<cite index="31-2">Databricks closed a $5 billion strategic funding round at a $190 billion valuation, with the data and AI platform reporting it crossed a $7 billion revenue run-rate in Q2 2026 with greater than 80% year-over-year growth.</cite> <cite index="31-1">The round was led by Coatue and included Blackstone, MGX, accounts advised by T. Rowe Price Associates, and new investor Sixth Street Growth, with returning backers such as Andreessen Horowitz, Thrive Capital, Goldman Sachs Alternatives, and Temasek also participating.</cite> The $190B valuation marks a 42% jump from the $134B valuation in December 2024 (when the company raised $4B at $5.4B ARR / 65% growth).
<cite index="31-3">The acceleration to $7 billion in run-rate and greater than 80% growth by Q2 2026 implies a revenue multiple of approximately 27x run-rate at the current valuation, a figure that significantly tightens relative to the prior round.</cite> <cite index="31-4">Databricks' Lakehouse data warehousing product surpassed a $1.5 billion revenue run-rate, growing over 100% year-over-year. Lakebase exceeded a $100 million revenue run-rate. More than 1,000 customers are consuming at over $1 million revenue run-rate, and over 100 have crossed the $10 million threshold.</cite> The capital will fund Lakebase (serverless Postgres for AI agents), Genie (AI coworker), and Unity AI Gateway (multi-AI cost controls).
<cite index="32-2">Databricks' CEO said skyrocketing AI costs are boosting demand for the company's AI Gateway platform and open-source tools, noting a shift where CFOs are now readily adopting Chinese tools despite previous hesitation due to token pricing concerns.</cite> <cite index="31-5">Databricks has repeatedly signaled an eventual IPO but has not set a public timeline. At a $190 billion valuation, any listing would rank among the largest U.S. technology debuts in recent memory.</cite> For architects: Databricks' metric expansion (ARR up 30% YoY from prior round, customer concentration climbing) and product mix shift toward agent infra (Lakebase 100%+ YoY growth from base of ~$100M) signal the market repricing around agent-native databases and cost-governance tools as foundational. The 27x revenue multiple is steep but reflects AI-driven acceleration; compare to Snowflake's ~8x public multiple or CRM peers at 5–10x.