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Databricks

Databricks Unity Catalog

Unity Catalog is Databricks' unified governance solution for data, analytics and AI assets, including agents, AI apps, MCPs and models. It provides context-rich discovery, AI-powered governance controls, fine-grained access at scale, automated column-level lineage, and agentic quality monitoring across clouds and open formats such as Delta, Iceberg and Parquet.

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3published use cases
2industries
1countries on record
AI Model Development & MLOps
top AI capability

Evidence mix: High 3 · Medium 0 · Low 0 — bands are computed from each record's evidence signals.

Industry
Country

3 use cases

EnergyMachine LearningAI Model Development & MLOps

A Journey Towards Unified Data Governance at bp

bp implemented Databricks Unity Catalog to unify data governance across data previously spread across disparate systems, migrating over 270 Databricks workspaces from two separate data hub platforms and 15 standalone instances, serving 10,000+ users across Finance ERP, Customer and Products, Production and Operations, and Enterprise business entities. The migration, run in four phased quarters, delivered centralized governance, granular row/column-level access control, and automated column-level data lineage and audit logs. bp expects the consolidation to save nearly $1 million annually plus roughly $4,000 weekly by eliminating manual Overwatch job management, and the migration unlocked Delta Sharing, SQL Serverless Warehouses, and further AI features like model serving and fine-tuning.

bpDatabricks Unity Catalog · Delta Sharing · SQL Serverless Warehouses +2
EnergyNatural Language Processing

Building a clean energy future with natural language analytics

Williams, a large-scale natural gas infrastructure operator, deployed Databricks AI/BI Genie to give commercial, regulatory, accounting and technical staff natural-language, self-serve access to analytics. The team flattened 27 disparate tables into SQL models that Genie Spaces reason over, encoding internal acronyms and business logic into Genie's instructions, powered by Databricks Unity Catalog. A data request that previously took an analyst five days now completes in seconds with validated accuracy, and the weekly backlog of data requests dropped from up to ten to one or two, freeing analysts for predictive modeling and enterprise projects.

WilliamsDatabricks AI/BI Genie · Databricks Unity Catalog