Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

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 ...

Databricks, which has traditionally appealed to coding-savvy data scientists and data engineers, is making a play to broaden its base of users with new products unveiled this week at the company’s ...

Valuation Target: Databricks is seeking to raise funds at a valuation between $165 billion and $175 billion, significantly higher than recent levels. Growth Drivers: AI products, SQL expansion, and ...

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Databricks Inc. today unveiled a new suite of tools aimed at simplifying the development of artificial intelligence agents for enterprise use. The centerpiece of the announcement is Mosaic Agent ...

There is a lot of enterprise data trapped in PDF documents. To be sure, gen AI tools have been able to ingest and analyze PDFs, but accuracy, time and cost have been less than ideal. New technology ...

The company expects $1 billion in revenue run rate for Databricks SQL by the end of its fiscal year in January 2026, a spokesperson said. That’s up from a $600 million run rate in December 2024. Used ...

Nasdaq consolidated enterprise and market data on Databricks to improve governance, speed product development and support AI ...