As artificial intelligence rapidly moves from experimentation to production, the pressure on data infrastructure has never been greater. Modern AI applications demand real-time analytics, massive scalability, low latency, and continuous observability. Addressing this challenge head-on, ClickHouse has raised $400 million in Series D funding, reinforcing its position as a foundational platform for analytics and AI-driven workloads.
A Major Vote of Confidence in Modern Data Infrastructure
The Series D round was led by Dragoneer Investment Group, with participation from Bessemer Venture Partners, GIC, Index Ventures, Khosla Ventures, Lightspeed Venture Partners, accounts advised by T. Rowe Price Associates, Inc., and WCM Investment Management. The investment follows a period of exceptional growth for ClickHouse, a leader in real-time analytics, data warehousing, observability, and AI/ML.
ClickHouse now serves more than 3,000 customers on ClickHouse Cloud, its fully managed service, with annual recurring revenue growing over 250% year over year. In just the past three months, organizations such as Capital One, Polymarket, Airwallex, Lovable, and Decagon have adopted or expanded the platform, joining established customers including Meta, Sony, Tesla, Cursor, and other AI-forward enterprises.
Why ClickHouse Is Built for AI at Scale
AI-powered applications introduce unique infrastructure demands. They generate significantly higher query volumes, require near-instant response times, and depend on continuous evaluation to ensure reliability and accuracy. According to Dragoneer, this shift places data infrastructure closer than ever to production value.
“ClickHouse stood out because it delivers the performance, efficiency, and reliability required for AI systems operating at scale,” said Christian Jensen, Partner at Dragoneer Investment Group.
Unlike traditional analytics platforms that primarily support internal reporting, ClickHouse is frequently embedded directly into customer-facing and AI-driven products, where performance and uptime are mission-critical. By making real-time analytics cost-effective at scale, ClickHouse enables entirely new workloads that were previously impractical due to cost or latency constraints.
Entering LLM Observability with the Langfuse Acquisition
A key pillar of ClickHouse’s expansion strategy is its acquisition of Langfuse, an open-source platform purpose-built for LLM observability. As large language models become increasingly non-deterministic and complex, observability has expanded beyond system metrics to include evaluation of output quality, safety, and alignment with user intent.
Langfuse has seen strong community adoption, closing 2025 with over 20,000 GitHub stars and more than 26 million SDK installs per month. Built on ClickHouse from the start, Langfuse treats LLM observability as a data problem—making the integration a natural fit.
Together, the combined team will deliver faster ingestion, deeper evaluation, and a shorter path from identifying production issues to measurable improvements in AI systems.
A Unified Stack with Native Postgres for Transactions and Analytics
ClickHouse also announced the launch of a native, enterprise-grade Postgres service, designed to unify transactional and analytical workloads for modern AI applications. Built in partnership with Ubicloud, the service offers scalable Postgres backed by NVMe storage, native change data capture (CDC), and seamless synchronization with ClickHouse.
With just a few clicks, teams can sync transactional data into ClickHouse and achieve up to 100x faster analytics, all through a unified query layer powered by a native Postgres extension. This integrated approach eliminates the operational complexity of managing separate systems for transactions and analytics.
Global Momentum and Continued Innovation
Alongside its financing and acquisitions, ClickHouse continues to expand globally. The company entered the Japanese market through a partnership with Japan Cloud, strengthened its collaboration with Microsoft Azure around OneLake, and hosted user events across North America, Europe, and Asia-Pacific.
Product innovation remains a core focus, with recent investments in data lake compatibility (Apache Iceberg and Delta Lake), enhanced full-text search for observability use cases, and lightweight updates to support demanding AI workloads—all while maintaining industry-leading price-performance benchmarks.
The Road Ahead
With fresh capital, expanded capabilities in LLM observability, and a unified transactional-analytical data stack, ClickHouse is positioned to play a central role in the next generation of real-time analytics and AI infrastructure.
About ClickHouse
ClickHouse is a fast, open-source columnar database management system built for real-time data processing and analytics at scale. Engineered for high performance, ClickHouse Cloud delivers exceptional query speed and concurrency, making it ideal for applications that demand instant insight from massive volumes of data. As AI agents become increasingly embedded in software and are generating far more frequent and complex queries, ClickHouse brings a high-throughput, low-latency engine, purpose-built to meet this challenge. Trusted by leading companies like Sony, Tesla, Memorial Sloan Kettering, Lyft, and Instacart, ClickHouse helps teams unlock insights and drive smarter decisions with a scalable, efficient, and modern data platform. For more information, visit clickhouse.com.
About Dragoneer Investment Group
Dragoneer is a growth-oriented investment firm founded with over $30 billion in assets under management. The firm partners with founders and management teams building category-defining companies in both the public and private markets. More than 50 Dragoneer-backed companies have gone public. Dragoneer investments include Airbnb, Amwins, Atlassian, Databricks, Datadog, Meta, Nubank, OpenAI, Revolut, ServiceNow, Snowflake, Spotify, and Uber.
About Langfuse
Langfuse is an open-source platform for building, testing, and monitoring LLM applications/agents. Teams use Langfuse to trace and debug agent workflows, run evaluations, and continuously measure and improve the quality of AI outputs in production. Langfuse is available as a managed cloud service and can be self-hosted at production scale. Langfuse is one of the fastest growing LLM engineering platforms, with 20,470 GitHub stars, 26M+ SDK installs per month, and 6M+ Docker pulls, and is trusted by 19 of the Fortune 50 and 63 of the Fortune 500 companies. For more information, visit langfuse.com.
About Ubicloud
Ubicloud is building the open-source AWS, delivering core cloud services across bare metal and public clouds. Founded by the team that built distributed PostgreSQL with Citus Data (acquired by Microsoft), Ubicloud’s flagship database offering, Ubicloud PostgreSQLprovides an enterprise-grade managed Postgres experience with industry-leading price-performance. Ubicloud services across AI, Compute, PostgreSQL, and Kubernetes power more than 1 million VMs every week, cutting cloud costs by up to 70%. Ubicloud is backed by Y Combinator and other prominent Silicon Valley investors. To learn more, follow Ubicloud on Twitter @ubicloudHQ or visit ubicloud.com.
