Friday, February 6, 2026
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Databricks has crossed a $7 billion annualised revenue run-rate and completed a $5 billion strategic funding round at a $190 billion valuation, giving the enterprise AI company fresh capital to deepen its push into AI agents, databases and governance.

The timing is significant. Databricks says second-quarter revenue grew by more than 80% year on year, while adjusted free cash flow remained positive over the previous 12 months.

The funding is intended to support Lakebase, its serverless Postgres database for AI-agent workloads; Genie, an AI assistant built around enterprise data; and Unity AI Gateway, which provides model routing, governance and cost controls. Chief Executive Ali Ghodsi summed up the demand simply: “They want agents working across their business.”

The stronger signal lies in customer depth rather than the valuation alone. Databricks says more than 1,000 customers now generate annual revenue run-rates of more than $1 million each, with more than 100 exceeding $10 million.

Its Lakehouse data warehousing business has passed a $1.5 billion run-rate and is growing by more than 100% year on year, while Lakebase has exceeded $100 million.

The company’s reported growth trajectory has also accelerated. In February, Databricks reported a $5.4 billion revenue run-rate and growth of more than 65% year on year. Six months later, the run-rate is above $7 billion and reported growth has risen above 80%.

For enterprise technology buyers, the implication is strategic. Databricks is attempting to turn adoption of AI agents into a broader platform sale spanning operational data, analytics, model access and governance.

That approach could simplify enterprise architecture by reducing the number of systems companies need to manage. It also creates a trade-off: concentrating more data and AI workloads with a single supplier can increase dependence on that platform and make future switching more difficult.

The next test is whether Lakebase and Genie can scale as quickly as Databricks’ core data business, and whether AI use in production can sustain expectations implied by a $190 billion private market valuation.

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