Databricks just closed a $1 billion funding round at a staggering $100 billion valuation, marking one of the largest enterprise AI deals of 2025. CEO Ali Ghodsi says the wildly oversubscribed round will fuel the company's aggressive push into AI agent databases, where 80% of new databases are now created by AI rather than humans.
Databricks just reshaped the enterprise AI landscape with a $1 billion funding round that values the data analytics giant at $100 billion, sources confirmed to TechCrunch. The wildly oversubscribed round positions the company to challenge Oracle's decades-long stranglehold on the database market through a radical bet on AI agents.
The funding, co-led by Thrive Capital and longtime investor Insight Partners, comes just months after Databricks' record-breaking $10 billion raise at a $62 billion valuation in January. That previous round was later topped by OpenAI's $40 billion raise in March, but Databricks' latest deal signals the enterprise AI arms race is far from over.
"The database market is $105 billion of TAM, of revenue, sitting there, kind of unaffected in the last 40 years," CEO Ali Ghodsi told TechCrunch in an exclusive interview, taking a clear shot at Oracle's market dominance. His weapon of choice? A fundamental shift in who's creating databases.
The numbers reveal a seismic change happening under the radar. According to Databricks' internal data, AI agents created 30% of new databases a year ago. That figure has exploded to 80% today, with Ghodsi predicting it will hit 99% within twelve months. "There's a new user. The user is not human. It's an AI agent, and if we just double down on making that user persona successful, that's the wedge to disrupt that TAM," he explained.
This insight drives Databricks' two-pronged strategy for the fresh capital. First, the company plans to accelerate its Lakebase database platform, launched in June at the company's annual conference. Built on open-source Postgres, Lakebase directly competes with Supabase in the enterprise-grade database market, but with a crucial differentiator: separated compute and storage architecture.
"Because these agents are super fast. They just spin up lots of databases, much faster than humans can, but you don't want to go bankrupt because you're doing that," Ghodsi explained. By untying expensive compute from lower-cost storage, Databricks can let AI agents create multiple databases without crushing enterprise budgets.
The second major investment targets Agent Bricks, Databricks' AI agent platform also launched in June. While competitors chase artificial general intelligence, Ghodsi sees bigger opportunity in mundane enterprise tasks. "Everybody's super focused on super intelligence," he said. "But that's not what we need in organizations."
Instead of cancer-curing AI scientists, enterprises need reliable agents handling employee onboarding or personalized HR benefits questions. "I think that's a much bigger opportunity, actually, for the worldwide GDP and for organizations," Ghodsi noted, signaling Databricks' pragmatic approach to enterprise AI deployment.
The funding also addresses Silicon Valley's talent war reality. "As you know, it's pretty expensive to hire AI talent right now," Ghodsi smiled, acknowledging the AI poaching wars that have seen Meta reportedly offer $100 million packages to lure OpenAI engineers.
Databricks has now raised approximately $20 billion since its 2013 founding, with employees getting multiple liquidity opportunities through secondary offerings in 2025. Sources close to the company revealed that employee secondary rounds weren't fully subscribed, suggesting confidence in the company's trajectory among staff.
The timing couldn't be more strategic. As enterprise AI adoption accelerates and companies grapple with agent deployment at scale, Databricks is positioning itself as the infrastructure backbone for the next wave of business automation. With Oracle still commanding the traditional database market and Supabase gaining traction among developers, the battle for AI-native database supremacy is just beginning.
Databricks' $1 billion bet on AI agents represents more than just another mega-funding round—it's a calculated assault on one of enterprise software's most entrenched markets. With 80% of new databases now created by AI agents rather than humans, the company is positioning itself at the center of a fundamental shift in how enterprises build and manage data infrastructure. As the AI talent wars intensify and enterprise adoption accelerates, Databricks' massive war chest puts it in prime position to challenge Oracle's four-decade database dominance while competing head-to-head with emerging players like Supabase in the developer-focused database market.
