Databricks Raises Over $4 Billion at $134 Billion Valuation
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Databricks Raises Over $4 Billion at $134 Billion Valuation

The Data and AI company surpasses a $4.8 billion revenue run-rate amid strong AI product growth.

12/17/2025
Yassin El Hardouz
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Databricks, a leader in the data and AI sector, has announced a monumental Series L funding round exceeding $4 billion, elevating its valuation to $134 billion. This capital infusion coincides with the company surpassing a $4.8 billion revenue run-rate, showcasing robust financial health and market momentum. The funding is set to accelerate the development of Data Intelligent Applications, positioning Databricks at the forefront of enterprise AI.


A Landmark Funding Round

The investment round was spearheaded by prominent firms including Insight Partners, Fidelity Management & Research Company, and J.P. Morgan Asset Management. They were joined by a consortium of esteemed investors such as Andreessen Horowitz and BlackRock, reflecting widespread confidence in the company's trajectory. This substantial backing underscores the market's belief in Databricks' vision to democratize data and AI for organizations worldwide.

Impressive Financial Trajectory

Databricks' financial performance continues on a remarkable upward trend, achieving a $4.8 billion revenue run-rate and growing over 55% year-over-year. This rapid expansion is complemented by the company's ability to maintain positive free cash flow over the past twelve months. Such financial discipline is a notable achievement for a company operating at this scale and growth velocity.

The company's growth is broadly distributed, with both its AI and Data Warehousing businesses individually crossing a $1 billion revenue run-rate. Furthermore, Databricks boasts a net retention rate exceeding 140% and serves over 700 customers spending more than $1 million annually. These figures illustrate strong customer satisfaction and a durable business model for expansion within its client base.

Fueling the Future of AI Applications

The newly acquired capital is earmarked for strategic investments aimed at empowering customers to build sophisticated Data Intelligent Applications. Databricks will enhance its core product suite to help enterprises harness generative AI using their own proprietary data. This focus addresses a critical need for secure, customized, and scalable AI solutions within the modern business landscape.

Central to this strategy are three key products: Lakebase, Databricks Apps, and Agent Bricks. Lakebase provides a serverless database foundation for AI, while Databricks Apps offers a secure environment for deploying applications. Agent Bricks completes the ecosystem by enabling the creation of high-quality AI agents, offering a unified platform for next-generation software.

Vision for Enterprise AI

According to CEO Ali Ghodsi, the convergence of generative AI and new coding methods is unlocking entirely new enterprise workloads. He emphasized that this investment deepens the company's commitment to providing a unified foundation for building trusted, high-performance AI applications. This vision positions Databricks as a key enabler for companies looking to innovate with their own data assets.

This sentiment is echoed by investors, with John Wolff of Insight Partners expressing deep conviction in Databricks' momentum and future vision. He praised the company for effectively translating AI innovation into tangible enterprise impact and setting a high standard for value creation. This strong investor endorsement validates the company's strategy and its leadership role in the competitive AI market.


Databricks' latest funding round is more than a financial milestone; it is a powerful statement of intent in the evolving AI industry. By combining exceptional financial growth with a clear, forward-looking product strategy, the company solidifies its position as a dominant force. As enterprises increasingly seek to build their own intelligent applications, Databricks' unified platform is poised to capture significant future growth.