Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

data.world, the enterprise data catalog for the modern data stack, is announcing its partnership with Databricks, marking an enterprise-wide commitment toward visibility and accessible data.

Transactional database technology “hasn’t actually changed that much in the last 40 years” and is inadequate for today’s operational AI applications and agents, Databricks co-founder and CEO Ali ...

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 + ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Forbes contributors publish independent expert analyses and insights. Victor Dey is an analyst and writer covering AI and emerging tech. This voice experience is generated by AI. Learn more. This ...

Databrick’s purchase of startup Mooncake will accelerate the ability of the Lakebase OLTP database to provide data for AI agents and applications. Data and AI platform giant Databricks has acquired ...

Agentic AI requires a whole new type of architecture; traditional workflows create serious gridlock, dragging down speed and performance. Databricks is signaling its intent to get ahead in this next ...

SAP and Databricks are launching SAP Business Data Cloud, a new solution that unifies all SAP and third-party data throughout an organization, providing a trusted data foundation to make impactful ...