Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Scale Databricks Apps from design to production: set latency targets, keep state recoverable, load test, and size instances, ...

The new agentic code converter uses Genie Code-powered agents to analyze, translate, validate, and refine SQL workloads moving from Teradata, Snowflake, Redshift, and SQL Server. Databricks is adding ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Learn how to query Databricks Iceberg tables with Lakehouse runtime catalog through bi-directional federation with Databricks ...

Apache Spark 4.3 brings stateful streaming with millisecond-scale latency, history-preserving Auto CDC, and faster data and ...

Databricks, which has traditionally appealed to coding-savvy data scientists and data engineers, is making a play to broaden its base of users with new products unveiled this week at the company’s ...