Databricks’ new tools signal a shift from AI demos to production-scale deployment - anchoring agentic AI in governance, observability, and enterprise control.

Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, MLflow, and Unity Catalog.

To make trusted data truly usable for business users, Databricks is introducing new Unity Catalog capabilities that blend intuitive discovery with built-in intelligence.

Built on open standards, Unity Catalog is designed to work across every table format and engine. Databricks is now taking that vision further with the Public Preview of full Apache Iceberg support ...

Unity Catalog Now Eliminates the Need to Choose Between Formats Built on open standards, Unity Catalog is designed to work across every table format and engine. Databricks is now taking that ...

Now, Unity Catalog is the only catalog that enables external engines to read and write, with fine-grained governance, to performance-optimized, Iceberg managed tables, eliminating lock-in and enabling ...

The no-code ETL tool works by combining a generative AI assistant for pipeline creation and Unity Catalog for governance.

"Unity Catalog is the foundation for data intelligence, and we are thrilled to name Blueprint the 2025 Databricks Unity Catalog Partner of the Year," said Jason McIntyre, VP, Partner Development ...

Databricks: Unity Catalog as the lakehouse control plane and launchpad for agentic AI If Snowflake’s core innovation was separating compute from storage, Databricks’ contribution was to ...

Executives were eager to see how these interfaces could be connected to Virgin's existing data sources – and that's where Databricks, particularly the Unity Catalog, plays a crucial role: When there's ...