ClickHouse, an open-source database company focused on real-time analytics, data warehousing, observability, and AI/ML workloads, has raised $400 million in a Series D financing led by Dragoneer Investment Group as the company pushes deeper into AI infrastructure and application monitoring.
The round also included participation from Bessemer Venture Partners, GIC, Index Ventures, Khosla Ventures, Lightspeed Venture Partners, accounts advised by T. Rowe Price Associates, and WCM Investment Management. ClickHouse said the new capital will support global expansion and product development as customers increasingly use the platform to run high-concurrency, low-latency workloads tied to AI applications and production observability.
ClickHouse said it now supports more than 3,000 customers on ClickHouse Cloud and reported annual recurring revenue growth of more than 250% year over year. In recent months, the company said organizations including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted ClickHouse or expanded existing deployments, adding to a broader customer base that includes Meta, Cursor, Sony, and Tesla.
Dragoneer said its investment thesis centers on infrastructure providers closest to production as AI systems transition from experimentation to deployment, increasing the pressure on data platforms to deliver higher query volumes, lower latency, and stronger monitoring and evaluation.
Alongside the financing, ClickHouse announced it has acquired Langfuse, an open-source platform focused on LLM observability and evaluation. ClickHouse positioned the deal as an entry into the fast-growing market for monitoring non-deterministic AI systems, where teams need tooling to trace prompts and agent workflows, evaluate output quality and safety, and iterate based on production behavior. ClickHouse said Langfuse ended 2025 with more than 20,000 GitHub stars and reported more than 26 million SDK installs per month.
ClickHouse also introduced a native, enterprise-grade Postgres service designed to integrate transactional workloads with ClickHouse’s analytical engine. The company said the service will provide managed Postgres backed by NVMe storage, with built-in change data capture to synchronize transactional data into ClickHouse, and a unified query layer enabled through a Postgres extension to span transactions and analytics without managing separate systems. The offering is being built in partnership with Ubicloud, an open-source cloud company focused on managed Postgres.
The company said it is also expanding ecosystem support and geographic reach, pointing to moves including entry into Japan via a partnership with Japan Cloud and a Microsoft Azure partnership tied to OneLake. ClickHouse added that recent product work has included deeper data lake compatibility, broader full-text search capabilities for observability, and new lightweight update features to support more demanding application workloads.
KEY QUOTES:
“ClickHouse was built to deliver exceptional performance and cost efficiency for the most demanding data workloads, and this momentum validates that strategy. As we look toward the future, we are adding support for unified transactional and analytical workloads, so developers can build any type of applications powered by AI on the best technical foundation. And we are expanding our offering to include LLM observability, so AI application builders can evaluate the quality and behavior of AI outputs as they move into production. Additional funding, combined with continued product execution, positions us to deliver the leading data and LLM observability platform in the AI era.”
Aaron Katz, CEO, ClickHouse
“Major platform shifts ultimately reward the infrastructure companies that sit closest to production. As models become more capable, the bottleneck moves to data infrastructure. ClickHouse stood out because it delivers the performance, efficiency, and reliability required for AI systems operating at scale.”
“We look for platforms that customers rely on when systems cannot go down, and ClickHouse consistently demonstrated those characteristics.”
Christian Jensen, Partner, Dragoneer Investment Group
“We built Langfuse on ClickHouse because LLM observability and evaluation is fundamentally a data problem. Now, as one team, we can deliver a tighter end-to-end product: faster ingestion, deeper evaluation, and a shorter path from a production issue to a measurable improvement.”
Marc Klingen, CEO, Langfuse
“Postgres and ClickHouse complement each other naturally, and are key for AI applications. Together, we’re delivering an integrated stack that removes complexity for teams, with production-grade Postgres for transactions and ClickHouse for analytics working as one. We’re excited to join forces with ClickHouse at Ubicloud because this is how the open-source ecosystem wins: trusted teams building best-in-class products that work and grow together.”
Umur Cubukcu, Co-CEO and Co-Founder, Ubicloud
