❯ Databricks Raises $5B, Valuation Climbs to $190B

ROUNDData lakehouse platform Databricks completed a $5 billion funding round, lifting its valuation to $190 billion. Coatue led the round, with Blackstone, MGX, T. Rowe Price and new entrant Sixth Street Growth participating. It sells a unified foundation for enterprise data — once data is stored, reports, analytics and AI models all run on the same data, with no need to move it separately for each use case. According to Crunchbase, the 13-year-old company has raised roughly $25 billion in cumulative funding.

INTERIMIn the previous round, Databricks was valued at $134 billion, and the company had just announced annualized revenue crossing $4.8 billion. This time, the figures are annualized revenue above $7 billion, with second-quarter year-over-year growth above 80%. Put the two sets side by side: revenue grew about 46%, valuation rose about 42%, and the multiple barely moved. It has been less than a year since the previous round, and in the intervening months Databricks shifted its focus from “storing data” to “letting agents work directly on data,” rolling out Lakebase, Genie, and Unity AI Gateway simultaneously across three tracks. Opening two rounds within a year, with both led by growth-stage capital rather than early-stage institutions, is itself the reason it can still raise at this size today.

RATIONALECapital chose it not because it builds great models, but because enterprise AI budgets ultimately land on the data layer. It faces Google BigQuery and Microsoft Fabric directly — both can bundle data warehouses into existing cloud contracts and sell them, and Databricks cannot win a price war. Its position is in cross-cloud neutrality — customers’ data is spread across three clouds, and nobody wants to move their assets just to use one vendor’s analytics tools. Growth above 80% on a $7 billion base is an extremely rare combination in enterprise software. The new increment does not come from scaling up small customers; it comes from existing customers moving entire AI workloads in. Lakebase merges transactional databases into the lakehouse, and Unity AI Gateway manages the entry point for enterprises calling various models internally — the more customers use it, the harder it is to migrate away.

IMPLICATIONThis round’s pricing tells the market one thing: private markets are already measuring Databricks with a public-market ruler. The multiple doesn’t expand and just follows revenue — that is the valuation approach for mature assets, not for venture capital. The lineup of Coatue, Blackstone, and T. Rowe Price doesn’t look like a venture list; it looks more like the last-leg investors before a listing. For founders, the window at the data-foundation layer is now largely closed, and the list of companies that can raise big money there is already written. For investors, the next thing to reassess is the exit path — a company that has swallowed $25 billion cumulatively has no exit other than going public.

▪ SIGNALRevenue up 46%, valuation up 42%, multiple went nowhere. The way Databricks is being priced is no different from how a listed software giant is valued.