ai_decide is a new Databricks AI Function that makes fast decisions directly on your data. It takes unstructured text and ...

Read restrictions and catalog labels are two new specs from Apache Iceberg™ that help standardize how policies are enforced ...

Unity catalog managed tables allow you to control the placement of your data when your organization needs separate storage.

Lakebase is cost-efficient by design because its separated storage and compute architecture lets branching, read replicas, ...

Providing our employees access to frontier AI capabilities is a top priority at Databricks, and consequently, it is important ...

Learn how manufacturers connect value-chain data, trace defects across systems and give teams governed, natural-language access to answers.

Five system table queries to track Databricks spend — by product, warehouse, and team, with anomaly detection and AI ...

Across its production AI environment, Concurrence now processes approximately 100.8 billion input tokens and 11.2 million LLM calls every 30 days, equivalent to an annualized run rate of roughly 1.2 ...

See how anomaly detection catches gray failures — silent, partial outages that slip past green dashboards — in minutes, and ...

National Australia Bank, Australia’s largest business bank, uses Databricks Data + AI Platform to provide data at speed, scale, and security for 8.5 million customers. With Unity Catalog and a single ...

ACID transactions are database operations that follow four guarantees: atomicity, consistency, isolation and durability. These properties ensure that either all parts of a transaction succeed or none ...

Serverless computing is an application model where the cloud provider manages all servers and scaling so developers can focus on building and deploying code instead of maintaining infrastructure.