AI powerhouse Databricks has closed a fresh funding round of $4 billion at a valuation of $134 billion. The latest round is led by Insight Partners, Fidelity Management & Research, and JP Morgan Asset Management, with backing from Andreessen Horowitz. In addition, BlackRock and Blackstone also participated in the round.
Just months ago, Databricks raised $1 billion at a $100 billion valuation. With the latest rounds, the company is among the largest private technology firms, competing head-on with listed heavyweights like Oracle and Snowflake.
Part of the new capital will support secondary share sales for employees, offering liquidity without forcing a public listing. Databricks also plans to hire thousands more staff, including researchers, to expand its relatively small AI lab. Chief executive Ali Ghodsi has made it clear that building long-term research depth is as important as near-term revenue.
Building the backbone of enterprise AI
Founded in 2013 by Ali Ghodsi, Ion Stoica, Matei Zaharia, Patrick Wendell, Reynold Xin, Andy Konwinski, and Arsalan Tavakoli-Shiraji. Unlike high-profile players building consumer tools, Databricks has carved out a different role. Its platform helps organisations manage, analyse and activate vast amounts of data as they roll out new applications, services and autonomous systems. In many ways, it operates behind the scenes, powering the infrastructure that allows companies to actually use advanced technologies at scale.
With this, the company becomes a critical partner for enterprises navigating increasingly complex data environments. Rather than selling a single product, it embeds itself deep within business workflows, making it harder to replace and more valuable over time.
The company’s financial momentum matches its strategic ambition. Databricks reported a revenue run rate of $4.8 billion, up 55% year on year, rising sharply from $4 billion just weeks earlier.
As peers like OpenAI, Stripe and SpaceX reach high private valuations, Databricks stands as another example of how today’s tech leaders are rewriting the rules of scale. Going public is no longer the default path, and for now, Databricks seems in no rush to change course.
