Databricks has closed a $5 billion funding round at a $190 billion valuation, the San Francisco-based data and artificial-intelligence company said this week, a 42% jump from the $134 billion valuation it held just six months earlier in February. The round was led by Coatue Management, with participation from Blackstone, MGX, and accounts advised by T. Rowe Price Investment Management and T. Rowe Price Associates, alongside new investor Sixth Street Growth, according to CNBC. Returning backers included Andreessen Horowitz, Thrive Capital, Goldman Sachs Alternatives and Temasek.
The company said it has crossed $7 billion in annualized revenue run-rate, with growth of more than 80% year over year in the second quarter. Proceeds from the round are earmarked for products aimed at helping businesses build and manage AI agents, an area where Databricks is racing rivals including Snowflake and Alphabet's cloud data offerings for enterprise customers building generative-AI applications on top of their own data.
A Round That Outgrew Its Target
Databricks initially set out to raise roughly $1 billion, according to TechCrunch, but interest ballooned after news of the planned raise became public. The company said it ultimately fielded approximately $15 billion in investor demand from a select group of backers alone, far exceeding what it had planned to accept.
My phone blew up.
Ali Ghodsi, Databricks chief executive, to TechCrunch
Ghodsi has tied the surge in investor appetite to rising enterprise anxiety over the cost and complexity of running AI workloads across multiple models, as companies increasingly rely on Databricks' platform to manage data pipelines feeding large language models. The $190 billion valuation places Databricks among the most highly valued private technology companies globally, in a year when venture funding has concentrated heavily around infrastructure providers seen as essential to the broader AI buildout.
Competitive Backdrop
The raise underscores how quickly private valuations for AI-infrastructure companies have moved even as public markets debate the sustainability of AI-related capital spending. Databricks competes directly with Snowflake in the data-warehousing and analytics market, and increasingly overlaps with cloud providers like Alphabet's Google Cloud as enterprises consolidate the tools they use to store data and deploy AI models against it.
The company has not disclosed a timeline for a public listing, though its rapid revenue growth and string of outsized private funding rounds have fueled speculation about an eventual IPO. For now, the $5 billion raise gives Databricks additional capital to invest in agent-focused products as it looks to extend its lead over rivals chasing the same enterprise AI spending.
