Databricks raises $5B at $190B valuation after investor frenzy overshadows original $1B target

Databricks has closed a $5 billion funding round at a $190 billion valuation, though the massive haul came about largely by accident. Co-founder and CEO Ali Ghodsi revealed that the company had originally aimed to raise just $1 billion—until a news report derailed those plans.

How a press leak changed everything#

During the company's June conference, coverage in The Information about Databricks conducting a major fundraise created unexpected momentum. Ghodsi described the timing as disruptive: his team was focused on the event, not capital raising, but the article triggered an avalanche of investor interest.

"The interest level was just insane," Ghodsi told TechCrunch. From a select group of potential backers alone, Databricks saw $15 billion in demand to participate. When investor enthusiasm reaches that magnitude, refusing allocations to existing long-term supporters risks creating friction in the investor community. The company responded by opening up the round and issuing more stock than originally planned, ultimately settling on $5 billion.

The new round was led by Coatue, with participation from a lengthy roster of backers including Blackstone, MGX, T. Rowe Price, and newcomer Sixth Street Growth (founded by former Goldman Sachs CIO Alan Waxman).

A company firing on all cylinders#

Databricks presents an unusually compelling business case. The company has reached a $7 billion annualized revenue run-rate with 80% year-over-year growth and has achieved cash-flow positivity. Its flagship data warehouse product generates $1.5 billion in run-rate revenue and is still expanding at 100% annually.

Beyond its core offerings, Databricks has expanded into AI infrastructure. Its agent database Lakebase, introduced in mid-2025, has already hit $100 million in annualized revenue. The company's Genie tool for AI-powered business analysis has proven "insanely popular," according to Ghodsi.

Why the capital influx matters#

Despite strong financial performance, AI development demands extraordinary resources. Databricks maintains multi-billion-dollar cloud commitments with all three major hyperscalers. The company also funds a 100-person AI research team—a notoriously expensive and competitive talent pool.

Additionally, Databricks is pursuing strategic acquisitions to fill capability gaps. This week alone, the company , which built PGlite, a lightweight Postgres database useful for AI agents spinning up their own databases. Recent acquisitions include , an AI cybersecurity startup (June), and two additional startups earlier in the year.