Database software company ClickHouse has secured $400 million in fresh funding at a valuation of $15 billion, underscoring strong investor confidence in infrastructure tools powering artificial intelligence workloads. The deal represents roughly a 2.5-times jump from the company’s $6.35 billion valuation in May last year.
The latest financing round was led by Dragoneer Investment Group, with participation from a group of prominent global investors including Bessemer Venture Partners, GIC, Index Ventures, Khosla Ventures, and Lightspeed Venture Partners. ClickHouse said the capital will be used to expand product development, scale its global cloud offering, and deepen integrations with AI-focused tools.
Founded as an internal project and spun out from Russian search giant Yandex in 2021, ClickHouse develops high-performance analytical database software designed to handle the massive data volumes generated by AI agents, real-time analytics, and large-scale applications. The company competes in an increasingly crowded market against cloud data heavyweights such as Snowflake and Databricks.
Alongside the funding announcement, ClickHouse revealed it has acquired Langfuse, a startup that helps developers monitor, trace, and evaluate the performance of AI agents in production. Langfuse operates in the same space as LangChain’s observability platform, LangSmith, and the acquisition signals ClickHouse’s intent to build a more comprehensive AI data and monitoring stack.
ClickHouse’s core database is open source, with revenue generated primarily through its managed cloud services. The company said its annual recurring revenue (ARR) grew more than 250% year-on-year, reflecting surging demand from enterprises building AI-driven products. Its customer base includes major technology and financial players such as Meta, Tesla, Capital One, as well as fast-growing startups including Lovable, Decagon, and Polymarket.
The funding positions ClickHouse as one of the most highly valued private data infrastructure companies, highlighting how AI-driven data needs are reshaping the database market.
