Databricks data warehousing sales hit a $1.5B run rate as AI demand accelerates growth 

Databricks data warehousing is rewriting the enterprise software playbook in 2026. In February 2026, Databricks crossed a $5.4 billion revenue run rate, delivering over 65% year-over-year growth in Q4. The company’s data warehousing unit, powered by Databricks SQL, has become a billion-dollar business in its own right. Enterprise customers alone account for at least $1.5 billion in revenue, with AI products hitting a $1.4B run rate and expanding 40% quarter-over-quarter. For context, this growth happened while Databricks remained free cash flow positive, a rare combination in enterprise tech today. 

Databricks Data Warehousing: From Zero to $1B+ in Four Years

Databricks achieved a $1 billion revenue run rate for its Data Warehousing product in less than four years from general availability. That is a steep growth curve by any measure. Databricks SQL, the company’s product that competes most directly with Snowflake, scaled from a $600 million run rate in December 2024 to a $1 billion target by January 2026. 

Key milestones in Databricks SQL’s growth:

• April 2023: Databricks SQL hit $100M in ARR just one year after launch
• December 2024: Run rate reached $600M, up 150%+ year-over-year
• Q3 2025 (October): Crossed the $1B revenue run-rate milestone
• February 2026: Enterprise segment implied a run rate exceeding $1.5B

Total Revenue Momentum Tells a Bigger Story

In December 2025, Databricks crossed a $4.8 billion revenue run rate, growing over 55% year-over-year, while simultaneously delivering over $1 billion run rates from both its Data Warehousing and AI products. Growth then accelerated. By February 9, 2026, the company crossed $5.4 billion in revenue run rate, with AI products alone reaching a $1.4 billion run rate and over 800 customers spending more than $1 million annually. 

The numbers that define this run:

• Q2 2025: $4B run rate, 50%+ YoY growth
• Q3 2025: $4.8B run rate, 55%+ YoY growth
• Q4 2025: $5.4B run rate, 65%+ YoY growth
• Net dollar retention: Above 140% consistently

How Databricks Stacks Up Against Snowflake (SNOW)

The Databricks data growth story is sharpest when compared to its closest rival. Snowflake carries a market cap of roughly $83 billion as of June 2026, posting Q1 fiscal-2026 product revenue of $996.8 million, up 26% year-over-year. Databricks, still private, is valued at $134 billion and growing at 65%. Databricks SQL competes directly for the data warehouse budget, while Snowflake pushes back with its Cortex AI features and Apache Iceberg support. The valuation gap- a private company worth more than double its public rival reflects where the market thinks momentum is heading. 

AI Products and Lakebase Are the Next Growth Engine

Lakebase, Databricks’ serverless Postgres database built for AI agents, already has thousands of customers in its first six months and is growing revenue at twice the pace of its Data Warehousing product. That matters. Databricks plans to use new funding to accelerate Lakebase and Genie, its conversational AI assistant that lets any employee interact directly with their data. With AI infrastructure spending accelerating across enterprise markets, Databricks data products are well-positioned to capture a growing share. 

Funding and Valuation Signal Market Confidence

Databricks completed over $7 billion in investments, including approximately $5 billion in equity financing at a $134 billion valuation and approximately $2 billion in additional debt capacity, announced in February 2026. Key backers include strategic names tied to the AI economy. Investors include NVIDIA (NVDA), Microsoft (MSFT), Andreessen Horowitz, T. Rowe Price, BlackRock, and Thrive Capital, a lineup that signals broad institutional confidence in the platform’s long-term value. 

Disclaimer:

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