Databricks went out asking for $1 billion. Investors put $15 billion on the table. It took $5 billion.
The data and AI company closed a $5 billion round on 13 August at a $190 billion valuation — up 42% from the $134 billion it carried in February, its second raise of the year. Coatue Management led, joined by Blackstone, MGX and T. Rowe Price. TechCrunch reports the company opened the process looking for about $1 billion and found investors willing to hand over roughly $15 billion; it settled in the middle. Databricks says its revenue run-rate has passed $7 billion, growing more than 80% in the second quarter. The money goes into Lakebase, its serverless Postgres for AI agents, the Genie assistant, and Unity AI Gateway, a control layer for governing and costing multiple models.
Why it mattersThe headline number is $190 billion; the interesting number is the gap between $1 billion asked and $15 billion offered. That gap is what an investor stampede looks like from the inside — capital chasing AI infrastructure harder than the companies building it want to be chased. Databricks is one of the few here with revenue large and fast-growing enough to argue the price is defensible. The question its round raises is not about Databricks. It is about what that same wall of money is doing to the valuations of companies whose revenue is not $7 billion.
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