Data and AI platform Databricks has finalized a $5 billion financing round at a $190 billion valuation, solidifying its position as one of the world's most valuable private technology companies. The raise ranks among the largest single private funding rounds on record and positions Databricks in a valuation tier exceeded by only a handful of private firms worldwide. CEO Ali Ghodsi also argued that artificial general intelligence, under an older industry definition, already exists.

Valuation and Revenue Fundamentals

Databricks initially disclosed the deal on July 16 at a $188 billion valuation, following a term sheet led by existing investor Coatue. Ghodsi told Forbes that the higher closing figure of $190 billion reflects a larger total raise and additional shares issued during the funding process.

Coatue led the final round once again, joined by Blackstone, MGX, and T. Rowe Price. Sixth Street Growth participated as a first-time investor.

According to Forbes, Databricks' revenue run rate now exceeds $7 billion, with year-over-year growth reaching as high as 80%. That trajectory underscores a rapid revenue expansion driving a valuation that has essentially tripled since late 2024. Databricks competes directly with Snowflake in the unified data and analytics market, and its private valuation now dwarfs the market capitalization of its publicly traded rival — a gap that has fueled ongoing speculation about whether Databricks will pursue an IPO or continue raising in the private markets.

A Steep Upward Trajectory

Databricks was valued at $62 billion in late 2024, surpassed $100 billion by August 2025, and reached $134 billion in December 2025. The latest round represents an almost 40% increase in approximately five months.

The company traces its roots to Apache Spark, an open-source framework for processing large-scale datasets developed at UC Berkeley. Databricks now says it serves more than 20,000 organizations, including 70% of the Fortune 500.

Despite the momentum, some analysts remain cautious on whether the price is fully justified.

"ARR growing at 50%+ and gross margin stabilizing at 70%+ over the next few years should justify the valuation," Owen Lau, an equity analyst at Clear Street, told Yahoo Finance. He added a caveat: "The ROI debate at the application layer is still not settled. If the enterprises can't monetize these AI tools or increase productivity, they will likely cut back these data and AI investments."

Fresh Capital Earmarked for Three Key Products

Ghodsi has allocated the new capital toward three products he considers the company's primary strategic bets: Unity AI Gateway, Lakebase, and Genie.

Unity AI Gateway routes AI workloads across different models and enables companies to set spending budgets. Lakebase, a serverless Postgres database designed for software built by AI agents, has surpassed a $100 million revenue run rate, according to Forbes. Genie is built to provide AI systems with unstructured internal context — including emails, meeting recordings, and operational data — needed to take action within a business environment.

Ghodsi contends that enterprises are shifting from "tokenmaxxing to valuemaxxing." During the early phase of AI adoption, companies consumed as many AI tokens as possible; now, he argues, they want to maximize business outcomes per dollar spent. He told Forbes that over one quadrillion tokens have been processed through the gateway, giving Databricks direct visibility into how customers switch between models when a cheaper or more capable alternative emerges.

Ghodsi's AGI Argument

Ghodsi's AGI claim rests on a specific definition: a system that can perform the intellectual work humans do and is smarter than most people most of the time meets the criteria for AGI as it was discussed in the industry before 2022.

What most people now refer to as AGI, he said, is closer to superintelligence — "and if that is your definition, then of course it is not here." The distinction places Ghodsi at odds with leaders at OpenAI and Anthropic, who have framed AGI as a still-unreached milestone tied to systems that can autonomously conduct novel scientific research and match humans across all economically valuable tasks. He also explained why little inside most companies currently appears autonomous, arguing that a model cannot fully reason about a business without access to its records, rules, and permissions.

"The world remains largely unchanged, except that token spending is rising," Ghodsi said. That gap is precisely the market Databricks is targeting, a dynamic that has fueled its steep valuation increase over the past two years.