Just nine months after raising a massive $10 billion—plus an additional $5 billion in debt—Databricks has confirmed another $1 billion funding round at a $100 billion valuation, underscoring the company’s continued momentum in the enterprise data and AI space. The announcement follows speculation that the company was pursuing a significant capital infusion to expand its operations, particularly in the artificial intelligence database sector.
When rumors of the raise first surfaced last month, Databricks CEO Ali Ghodsi told TechCrunch that the funding would primarily support the company’s new AI-focused database, which is positioned as a competitor to Supabase. This database is designed to support AI agents, reflecting the company’s strategy to tap into the rapidly growing market for AI-driven data infrastructure.
Ghodsi highlighted a striking trend in the evolution of database creation: “A year ago, we saw in the data that 30% of the databases were not created by humans,” he said. “For the first time, they were created by AI agents. And this year, the statistic is 80%.” This shift illustrates the accelerating adoption of AI in enterprise technology and Databricks’ positioning as a key provider of platforms that support this transformation.
The new round was co-led by Thrive Capital—whose founder Joshua Kushner is a personal friend of Ghodsi—and Insight Partners, one of Databricks’ early investors. Both firms also co-led the previous $10 billion raise, signaling continued confidence in the company’s trajectory and market potential. Insight Partners managing director John Wolff told TechCrunch in an emailed statement that the firm has closely observed Databricks’ rapid growth to $4 billion in annual recurring revenue. “We have seen many of our portfolio companies adopt Databricks,” Wolff said, underscoring the platform’s broad enterprise appeal and entrenched position in large-scale data infrastructure.
Databricks’ valuation milestone of $100 billion positions it among the most valuable private technology companies globally and underscores the enormous investor appetite for businesses that combine big data, analytics, and artificial intelligence capabilities. The company’s strategy to integrate AI into database management and operational workflows reflects a broader industry trend in which enterprises are increasingly relying on AI agents to automate complex tasks and generate insights from large datasets.
The new funding will likely accelerate product development, expand the company’s go-to-market operations, and bolster its competitive positioning against both traditional database providers and newer cloud-native platforms such as Supabase. Analysts and investors are watching closely to see how Databricks leverages this latest infusion to maintain its growth trajectory and sustain adoption among enterprise customers, particularly as AI adoption continues to reshape enterprise IT infrastructure and operational workflows.
With $4 billion in ARR and a substantial capital base, Databricks is poised to continue its rapid expansion, particularly in AI-enabled data services and next-generation analytics. The company’s ability to scale these offerings while maintaining enterprise trust and integration with existing IT ecosystems will likely be a defining factor in its long-term market dominance.
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