A finance team’s job is not simply to report the numbers: it’s to interpret what they mean for the business, and help CFOs, ...

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

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

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

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

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

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

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 ...

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 ...

Operational databases are built for speed and accuracy — optimizing for real-time processing, they handle concurrent transactions as users interact with an application rather than large-scale ...