Databricks has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

Research reveals that LeapLogic delivers significantly higher conversion accuracy, faster transformation and time ...

As enterprises race to deploy agents, shift from pilot projects to production, and scale, they face the reality that data integration and AI stacks remain deeply disconnected. The result is AI supply ...

Databricks Inc. today announced the general availability of Zerobus Ingest, a new serverless service within its Lakeflow Connect suite that simplifies and accelerates real-time data ingestion into the ...

Databricks is having one of those years that most enterprise software companies would quietly envy. The data and AI platform says it has reached a $5.4bn annual revenue run rate, growing 65% year over ...

This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author. Building on this momentum, Databricks is completing investments in the ...

San Francisco-based Databricks has quietly armed itself with a multibillion-dollar cushion, locking down roughly $5 billion in fresh equity and lining up about $2 billion in new debt capacity. That ...

SAN FRANCISCO, Feb. 9, 2026 /PRNewswire/ -- Databricks, the Data and AI company, today announced it crossed a $5.4 billion revenue run-rate, delivering >65% year-over-year growth during its Q4.