Databricks Raises USD 5B at USD 190B Valuation, Up 42% in Six Months

Databricks has closed a USD 5 billion funding round at a USD 190 billion valuation, up from the USD 134 billion it was valued at in a February round and more than triple the USD 62 billion valuation from January 2025, a 42% increase in just six months. Coatue Management led the round, joined by Blackstone, MGX, T. Rowe Price Investment Management and affiliated accounts, and new investor Sixth Street Growth.

What Databricks Builds

Databricks provides a unified data and AI platform used by enterprises to store, process, and build AI applications on top of their data. The company crossed a USD 7 billion revenue run-rate during its most recent quarter, growing more than 80% year over year, and its newer Lakebase database product for AI agents has already surpassed a USD 100 million revenue run rate on its own, a fast ramp for a product still early in its life.

Why This Round Matters

Raising USD 5 billion just eight months after a previous large round, at a valuation nearly triple where it stood 18 months ago, places Databricks among the fastest-compounding valuations of any private company in the current AI cycle. The round underscores how enterprise AI infrastructure, not just consumer-facing AI products, continues to command premium capital as large companies race to build the data foundations AI agents require. The investor list itself is telling: Blackstone and MGX are not traditional venture names, and their presence alongside T. Rowe Price's public-market-style participation suggests Databricks is increasingly being underwritten as a pre-IPO growth asset by crossover and private-equity-adjacent capital, not purely as a venture-backed technology bet.

What This Means for Founders

Databricks' scale sits far outside what any early-stage AngelLinx founder is raising, but its growth pattern, an established platform business expanding aggressively into AI-agent infrastructure and monetizing new products quickly, is a useful signal for founders building tools that plug into or extend large data platforms. The speed at which Lakebase crossed a USD 100 million revenue run rate as a newer product inside an existing platform is also a reminder that distribution through an established customer base can compress a new product's path to meaningful revenue far faster than building the same product as a standalone startup. Founders can browse the investor directory on AngelLinx for enterprise AI and data-infrastructure investors, use the investor match tool to find funds active in this category, check the live listing for current founder activity, and review the newsroom for related coverage of large AI infrastructure rounds this month. Founders ready to build their investor list can register on AngelLinx to get started.

AngelLinx Intelligence | angellinx.ai