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Databricks Raises $5B at $190B Valuation Amid Massive Investor Demand

Data and AI company Databricks closed a $5 billion funding round at a $190 billion valuation, according to statements from co-founder and CEO Ali Ghodsi reported by TechCrunch, CNBC, and Bloomberg. The investment, detailed by the company on…

Data and AI company Databricks closed a $5 billion funding round at a $190 billion valuation, according to statements from co-founder and CEO Ali Ghodsi reported by TechCrunch, CNBC, and Bloomberg. The investment, detailed by the company on Thursday, was led by Coatue and drew participation from about two dozen VCs as enterprise demand for specialized artificial intelligence infrastructure accelerates.

The financing strategy shifted dramatically after initial media coverage triggered an influx of institutional interest, according to CEO Ali Ghodsi speaking with TechCrunch. Databricks initially targeted a $1 billion capital raise during a company conference in June. Following a report by The Information regarding the funding plans, inbound investor interest surged to $15 billion, prompting executives to issue additional stock to accommodate long-term backers without creating friction.

Coatue led the $5 billion round alongside major participants including Blackstone, MGX, T. Rowe Price, and new investor Sixth Street Growth, founded by former Goldman Sachs chief investment officer Alan Waxman. The resulting $190 billion valuation eclipses earlier figures discussed during the preliminary term sheet phase, which FinTech Global reported at $188 billion.

Product Expansion and AI Infrastructure Investments

Databricks will channel the fresh capital into scaling its core AI products, focusing specifically on three key offerings: Unity AI Gateway, Genie, and Lakebase, according to FinTech Global. Unity AI Gateway operates as a multi-AI governance tool enabling enterprises to oversee usage and manage deployment costs.

According to Ali Ghodsi, enterprise customers are shifting their operational focus away from simply maximizing token usage toward optimizing value per dollar. This economic reality drives demand for multi-AI governance infrastructure that allows businesses to select the right model for specific tasks rather than relying exclusively on the most expensive systems available.

The company reports strong financial metrics supporting the round, with annualized run-rate revenue surpassing $7 billion and growing at over 80 percent year-over-year, according to aVenture News. Its core cloud data warehouse product accounts for $1.5 billion of that run-rate, maintaining a 100 percent annual growth rate. Meanwhile, Lakebase, launched in June 2025, has already achieved a $100 million revenue run-rate.

Capital Deployment and Mergers and Acquisitions

Despite maintaining positive cash flow, Databricks faces significant operational expenditures driven by heavy AI research and cloud infrastructure commitments, according to aVenture News. The company maintains multi-billion-dollar cloud obligations with major hyperscalers and supports an internal AI research team comprising 100 people.

Databricks Raises $5B at $190B Valuation Amid Massive Investor Demand
Photo: fintech.global

Capital from the latest round will also fund ongoing mergers and acquisitions. Databricks announced the acquisition of Electric, creator of the lightweight Postgres database PGlite, and previously acquired AI cybersecurity firm Panther in June, alongside two additional startups in March, according to aVenture News.

Databricks serves more than 20,000 organizations globally, including brands such as adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70 percent of the Fortune 500, according to FinTech Global. While CEO Ali Ghodsi confirmed plans to eventually take the company public, private fundraising remains the primary vehicle for scaling operations amid rapid market expansion.

Databricks Raises Series M at $188 Billion Evaluation | Tech, Data, and AI Updates

About the author: Marcus Liu - Business Editor

MBA and ex‑B bureau chief specializing in global finance and fintech. Marcus speaks Mandarin, Japanese, and English, and has interviewed CEOs from the Fortune 50 to Y‑Combinator unicorns. Marcus Liu delivers sharp analysis on markets, startups, and corporate strategy for investors and entrepreneurs alike.