Databricks Surpasses $4 Billion Revenue Run-Rate, Closes $1 Billion Series K Funding
Databricks has announced it has surpassed a $4 billion revenue run-rate, growing over 50% year-over-year, and exceeded a $1 billion revenue run-rate for its AI products. This achievement comes as the company is closing a $1 billion Series K funding round, valuing it at over $100 billion. The investment is co-led by Andreessen Horowitz, Insight Partners, MGX, Thrive Capital, and WCM Investment Management, announced in a press release.
The new capital will be used to accelerate Databricks' AI strategy, including the expansion of its Agent Bricks product and the launch of the new Lakebase category. Agent Bricks is designed to build high-quality, production AI agents optimized on enterprise data, while Lakebase is a new category of operational databases built on open source Postgres and optimized for AI agents. The funding will also support future AI acquisitions and deepen AI research.
Databricks continues to expand its partnerships and infrastructure, having recently launched or expanded collaborations with Microsoft, Google Cloud, Anthropic, SAP, and Palantir. The company has also signed new office leases in San Francisco and Sunnyvale to attract top AI talent.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Enterprise
Subscribe to Enterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more