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

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

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

As agentic applications become more autonomous, enterprises need shared infrastructure for context, model, and tool access; ...

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

Databricks and Cal Athletics announce a multi-year partnership, including the naming of Cal’s football venue as “Databricks Field at California Memorial Stadium.” The partnership marks Databricks' ...

Run models like SemIf-OpenJev directly on governed Databricks data using serverless GPUs and managed Model Serving. Query custom model endpoints from SQL or Lakeflow jobs with ai_query, returning ...

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 ...

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

Unity Catalog Pages are a new, governed home for the authoritative definitions of the concepts that run your business, your key terms, entities, and acronyms, organized by domain right next to the ...