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Databricks passes $7B run rate as growth accelerates to 80%
The data and AI platform paired the milestone with a $5 billion funding round at a valuation of approximately $190 billion
Databricks says its annualized revenue run rate now tops $7 billion. Year-over-year growth in the second quarter came in above 80%.
The milestone was announced around August 13, 2026. It arrived alongside a $5 billion strategic funding round that lifted the company’s valuation to approximately $190 billion.
The numbers, quarter by quarter
A run rate is a snapshot that gets stretched into a year. You take current revenue and project it over twelve months. It is not the same as audited annual revenue, but it shows how fast the business is moving right now.
On that measure, Databricks has been climbing steadily. In December 2025, the company reported a $4.8 billion run rate with growth of more than 55%.
By February 2026, the figure had reached $5.4 billion. Growth at that point was above 65%.
Now it is past $7 billion, with growth above 80%. Every stage brought a larger revenue base and a faster growth rate.
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The research behind the announcement credits enterprise demand for the company’s AI products. It also points to demand for platforms that support AI-driven analytics.
What Databricks actually sells
The company is known for its data lakehouse architecture. In plain terms, it aims to keep a company’s data in one place where analytics and AI tools can work on it together.
Andreessen Horowitz has been making that case publicly. In a piece published on a16z.news, Ben Horowitz and Mike McGhee argue that the Databricks platform will help companies put AI agents to work.
Their argument goes beyond automation. Horowitz and McGhee say the platform could also give employees more decision-making power. The pitch is that workers with better access to data can take initiative without waiting for approval through layers of management.
Why the $190 billion valuation matters
The funding round is arguably as important as the revenue milestone. A $5 billion raise at a valuation of approximately $190 billion shows investors are still willing to pay heavily for AI infrastructure.
There are risks. A run rate projects current momentum forward, and momentum can fade. The valuation also assumes this growth continues for a long time, which is a heavy assumption to place on any company.
The key thing to watch is whether the acceleration holds. Growth moved from above 55% to above 65% to above 80% over roughly three reporting points.