Databricks achieves a revenue run rate of $5.4 billion and secures a valuation of $134 billion.

      Databricks is experiencing a year that many enterprise software firms would secretly admire. The data and AI platform reports it has achieved a $5.4 billion annual revenue run rate, with a remarkable 65% growth year over year, during a period when the sector's growth has noticeably slowed.

      Such momentum is atypical for a private firm, which explains why investors continue to invest in Databricks, even as funding becomes increasingly selective. The company claims to have raised over $7 billion in total capital, including recent equity investments that place its valuation at $134 billion, along with a substantial debt facility to aid long-term growth.

      The driving force behind these figures isn't solely traditional data analytics. Databricks asserts that approximately $1.4 billion of its revenue run rate now stems from AI-related offerings, highlighting how swiftly businesses are working to convert large datasets into usable formats for machine learning and generative AI. Instead of developing separate infrastructures for data and AI, many clients are choosing platforms that integrate both.

      The heart of EU tech The latest developments from the EU tech industry, a tale from our esteemed founder Boris, and some dubious AI-generated art. It's complimentary, delivered weekly to your inbox. Sign up now! Practically speaking, this means Databricks is focusing on tools that simplify complex data systems. Solutions like Genie, which allows users to query data using straightforward language, and Lakebase, a new operational database tailored for AI-driven applications, aim to reduce the gap between raw data and practical application.

      While Databricks remains a private company, its size increasingly places it alongside public cloud leaders. "We’re experiencing significant investor interest in our next phase as we pursue two new markets," said Ali Ghodsi, the co-founder and CEO of Databricks. "With this fresh capital, we’ll enhance Lakebase so developers can create operational databases designed for AI agents. Concurrently, we’re investing in Genie to enable every employee to engage with their data, fostering accurate and actionable insights."

      Moreover, Databricks' figures cut through the surrounding noise related to enterprise AI. While many businesses are still discussing transformation, this growth indicates that organizations are already investing in the less glamorous aspects—cleaning data, connecting systems, and making AI functional within actual enterprises. If this trend persists, the next stage of AI may not be characterized by new models or impressive demonstrations, but by which platforms gradually become indispensable. Databricks is clearly positioning itself to be one of them.