Databricks Raises $5 Billion at $190 Billion Valuation as Run Rate Exceeds $7 Billion

Databricks has secured $5 billion in fresh funding at a $190 billion valuation, powered by surging enterprise appetite for artificial intelligence infrastructure. The financing round pushes the private enterprise software giant's valuation higher amid rapid expansion across its data analytics and AI product suites, as first reported by Tech Startups.

The latest capital injection arrives shortly after the company closed a funding round at an $188 billion valuation less than a month ago, and follows a $5 billion equity and $2 billion debt financing deal finalized six months prior at a $134 billion valuation. Databricks revealed that its annual revenue run rate has now topped $7 billion, supported by year-over-year revenue expansion exceeding 80% during its second quarter.

Lead backers for the round include Coatue, Blackstone, MGX, T. Rowe Price, and Sixth Street Growth. The San Francisco-based firm plans to direct the new capital toward expanding its enterprise AI offerings, helping corporate clients connect proprietary data repositories with automated AI agents and large language models.

In an interview with CNBC's Jon Fortt, Databricks Chief Executive Officer Ali Ghodsi described customer demand as exceptionally strong, noting that organizations across sectors are prioritizing the deployment of autonomous AI workflows. Ghodsi noted that as companies scale token usage, corporate financial leaders have become increasingly focused on controlling model costs, driving interest in management tools like AI Gateway and business-focused agents like Genie.

The firm, which originated in 2013 out of research at the University of California, Berkeley by the creators of Apache Spark, now employs approximately 8,000 workers. Several product milestones were highlighted alongside the financing: Lakebase, an AI agent database platform, surpassed a $100 million run rate, while the Lakehouse data warehousing business exceeded a $1.5 billion run rate.

With a private market capitalization now outpacing public competitor Snowflake, Databricks remains one of Silicon Valley's most anticipated initial public offering candidates. However, despite recent listing activity including SpaceX's public debut and confidential IPO filings from artificial intelligence developers OpenAI and Anthropic, Ghodsi indicated the company is in no rush to enter public markets.

Addressing public listing timing, Ghodsi told CNBC that remaining private allows the executive team to maintain operational focus without the distractions of public market volatility. With abundant private capital and sustained top-line growth driven by enterprise AI adoption, Databricks retains significant flexibility as it evaluates its long-term financial roadmap.