Databricks Closes $4B New Round as Enterprise AI Demand Accelerates

Databricks is once again stretching the boundaries of what’s possible in the private markets. Even as the IPO window begins to show signs of reopening, the data and AI company has opted to remain private, securing more than $4 billion in a Series L round that values the business at $134 billion. That figure represents a striking jump from the roughly $100 billion valuation reached just three months ago, highlighting the surging investor demand for enterprise AI infrastructure.

This marks Databricks’ third major capital raise in less than a year and reinforces a clear strategic ambition: to cement its position as a core platform for building and operating AI-driven applications inside large organizations. In recent months, the company has accelerated product development around generative AI and the rise of “vibe coding,” where developers increasingly rely on AI systems to write, refine, and scale software.

At the center of this push is Lakebase, a new database built on Postgres and designed specifically for AI agents. The product has been significantly bolstered by Databricks’ $1 billion acquisition of Neon. Complementing it is Agent Bricks, which enables enterprises to design and deploy AI agents capable of securely accessing and acting on internal data—an increasingly critical requirement as AI moves deeper into core business workflows.

Databricks has also moved to tightly integrate best-in-class AI models into its enterprise stack, signing large commercial agreements with OpenAI and AnthropicDealroom has a profile for this one. Try Dealroom →. These partnerships allow customers to run advanced models directly within the Databricks environment, strengthening the company’s role as the connective layer between enterprise data and AI-powered applications.

The financial performance underpinning this strategy is equally compelling. Databricks reports more than $4.8 billion in annualized revenue, representing 55% year-over-year growth, with over $1 billion now attributed to AI-focused products. That level of scale and momentum helps explain why investors are backing a late-stage round of this magnitude—still a rarity, even in a more receptive funding climate.

According to the company and reporting from The Wall Street JournalDealroom has a profile for this one. Try Dealroom → , the fresh capital will be deployed to expand Databricks’ global presence, including the hiring of thousands of employees across Asia, Europe, and Latin America, alongside increased investment in AI research and development. The round was led by Insight Partners, Fidelity, andJ.P. Morgan Asset ManagementDealroom has a profile for this one. Try Dealroom →, with participation from a broad group of leading venture and institutional investors.

For the moment, Databricks appears in no rush to go public. With ample private capital, rapidly growing revenue, and a product roadmap closely aligned with enterprise AI adoption, the company is demonstrating that for the largest and most strategically positioned tech firms, private markets can still offer both scale and strategic freedom—without the constraints of the public spotlight.

Source:
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