Databricks Raises $5 Billion at $190 Billion Valuation as AI Agent Demand Surges

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Databricks closed a $5 billion funding round at $190 billion valuation, led by Coatue with participation from Blackstone and MGX. The data and AI company surpassed $7 billion annualized revenue run rate with over 80% year-over-year growth, driven by enterprise demand for AI agent-enabling products.

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Databricks Secures $5 Billion in Strategic Funding Round

Databricks closed a $5 billion strategic funding round at a $190 billion valuation, marking a significant jump from its $134 billion valuation just six months earlier

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. The round was led by Coatue, with participation from Blackstone, MGX, accounts advised by T. Rowe Price Associates and T. Rowe Price Investment Management, along with new investor Sixth Street Growth

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. Additional new investors included BOND, Clearlake Capital, Point72, Premji Invest, and TPG, while existing backers like Andreessen Horowitz, Dragoneer, Goldman Sachs Alternatives, and Thrive Capital also participated

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The San Francisco-based data and AI company revealed it crossed a $7 billion annualized revenue run rate in its second quarter, reflecting more than 80% year-over-year growth

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. Databricks also maintained positive adjusted free cash flow for each of the past 12 months

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. The company now serves more than 1,000 customers consuming at over $1 million in annualized revenue, with more than 100 customers exceeding $10 million

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AI Agent-Enabling Products Drive Revenue Acceleration

Databricks will direct the funding toward three AI-focused products designed to help businesses build and manage AI agents: Lakebase, a serverless database for AI agents; Genie, an AI assistant that draws on business data; and Unity AI Gateway, a platform for managing model use and controlling costs

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. The Lakebase product has already crossed the $100 million revenue run-rate threshold, while the Lakehouse data warehousing business climbed past $1.5 billion in annualized revenue run rate with year-over-year growth exceeding 100%

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Co-founder and CEO Ali Ghodsi pointed to enterprise demand for AI agents as a central driver of the company's momentum. "Enterprises don't just want AI that talks. They want agents working across their business that remember context, deliver accurate answers, and execute work without blowing through their budgets," Ghodsi said

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. Thomas Laffont, Coatue's co-founder, noted that Databricks has "compressed R&D timelines that used to take years into months, more like a research lab than a typical software company"

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Rising AI Computing Costs Reshape Customer Priorities

Ghodsi told CNBC that rising AI computing costs are driving demand for Databricks' cost-control tools and open-source model options

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. He revealed that as token expenses rise, clients who once ruled out Chinese AI models are growing more open to them. "What has happened is that this token maxing has freaked out the CFOs," Ghodsi explained

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. This shift highlights how AI computing costs are forcing enterprises to reconsider their AI infrastructure strategies and explore alternative model providers to manage budgets effectively.

Founded in 2013, Databricks provides software that helps companies store, manage and analyze data, as well as develop AI applications

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. The data and AI company competes with Snowflake and is widely viewed as a candidate for a future stock market listing

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. The company serves more than 20,000 customers globally, including 70 percent of the Fortune 500

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IPO Speculation Continues Despite Private Market Success

Ghodsi confirmed that an eventual IPO remains part of the plan, though he downplayed any urgency around timing. "We're not just a company that wants to stay in the private, but right now I just think there would be too much distraction in the public market," he said

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. Despite operating for 13 years, Databricks has repeatedly delayed an IPO, choosing instead to raise private funding and facilitate secondary share sales

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. Analysts widely regard Databricks as one of the most prominent private companies likely to pursue an eventual IPO, alongside OpenAI and Anthropic

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. Ghodsi told investors the company remains on track for an IPO, potentially as early as next year

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