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Databricks Surpasses $4B Revenue Run-Rate, Exceeding $1B AI Revenue Run-Rate

Insider Brief

  • Databricks surpassed a $4B revenue run-rate in Q2 with >50% YoY growth, while its AI products crossed a $1B run-rate and the company achieved positive free cash flow.
  • The company is raising $1B in a Series K round at a $100B+ valuation, co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, and WCM Investment Management.
  • New capital will fuel Databricks’ AI strategy, including scaling Agent Bricks, launching Lakebase, expanding global growth, and pursuing AI-focused acquisitions and research.

PRESS RELEASE — Databricks, the Data and AI company, announced it has crossed a $4 billion revenue run-rate during Q2, growing >50% year over year. Databricks’ AI products also recently crossed a $1 billion revenue run-rate. The company has also achieved positive free cash flow over the last 12 months. Finally, the company is closing its Series K funding, raising $1 billion of capital. This investment values the company at over $100 billion and is co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, and WCM Investment Management.

Databricks’ Recent Performance
This new investment comes on the heels of strong momentum for Databricks, which includes:

  • Surpassing $4 billion revenue run-rate, growing >50% year over year.
  • Recently exceeding $1 billion revenue run-rate for its AI products.
  • Achieving positive free cash flow over the last 12 months.
  • Net retention rate sustaining >140%.
  • 650+ customers consuming at over $1 million annual revenue run-rate.

Series K Investment
Databricks will use the new capital to accelerate its AI strategy — expanding Agent Bricks, launching the new Lakebase category, and fueling global growth. At the June Data + AI Summit, Databricks introduced a new product, Agent Bricks, which builds high-quality, production AI agents optimized on your enterprise data, and Lakebase, a new category of operational databases (OLTP) built on open source Postgres, and optimized for AI agents. The investment will also support future AI acquisitions and deepen AI research.

“Our teams are putting up these results by building the data and AI infrastructure enterprises will rely on for decades,” said Ali Ghodsi, Co-Founder and CEO of Databricks. “With this new capital, we can move even faster with Agent Bricks, helping customers in every industry turn their data into production AI agents, and carry more momentum as we create the new Lakebase category, reinventing databases for AI agents.”

Continued Momentum
Databricks’ new capital comes amid increasing growth and expansion. During the two prior quarters, Databricks launched or expanded partnerships with Microsoft, Google Cloud, Anthropic, SAP, and Palantir. Additionally, this year the company signed new office leases in San Francisco and Sunnyvale to attract top AI talent.

The Databricks Data Intelligence Platform democratizes access to data and AI, making it easier for organizations to harness the power of their data for analytics and AI apps and agents. Built on an open source foundation, the platform enables organizations to drive innovation to increase revenue, lower costs, and reduce risk. 

About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake, MLflow, and Unity Catalog. To learn more, follow Databricks on X, LinkedIn and Facebook.

SOURCE

James Dargan
About the author
James Dargan

James Dargan is a writer and researcher at The AI Insider. His focus is on the AI startup ecosystem and he writes articles on the space that have a tone accessible to the average reader.

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