Databricks has signed a term sheet for a new strategic funding round at a $188 billion valuation, led by existing investor Coatue, with the deal expected to close later this summer1,4. The company has not disclosed the total size of the round, though the Wall Street Journal reported it will add approximately $3 billion to Databricks' balance sheet3. Databricks said the money has not yet been received.
The valuation represents a 40% increase in five months from the $134 billion mark set during a $7 billion raise in February 2026, and an 88% rise in under a year2. In September 2025, Databricks raised $1 billion at a $100 billion valuation, and in December 2024 it raised $10 billion at $62 billion. The company has raised approximately $20.2 billion to date.
New capital is earmarked for three AI-focused products: Unity AI Gateway, Genie, and Lakebase. Databricks describes Unity AI Gateway as a multi-model governance layer that lets enterprises control which AI models handle which workloads while monitoring cost and security. Genie is positioned as an AI interface that converts business data into answers and automated actions for frontline teams. Lakebase is a serverless Postgres database built specifically for AI agent workloads. The company also rolled out Omnigent, a meta-harness that manages multiple agents.
Databricks disclosed in February 2026 that it had surpassed a $5.4 billion annual revenue run rate, up 65% from the prior year. Its AI products alone generated $1.4 billion in annualized revenue. The company counts 70% of the Fortune 500 among its customers, with more than 20,000 organizations globally using the platform.
Coatue has backed Databricks since its Series E in 2019. The investor's broader AI portfolio includes stakes in OpenAI and Anthropic; Coatue co-led Anthropic's $65 billion Series H in May 2026. Databricks' cap table also includes Andreessen Horowitz, Insight Partners, Goldman Sachs, JPMorgan Chase, Morgan Stanley, Thrive Capital, the Qatar Investment Authority, and Blackstone.
CEO Ali Ghodsi has privately signaled to investors that Databricks remains on a path toward an IPO, potentially as early as 2027, though he has called 2026 "the worst year to go public" given the volume of high-profile listings already scheduled. The company, founded in 2013 by seven academics from UC Berkeley to commercialize Apache Spark, employs approximately 9,000 people globally and is headquartered in San Francisco.
Databricks faces competition from multiple directions. Snowflake is building a similar position with its Cortex AI platform, which offers model routing and data governance bundled into its existing data warehouse; Snowflake has a market cap of roughly $90 billion. Microsoft is embedding Copilot and Azure AI Foundry directly into enterprise software contracts, while Google's Vertex AI platform and AWS SageMaker give hyperscaler customers managed model hosting.
ANALYSIS The investment thesis centers on the AI governance and orchestration layer rather than model development itself — Databricks' tools are designed to work across models from multiple providers simultaneously, positioning the company as infrastructure that sits above the model builders.