Databricks Raises $5 Billion at $190 Billion Valuation as Enterprise AI Demand Accelerates
Databricks closed a $5 billion strategic funding round on August 13, 2026, at a $190 billion valuation, with CEO Ali Ghodsi telling TechCrunch that the company had aimed to raise $1 billion but received $15 billion in investor interest. The round was led by Coatue, with participation from Blackstone, MGX, accounts associated with T. Rowe Price, and new investor Sixth Street Growth, the firm founded by former Goldman Sachs chief investment officer Alan Waxman.
The financing follows a separate round Databricks closed in July 2026 at a $188 billion valuation, disclosed via press release without an accompanying raise amount. Yahoo Finance noted that the August round was the company's second financing in 2026 alone. Over the 20 months preceding this round, Databricks had already raised $20 billion.
Ghodsi told TechCrunch that Databricks reached $7 billion in annualized run-rate revenue, growing 80% year-over-year, and was cash-flow positive. The company's core cloud data warehouse product accounted for $1.5 billion of that $7 billion run rate and is still growing at 100% year-over-year.
Lakebase, Databricks' serverless Postgres database purpose-built for AI agents, launched in June 2025 and has already reached a $100 million revenue run rate. The product is marketed as "the first serverless Postgres database purpose-built for the age of AI." Ghodsi cited demand from businesses deploying AI agents as a central driver behind the round, and told Forbes that artificial general intelligence has already arrived and that the value now lies in enterprise applications.
Databricks also announced the acquisition of Electric, maker of the lightweight Postgres database PGlite, with terms undisclosed. The company's blog frames the deal as bringing WebAssembly-embedded Postgres to AI agent sandboxes. This follows the June 2026 acquisition of Panther, an AI cybersecurity company. Both acquisitions sit at the intersection of Databricks' core data infrastructure and the emerging AI agent stack.
Ghodsi said Databricks maintains multi-billion-dollar cloud commitments with all three major hyperscalers. The company also runs a 100-person AI research team, which Ghodsi described as a highly competitive and expensive area. The combination of compute commitments, research talent, and an aggressive M&A cadence points to where the $5 billion is likely headed.
The trajectory of Databricks' revenue run rate is worth tracing. The company announced a $4.8 billion run rate growing 55% year-over-year in December 2025, at a $134 billion valuation. By February 2026, the run rate had crossed $5.4 billion at 65% growth, with the company completing investments in excess of $7 billion including approximately $5 billion of equity financing at that same $134 billion valuation. Six months later, the run rate is $7 billion at 80% growth, and the valuation has moved from $134 billion to $190 billion.
What stands out is the acceleration in growth rate itself. Going from 55% to 80% year-over-year while the revenue base expands from $4.8 billion to $7 billion is not the pattern of a maturing enterprise software company. The catalyst is the AI agent buildout. Lakebase reaching $100 million in run-rate revenue roughly a year after launch is a signal that the infrastructure layer for agent state management, persistent memory, and operational databases is converting from proof-of-concept deployments into committed spend.
The capital structure is also notable. Databricks has now raised roughly $25 billion in equity across roughly two years. For a company that reports being cash-flow positive at $7 billion in run-rate revenue, the capital is not bridging to profitability. It is funding forward investment in compute, research talent, and acquisitions at a pace that organic cash generation cannot match. Ghodsi's framing, that AGI has arrived and enterprise application value is the next frontier, aligns with where the money is being deployed.
The broader context here is that the enterprise AI infrastructure layer is consolidating rapidly. Databricks is competing with Snowflake, the hyperscalers' native analytics services, and a cohort of well-funded startups for the data plane that underpins AI workloads. The company's bet is that the data warehouse, the agent database, and the AI research stack belong under one roof. Whether that thesis holds will depend on whether Lakebase and the research team's output translate into defensible product moats, or whether the hyperscalers eventually fold equivalent capabilities into their own platforms. The $190 billion valuation assumes the former.
