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What is Timbr?

Timbr is a SQL-native semantic layer platform that connects data, meaning, and context across the enterprise.

It transforms data warehouses and lakes into an ontology-based knowledge graph that lets business users, analysts, and AI systems query data naturally and accurately without requiring joins or complex SQL.

Built entirely in SQL, Timbr provides a unified semantic model that virtualizes data across multiple sources, enabling users to ask questions in natural language or Semantic SQL and get governed, high-quality results directly from their data. The platform integrates with BI and AI tools such as Power BI, Tableau, Databricks, and Snowflake.

Timbr’s ontology-based approach ensures consistent business logic, shortens query time by up to 90%, and improves collaboration between data engineers and analysts. By representing business concepts and relationships natively in SQL, Timbr aims to make data easier to understand, reuse, and govern—unlocking the value of enterprise data for analytics, reporting, and AI applications.

Media

Screenshot of an interactive visualization of Timbr’s semantic knowledge graph that connects data across sources, providing a clear view of enterprise-wide relationships.
Screenshot of the Ontology Explorer in Timbr shows how business concepts, properties, and relationships are modeled as a unified semantic knowledge graph directly in SQL.
Screenshot of Timbr’s Graph Explorer, which enables users to visually navigate relationships between entities, simplifying complex data discovery and analysis without writing joins.
Screenshot of a side-by-side comparison showing how Timbr simplifies complex SQL queries into concise semantic SQL using relationships instead of joins, reducing query length by up to 90%.

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Screenshot of an interactive visualization of Timbr’s semantic knowledge graph that connects data across sources, providing a clear view of enterprise-wide relationships.