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

Databricks One offers low-code and no-code capabilities, aiming to democratize analytics for business users while maintaining enterprise-grade governance. Databricks has previewed a no-code version of ...

Databricks on Tuesday announced an industry-specific data lakehouse for the manufacturing sector, in an effort to surpass its data lake and data warehouse rivals. A data lakehouse is a data ...

The hype around artificial intelligence focuses on infrastructure, but real progress is in data-oriented, application-driven retrieval. Once the infrastructure is established, the next innovation ...

Lakeflow Designer and Agent Bricks technology unveilings for building data pipeline workflows and AI agents, respectively, are on tap at Wednesday’s Databricks Data + Summit. With new technologies for ...

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, 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 ...

Databricks is seeing higher growth as AI agents assist with data analysis, but all that activity is significantly increasing costs.

Databricks’ acquisition of Panther supports its security lakehouse strategy as an alternative to traditional SIEM systems.

Snowflake Inc (NYSE:SNOW) remains well-positioned despite intensifying competition from Databricks, with Jefferies analysts ...