Pomegra
Databricks closed a $5 billion round led by Coatue on August 13, 2026, pushing its valuation to $190 billion in six months.
Key Takeaways
- Databricks raised $5 billion at a $190 billion valuation, up from $134 billion in February 2026.
- Coatue Management led the round; Blackstone, MGX, T. Rowe Price and Sixth Street Growth joined as new backers.
- The company's revenue run-rate topped $7 billion, growing more than 80% year-over-year.
Lead
Databricks closed a $5 billion funding round on August 13, 2026, at a $190 billion valuation, capping a run that has more than tripled the data and AI company's private-market price tag since December 2024. Coatue Management led the round. New investors Blackstone, MGX, T. Rowe Price, Sixth Street Growth, BOND, Clearlake Capital, Point72, Premji Invest and TPG joined alongside a roster of returning backers that includes Andreessen Horowitz, Goldman Sachs Alternatives, Morgan Stanley Investment Management and Temasek. The San Francisco company crossed $7 billion in annualized revenue, up more than 80% from a year earlier, and says it has been generating positive adjusted free cash flow over the trailing 12 months.
What Happened?
Databricks set out to raise roughly $1 billion, according to comments from chief executive Ali Ghodsi, and ended up fielding $15 billion in investor demand before settling on $5 billion. The round formalizes a process that began in July, when Databricks signed a term sheet for strategic funding at a $188 billion valuation. By the time the round closed a month later, the final figure landed at $190 billion - a 42% jump from the $134 billion valuation the company carried after its February Series L. That February round itself followed a $100 billion valuation set in September 2025 and a $62 billion mark in December 2024, meaning Databricks has roughly tripled its valuation in 20 months while raising more than $20 billion in that span.
Why Did Databricks Raise Again So Soon?
The pace reflects both investor appetite and the capital intensity of competing in enterprise AI infrastructure. Ghodsi has pointed to three uses for the new capital: multibillion-dollar cloud commitments with hyperscale partners, a roughly 100-person AI research team, and continued acquisitions - Databricks has bought Electric, Panther, Lakewatch and other startups in the past year to bolt on security and observability features. Unlike many AI infrastructure bets funded by debt or vendor financing, Databricks says it is doing this from a position of cash-flow strength rather than necessity, which makes the size of the raise more a statement about ambition than survival.
Strategic Context
The proceeds are earmarked for three product lines central to Databricks' pitch that AI agents need governed, stateful infrastructure rather than just a chat interface. Lakebase, a serverless Postgres database aimed at AI agents, launched in June 2025 and has already reached a $100 million revenue run-rate. Genie, Databricks' natural-language "AI coworker" for querying enterprise data, and Unity AI Gateway, a governance layer for managing multiple AI models and controlling costs, round out the trio. The company's core lakehouse data platform still anchors the business, with a $1.5 billion run-rate growing more than 100% year-over-year - evidence that the underlying data platform, not just the AI layer built on top of it, continues to compound.
How Does This Compare to Rivals in the Data-AI Race?
Databricks' $190 billion valuation now sits well above public rival Snowflake's market capitalization and rivals the scale of some of the best-funded AI labs, despite Databricks selling infrastructure and tooling rather than a foundation model itself. The company reports more than 1,000 customers generating over $1 million in annual revenue and more than 100 customers above $10 million, a customer concentration that investors have used to justify pricing the company at roughly 27 times its current run-rate. That multiple is steep by traditional software standards but not unusual for AI-infrastructure names commanding premium growth rates.
What Comes Next for Databricks?
Ghodsi has signaled longer-term ambitions to go public, but has repeatedly said the company sees more value in staying private while it scales AI research and acquisitions. Each of the last three rounds has closed faster and at a higher multiple than the one before it, a pattern that leaves little room for a valuation plateau without disappointing existing backers. The bigger test will be whether $7 billion in run-rate revenue and 80% growth can be sustained as the AI infrastructure market crowds with well-capitalized competitors, or whether Databricks' repeated returns to the fundraising table become harder to justify at ever-higher prices.
Outlook
Databricks now ranks among the most valuable private companies globally, having added $56 billion in valuation since February on the strength of AI-driven revenue growth and investor demand that outstripped its own fundraising target threefold. The round underscores continued private-market enthusiasm for AI infrastructure providers even as public software multiples have compressed elsewhere. Whether that gap closes through a Databricks IPO or a slowdown in follow-on funding will shape how the broader enterprise AI financing cycle is read over the next year.
