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 + ...

Our analysis and end-user discussions continue to demonstrate that a new modern data stack is emerging along with sophisticated data-oriented “personas,” such as data analysts and data scientists.

Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.

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 ...

Data is mixed. Inside modern enterprise IT stacks, it is quite standard to find data streams, data flows, data repositories and data connection channels that exist across various formats, platforms ...

Databricks new Data Intelligence for Cybersecurity, built on the same data lakehouse architecture as the company’s flagship data and AI platform, is designed to help security teams more efficiently ...