Databricks hits $5.4B revenue run rate amid AI product push

On Monday, Databricks announced its latest financial figures, highlighting its position as a cloud data warehouse provider expanding into artificial intelligence. The company reported a $5.4 billion revenue run rate—projected annual revenue based on current performance—representing 65% year-over-year growth. Of this total, more than $1.4 billion came from its AI products.

To break down the company’s financial metrics:

• Revenue run rate: $5.4 billion
• Year-over-year growth: 65%
• AI product revenue: More than $1.4 billion
• Closed funding round: $5 billion
• Valuation: $134 billion
• Loan facility: $2 billion

Ali Ghodsi, co-founder and CEO of Databricks, addressed the ongoing debate regarding the future of Software as a Service (SaaS). Ghodsi argued that while AI will soon make traditional SaaS irrelevant by transforming user interfaces, it will not replace the underlying systems of record, which serve as critical business data storage. He questioned why any enterprise would attempt to move its system of record, noting the extreme difficulty of doing so. “Millions of people around the world got trained on those user interfaces. And so that was the biggest moat that those businesses have,” said Ali Ghodsi, co-founder and CEO of Databricks.

Instead of replacing databases, Ghodsi believes AI is simply increasing usage of existing data warehouses by allowing users to interact with data through natural language. Databricks is capitalizing on this shift through products like Genie, its LLM user interface, and Lakebase, a database designed for agents. Genie allows users to query databases using natural language rather than writing complex code. For SaaS companies like Salesforce, ServiceNow, or SAP, this shift means their interfaces may become invisible, functioning more like background plumbing while AI-native alternatives emerge.

Alongside its revenue growth, Databricks officially closed its previously announced $5 billion funding raise, valuing the company at $134 billion, and secured a $2 billion loan facility. Despite the funding, Ghodsi stated that Databricks is not immediately working on another raise, nor prepping for an initial public offering (IPO). He noted that it is currently not a great time to go public, explaining that the capital serves as a protective buffer to ensure many years of runway if financial markets decline.

Why it matters

Databricks is successfully straddling the line between traditional cloud data warehousing and the AI-native landscape, using its massive capital infusion to double down on AI products while maintaining its core enterprise business.