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 ...

At the foundation of Data Engineering is the new Tray SQL Transformer. Teams can execute sophisticated data preparation tasks ...

The leading cause of AI project failure is data preparation bottlenecks created by disconnected tools. Today, Tray.ai, the leader in enterprise orchestration ...

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.

Databricks said it raised $5 billion in funding and $2 billion in new debt capacity at a $134 billion valuation. The company also said its annualized revenue exceeded $5.4 billion for the January ...

Abstract: Serverless computing has emerged as a flexible model for deploying applications in multi-tenant environments, where small, isolated functions often share the same host and compete for local ...

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.