Databricks jumps to $190B valuation with $5B round, six months after hitting $134B
Tech Funding News Abhinaya Prabhu ● Covered by 5 sources
Databricks raised $5B at a $190B valuation, up from $134B six months ago. The AI-data company says demand showed up before it even asked for that much money.
Based on reporting by Tech Funding News, Abhinaya Prabhu — read the original for the full story.
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Databricks just added another huge number to its already absurd fundraising streak: $5 billion at a $190 billion valuation. Six months ago, it was sitting at $134 billion. That’s a fast climb even by the standards of private-market optimism, and it came with a big dose of demand the company says it didn’t set out to capture.
The San Francisco company says revenue is now running above $7 billion a year, with second-quarter growth topping 80% year over year. Ali Ghodsi, its co-founder and chief executive, said enterprises want AI agents that can remember context, answer accurately, and do the work without running up bills. That framing matters, because Databricks is trying to sell more than a flashy chatbot. It’s selling the plumbing underneath.
The new money, led by Coatue, also pulled in Blackstone, MGX, T. Rowe Price-advised accounts, Sixth Street Growth, and a long list of new and returning backers. Databricks says the cash will go deeper into Lakebase, Genie, and Unity AI Gateway. Lakebase has already passed a $100 million revenue run-rate, while the company’s Lakehouse business is above $1.5 billion in run-rate and growing more than 100% year over year.
The pitch is pretty clear: keep the company flexible, keep it close to enterprise data, and keep it open across different models and cloud setups. Databricks says more than 20,000 organisations use its platform, including adidas, AT&T, Bayer, Block, Mastercard, Rivian, and Unilever, and it claims 70% of the Fortune 500. That puts it in direct view of Snowflake, but also of Microsoft, Google, and AWS, all of whom would very much like those contracts to stay put.
And the scale keeps getting stranger. Databricks says more than 1,000 customers now generate over $1 million in annual revenue run-rate, and more than 100 spend above $10 million. That’s not a startup story anymore. That’s infrastructure with a very expensive confidence problem.
My take — AI-written commentary, not fact-checked reporting
Databricks is doing the classic enterprise trick: turn “we have the data” into “therefore we deserve the throne.” It works until the big cloud vendors decide they’d also like the throne, the crown, and the seat next to it. The real test isn’t whether Databricks can raise at public-market scale while staying private; it’s whether the market keeps paying for neutrality when everyone else is bundling AI into the checkout cart.
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