Databricks closes $5B round at $190B valuation, tops $7B revenue run-rate
What's the deal? Databricks has closed a $5 billion strategic funding round at a $190 billion post-money valuation, the data and AI company said on August 13. Coatue led the round, joined by Blackstone, MGXDealroom has a profile for this one. Try Dealroom →, T. Rowe Price, and new investor Sixth Street GrowthDealroom has a profile for this one. Try Dealroom →.
Other new backers included BONDDealroom has a profile for this one. Try Dealroom →, Clearlake CapitalDealroom has a profile for this one. Try Dealroom →, Point72Dealroom has a profile for this one. Try Dealroom →, Premji Invest, and TPG, alongside existing investors such as Andreessen Horowitz, Thrive Capital, GIC, and Temasek.
By the numbers: Databricks crossed a $7 billion revenue run-rate in its second quarter, growing more than 80% year over year. It has delivered positive adjusted free cash flow over the past 12 months and now counts more than 1,000 customers spending over $1 million a year each.
The raise comes six months after the company banked $5 billion at a $134 billion valuation — a jump of $56 billion in six months.
What's the money for? Databricks will pour the funding into three products: Lakebase, its serverless Postgres database for AI agents; Genie, an AI coworker that turns company data into answers; and Unity AI Gateway, a tool for governing and controlling spend across multiple models. Lakebase has already passed a $100 million revenue run-rate.
The product play: Chief executive Ali Ghodsi frames the strategy around cost control as AI usage surges. "Unity AI Gateway lets you route all of your tokens through one system and set budgets for different groups or individuals," he said, calling it a switch "from token maxing to value maxing." Databricks has open-sourced the gateway through MLflowDealroom has a profile for this one. Try Dealroom → to help enterprises avoid vendor lock-in.
Why now? Founded in 2013, Databricks is among a growing group of companies delaying an IPO to tap deep private markets. Ghodsi said the decision to raise reflected the cost of expanding its AI business and the chance to invest more aggressively in hiring and acquisitions.
What could go wrong? The returns case for enterprise AI remains unproven. "The ROI debate at the application layer is still not settled," said Owen Lau, equity analyst at Clear Street. "If the enterprises can't monetize these AI tools or increase productivity, they will likely cut back these data and AI investments."
The signal: Databricks has now overtaken public rival Snowflake in market value and pushed into new verticals, from Lakebase against OracleDealroom has a profile for this one. Try Dealroom → and SAP to its Lakewatch cybersecurity product. The round shows how far private capital is willing to stretch for the infrastructure layer beneath enterprise AI — and how long the biggest players can afford to stay private.
Read more: Forbes · Databricks · CNBC
Image credit: Databricks
