Databricks Raises $5 Billion at $190 Billion Valuation as Revenue Run-Rate Tops $7 Billion

Databricks announced on August 13, 2026 that it raised $5 billion in strategic funding at a $190 billion valuation, led by Coatue Management, with Blackstone, MGX, T. Rowe Price Investment Management, BOND, Clearlake Capital, Point72, Premji Invest and TPG also participating.

Revenue Milestones Disclosed Alongside the Round

• Total revenue run-rate surpassed $7 billion, growing more than 80% year-over-year in the company's fiscal second quarter
• Lakebase, Databricks' database product for AI agents, crossed a $100 million revenue run-rate
• The Lakehouse data warehousing business exceeded $1.5 billion in annualized revenue, growing more than 100% year-over-year
• The company has maintained positive adjusted cash flow for each of the past 12 months

Where the New Capital Is Going

Databricks plans to direct the fresh funding toward three products it positions as core infrastructure for deploying AI agents inside large organizations: Lakebase (a database built for AI agents), Genie (an AI assistant that draws on business data), and Unity AI Gateway (a platform for managing model use and controlling costs).

Context: A Rapid Valuation Climb

This $190 billion valuation follows a $134 billion valuation reached in a separate $5 billion round completed in February 2026 — meaning Databricks' valuation increased by roughly $56 billion in about six months, reflecting sustained investor conviction in the enterprise data and AI infrastructure category even as the company continues operating as a late-stage private company rather than pursuing an immediate public listing.

What This Means for Enterprise Data Platform Buyers

The specific product-level revenue disclosures — Lakebase past $100 million and Lakehouse past $1.5 billion annualized, both with triple-digit or near-triple-digit growth — are a more granular and useful signal for evaluating platform maturity than the aggregate $7 billion run-rate figure alone, since they show which specific product lines are actually gaining commercial traction versus which remain earlier-stage. For organizations evaluating data and AI infrastructure platforms at Databricks' scale, sustained positive adjusted cash flow alongside this growth rate is a notably different financial profile than many high-growth AI infrastructure companies still burning significant cash.