To confirm this is an architecture problem rather than a model quality problem, Databricks reran published STaRK baselines ...

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 + ...

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 ...

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 ...

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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 ...