Databricks Raises $5 billion at a $190 Billion Valuation
Trending Topics Jakob Steinschaden ● Covered by 5 sources
Databricks just raised $5 billion at a $190 billion valuation. It says revenue is running at $7 billion, and the real pull is old-school data, not flashy AI.
Based on reporting by Trending Topics, Jakob Steinschaden — read the original for the full story.
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Databricks has closed a $5 billion funding round at a $190 billion valuation, according to a company announcement. The company also says its revenue run-rate crossed $7 billion in the second quarter, up more than 80% year over year. That’s a huge number by any private-company standard, and it arrives with a very specific message attached: the money isn’t going into hype, it’s going into control.
The round was led by Coatue and included Blackstone, MGX, funds advised by T. Rowe Price, and new investor Sixth Street Growth. Also joining the cap table were BOND, Clearlake Capital, Point72, Premji Invest and TPG. Existing backers such as Andreessen Horowitz, Fidelity, Goldman Sachs Alternatives, Insight Partners, Morgan Stanley Investment Management, Temasek and others came along too. This is Databricks’ second raise in six months.
Back in February 2026, the company said it had raised about $5 billion at a $134 billion valuation, with a run-rate of $5.4 billion and growth of 65%. On Bloomberg’s math, the new valuation is about 42% higher than it was half a year ago. Measured against the current run-rate, the company is valued at roughly 27 times sales. That is a serious multiple, even for a company growing this quickly.
The biggest growth engine, Databricks says, is not its AI business but Lakehouse, its data warehousing product. Lakehouse is at a run-rate of more than $1.5 billion and growing at over 100% year over year, which puts it squarely against Snowflake’s core business. Databricks says it has more than 20,000 customers worldwide, including 70% of the Fortune 500, and more than 1,000 customers spend over $1 million a year.
The new capital is also aimed at the agent business, where products like Lakebase, Genie and Unity AI Gateway sit. Lakebase has already passed a $100 million run-rate, and CEO Ali Ghodsi’s pitch is telling: the demand isn’t just coming from AI enthusiasm, but from AI cost pressure. Rising token prices are pushing customers toward cost-control tools and open-source alternatives, he told CNBC. Databricks still wants an IPO someday, but not now. Ghodsi says public markets bring too much distraction, so the company is staying private and letting the private market pay for the delay.
My take — AI-written commentary, not fact-checked reporting
This is what late-stage AI now looks like: not magic demos, but expensive plumbing with a very confident price tag. The interesting bit is that Databricks is selling restraint — cost control, governance, open-source options — while still getting valued like a rocket ship. That’s a neat trick, and a very 2026 one.
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