The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

Databricks and Tonic.ai have partnered to simplify the process of connecting enterprise unstructured data to AI systems to reap the benefits of RAG. Learn how in this step-by-step technical how-to.

Dec 16 (Reuters) - Databricks said on ‌Tuesday that it has raised more than $4 ‌billion at a valuation of $134 billion, the latest example of investors betting big on companies benefiting from the ...

Open-source based large language models like Dolly are in high demand as enterprises want to use them for targeted or specific use cases, analysts said. Databricks has released an open-source based ...

AI isn't going to replace major SaaS apps with vibe-coded versions, Databricks CEO Ali Ghodsi believes. But it could give rise to competitors.

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit. Using this new capability, enterprises can bring together their various siloed data systems and ...

The San Francisco-based data analytics company Databricks has raised a stunning $10 billion funding round, which values the company at $62 billion and likely puts it on a path toward an IPO. The size ...

At our inaugural Supercloud22 event this week, we sought community input to evolve the concept of a supercloud by iterating on the definition, the salient attributes and examples of what is and is not ...

Databricks, the open-source data lake and data management powerhouse has been on quite a financial run lately. Today Bloomberg reported the company could be raising a new round worth at least $1.5 ...

NEW YORK, Sept. 30, 2024 (GLOBE NEWSWIRE) -- EXL [NASDAQ: EXLS], a leading data analytics, digital operations, and solutions company, announces the strengthening of its partnership with Databricks, ...

Databricks CEO Ali Ghodsi warns that AI agents are changing enterprise software and could put several traditional SaaS companies at risk of being wiped out if they fail to adapt.