepts, relationships, and measures to Delta Tables without moving data.
BEHIND THE USE CASE
Timbr integrates with Databricks to create a governed semantic model that analysts, applications, and AI agents can query across notebooks, SQL endpoints, BI tools, and more.
TUTORIAL VIDEO
Watch how Databricks connects as a data source in Timbr, how Delta Tables map to ontology concepts, and how to explore the data as a connected business model with governed relationships and measures.
BEHIND THE USE CASE
Timbr integrates with Databricks Notebooks for fully declarative semantic model definitions, letting users manage and consume business concepts without leaving the Databricks environment.
Define Business Meaning Once, Use It Across Databricks and Beyond
- Define Once, Reuse Everywhere: Business concepts, relationships, measures, and rules defined in Timbr are available across Databricks workflows without redefining logic per tool.
- Business Rules Without ETL Changes: Update business logic in the semantic model without touching underlying pipelines or Delta Tables.
- Unity Catalog Governance: Align semantic model definitions with Unity Catalog access controls, row-level security, and permissions.
- Cross-System Consistency: Use one ontology across Databricks and other enterprise systems, so business meaning stays consistent regardless of where the data comes from.
Surface Ontology Models Inside Unity Catalog
Timbr integrates natively with Databricks, giving users direct access to ontology-based models inside notebooks and workflows. Timbr also exposes model metadata in Unity Catalog for governance alignment, and users can enable SSO from Databricks to Timbr to unify security and access controls.
Ontology concepts available in Databricks Data Explorer:
Users and AI agents can query ontology concepts directly from Databricks notebooks and workflows:
