Databricks raises $5B more after annualized revenue tops $7B
SiliconANGLE Maria Deutscher ● Covered by 5 sources
Databricks raised $5B at a $190B value after annual recurring revenue topped $7B. It’s also pushing deeper into AI databases and agent tools.
Based on reporting by SiliconANGLE, Maria Deutscher — read the original for the full story.
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Databricks just added another $5 billion to its war chest, and the price tag this time is a $190 billion valuation. The round was led by Coatue, Blackstone, MGX, T. Rowe Price and Sixth Street Growth, with more than half a dozen other backers joining in, most of them returning investors.
The raise lands after a strong quarter. Databricks said annualized recurring revenue climbed more than 80% year over year to above $7 billion. That growth wasn’t spread evenly across the stack. Lakebase, the company’s year-old managed PostgreSQL service, brought in more than $100 million on its own, while Lakehouse more than doubled to over $1.5 billion.
Lakebase is the most interesting piece here because Databricks is treating it like more than just another database product. It extends PostgreSQL with autoscaling, data protection and branching, which lets developers copy a production database without downtime. Those copies can be used to test changes or build new apps without poking at the live system.
Some of the new money will go back into Lakebase, and Databricks says part of that work will draw on Electric DB, the startup it acquired on Tuesday. Electric’s PGlite database is built for AI-agent sandboxes, and Databricks plans to combine it with Lakebase so records can sync between local agent databases and the company’s larger environment. The pitch is coordination: keep agents isolated, but let them share data when needed.
Lakebase isn’t the only beneficiary. Databricks also says the round will fund more work on Genie and Unity AI Gateway. Genie speeds up tasks like querying data stored in Databricks, while Unity AI Gateway, which became generally available last week, gives companies a central catalog for their AI models and the tools attached to them. Databricks said more than 1,000 organizations now spend over $1 million a year on its software, and about a fifth of those accounts are above $10 million annually.
My take — AI-written commentary, not fact-checked reporting
Databricks is doing the classic enterprise AI move: sell the database, then sell the plumbing around the agents, then bill everyone twice. It works because the market still rewards closed control wrapped in open-source clothing, and the biggest winners are the ones that make migration feel like a feature instead of a threat.
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