Databricks Raises Over $4 Billion as AI and Data Business Soars to $4.8B Run Rate

Databricks Raises Over $4 Billion

Databricks,​‍​‌‍​‍‌​‍​‌‍​‍‌ the data and AI software company based in the U.S., has unveiled a new Series L funding round of over $4 billion as a result of which the company is valued at roughly $134 billion. The new round is a clear sign of the increasing confidence of investors in Databricks in response to the rising demand for the company’s products that enable enterprises to use data and AI efficiently.

Databricks is on a revenue rampage. It recorded an annual revenue run rate of $4.8 billion in the third quarter of 2025, which is a 55-plus percent year-over-year growth. In fact, both AI products and data warehousing services have exceeded $1 billion individually in the run rate. It indicates that Databricks is widely adopted by enterprises for data-driven applications.

The funding round was primarily supported by Insight Partners with the assistance of Fidelity, J.P. Morgan Asset Management and other leading institutional investors. The funds raised will be used by Databricks to grow its platform, invest more in research, acquire companies strategically, and enable employees to sell shares in the secondary market.

Databricks is a company that offers cutting-edge AI solutions for enterprises while at the same time being a leader in the data analytics space. Its products provide customers with the ability to integrate data engineering, analytics, and generative AI under one roof. Besides, it keeps on innovating in areas such as agent-based intelligence and scalable AI applications that facilitate businesses in creating tailored solutions using their data.

This company has been a big hitter in private tech globally which was further evidenced by the recent round of funding. It is a big bet on the future when these kinds of tools will be the bridge between data infrastructure and AI use cases. As enterprises become more and more data-driven in their decision-making, Databricks’ platform is positioned to be at the core of that ​‍​‌‍​‍‌​‍​‌‍​‍‌transformation.