Unity Catalog

Unity Catalog is a Databricks data governance capability, introduced 2022.

Hive metastore → Unity Catalog

The unified governance layer for data and AI across Databricks - a three-level namespace (catalog.schema.object) with centralized access control, lineage, and auditing.

• Its three-level namespace - catalog.schema.object - governs tables, models, functions, and files under one permission model, and it's the backbone nearly every modern Databricks feature now hangs off. 🔗
• Announced at the Data and AI Summit 2021, it later reached general availability on AWS and Azure - bringing fine-grained auditing, data lineage down to the column and row level, and row- and column-level security through dynamic views. 🔗

⚠ Limitations: Doesn't support bucketing, prohibits cross-type table cloning (managed-to-managed and external-to-external only), disallows workspace-level groups in GRANT statements, and imposes Databricks Runtime version requirements for Python UDFs, Scala UDFs, and R in dynamic views used for row- or column-level security. 🔗

Category

Data governance

Introduced

2022🔗

Also known as

UC, Unity

Verified

2026-07-23