Databricks just crossed a major threshold that only a handful of private companies ever reach. The data analytics platform announced it's raising $4 billion at a $134 billion valuation, a stunning 34% jump from its $100 billion valuation just four months ago. The move underscores a bigger trend reshaping venture capital: mega-unicorns like Databricks, OpenAI, and SpaceX are staying private far longer than predecessors, tapping an increasingly robust private market for billions instead of rushing to IPOs.
The funding round was led by Insight Partners, Fidelity Management & Research Company, and JPMorgan Asset Management, with participation from Andreessen Horowitz. The influx of capital reflects where the smart money sees enterprise AI heading. Databricks, founded in 2013 in San Francisco, has positioned itself at the intersection of data platforms and AI, offering tools that help companies build AI applications on top of their existing data infrastructure.
What's striking about this valuation isn't just the number itself. It's the velocity. Four months ago, Databricks crossed the $100 billion threshold and made headlines as only the fourth private company to achieve that milestone, joining SpaceX, ByteDance, and OpenAI. Now it's added $34 billion in value before the year's end. That kind of momentum signals something deeper shifting in enterprise technology—AI infrastructure companies are no longer future bets. They're printing money today.
The numbers back that up. Databricks said it topped a $4.8 billion annual revenue run-rate during Q3, with 55% year-over-year growth. Compare that to where it stood earlier in 2025 at a $4 billion run-rate, and you're looking at a company adding roughly $200 million in quarterly revenue. For an enterprise software company, that's exceptional. The company plans to use the fresh capital to support what it calls "customer app building," essentially helping enterprises layer AI capabilities on top of their data platforms as the AI wave accelerates.
CEO Ali Ghodsi didn't overstate it when he told investors this capital will unlock new possibilities. The enterprise is desperately hunting for ways to operationalize AI without abandoning the data infrastructure investments they've already made. Databricks sits right in that sweet spot—it's not trying to be or building foundation models. It's the plumbing that lets enterprises build AI applications on what they already own.
