With an overflowing war chest from its $5 billion raise that closed last month (not to mention billions in revenue), Databricks is acquiring. The company, best known for its cloud data analytics ...

Databricks is introducing a security information and event management service called Lakewatch. The privately held company sees an opportunity to challenge mature cybersecurity vendors using ...

As the AI industry races toward bigger models—and louder claims—Databricks is quietly building the infrastructure to make these models actually work for business. Databricks’s data management and ...

The Department of Homeland Security is preparing a blanket purchase agreement to ensure the continued operation of its data lakehouse environment and intelligence platform. Sign up for the Potomac ...

Clients across industries, such as Albertsons, BASF, and Kyowa Kirin International are working with Accenture and Databricks to build agent-ready databases and AI applications on their enterprise data ...

The launch of Genie Code, analysts say, signals Databricks’ growing ambition to turn its lakehouse platform into the environment where enterprise AI systems build, run, and manage data workflows.

The data and AI platform developer is now marketing its new Zerobus Ingest software as an alternative to legacy message-based software for real-time and near-real-time data movement. Databricks is ...

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Here’s a little secret for you: The next wave of AI success is going to be completely dependent on structured data. Maybe that’s a no-brainer to you. Maybe I’m telling you that the next time you take ...

Databricks Inc. today announced that it has raised more than $7 billion in equity and debt financing to accelerate its growth efforts. The company first disclosed the investment late last year when it ...

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 ...

Databricks provides tables designed for massive scale, enabling efficient storage and querying of tens of billions of triples with features like time travel No ETL or migration needed—just query your ...