ClickHouse Raises $350 Million in Series C Funding to Revolutionize Real-Time Analytics for the AI Era
In a landmark move that underscores its leadership in real-time analytics and AI-driven data infrastructure, ClickHouse, Inc., a pioneer in data warehousing, observability, and AI/ML solutions, has announced a $350 million Series C funding round. Led by Khosla Ventures, the round includes participation from prominent new investors such as BOND, IVP, Battery Ventures, and Bessemer Venture Partners, alongside existing backers like Index Ventures, Lightspeed, GIC, Benchmark, Coatue, FirstMark, and Nebius. This latest infusion of capital follows earlier investments exceeding $300 million, bringing ClickHouse’s total funding to over $650 million.
To further bolster its financial position, ClickHouse has also secured a $100 million credit facility led by Stifel and Goldman Sachs. This combined funding will fuel product innovation, accelerate global expansion, and deepen partnerships with customers and technology providers at the forefront of building AI-native applications.
Unprecedented Growth and Industry Adoption
ClickHouse’s momentum is undeniable. The company experienced an explosive growth rate of over 300% in the past year alone, expanding its customer base to more than 2,000 organizations across diverse industries, including fintech, transportation, consumer goods, and healthcare. Notable new customers include industry giants like Anthropic, Tesla, and Mercado Libre, joining an impressive roster of clients such as Sony, Meta, Memorial Sloan Kettering, Lyft, and Instacart. Additionally, ClickHouse has become a go-to platform for AI innovators like Sierra, Poolside, Weights & Bases, and Langchain.
This announcement was made during ClickHouse’s inaugural user conference, where enterprises showcased how they are leveraging the platform to build cutting-edge data products tailored to the demands of the agentic era—a period defined by the proliferation of AI agents and intelligent workflows.
Redefining Analytics for the Age of AI
“As AI agents proliferate across data-driven applications—from observability and data infrastructure to real-time decision-making—the demand for agent-facing databases like ClickHouse has reached an inflection point,” said Aaron Katz, CEO of ClickHouse. “The future of analytics isn’t just dashboards. It’s intelligent agents that interpret data, trigger workflows, and power real-time decisions.”
Katz emphasized that while AI is a key driver of this transformation, ClickHouse’s appeal extends far beyond it. Since its inception, the platform has been meticulously designed to support a broad spectrum of real-time data applications across industries. Its ability to scale seamlessly and deliver lightning-fast performance has resonated with enterprises eager to meet their ambitious growth targets.
Ethan Choi, Partner at Khosla Ventures, echoed this sentiment: “We invested in ClickHouse because they’re solving one of the most critical infrastructure challenges of the AI and agent-driven era: enabling real-time data platforms that can support both traditional analytics and the growing demands of AI-native workloads. As AI reshapes every industry, the ability to deliver fast, scalable, and cost-efficient analytics is becoming foundational. ClickHouse is poised to become the default engine for next-generation intelligent data products.”
The Rise of Agent-Facing Databases
The market traction surrounding ClickHouse reflects a fundamental shift in enterprise data strategies. Organizations are no longer content with static dashboards or batch reports; they are building real-time, intelligent data platforms that serve both human analysts and AI agents. Unlike human users, AI agents generate queries at unprecedented speeds and volumes, necessitating databases capable of supporting low-latency, high-throughput analytical queries.
ClickHouse was purpose-built to meet these demands. Its high-performance, columnar storage engine enables interactive analytical queries across massive datasets with minimal latency, making it ideal for powering AI and ML applications, real-time analytics, cloud data warehousing, and observability workloads.
Addressing the Limitations of Traditional Solutions
Traditional databases and data warehouses are struggling to keep pace with the evolving needs of modern enterprises. Transactional databases lack the scalability required for analytical workloads, while legacy data warehouses are optimized for internal, batch-heavy use cases, often suffering from limited concurrency and sluggish performance. Meanwhile, search-oriented technologies are prohibitively expensive for structured analytics, consuming up to 10x more storage and compute resources and restricting the practical range of applications due to cost constraints.
ClickHouse addresses these limitations with a purpose-built solution that bridges the gap between speed, scalability, and cost-efficiency. By combining high-performance analytics with the scalability and concurrency required for today’s intelligent, data-driven applications, ClickHouse empowers organizations to unlock the full potential of their data.
Built for Speed, Scalability, and Versatility
ClickHouse’s architecture is uniquely suited to handle the rigors of modern data workloads. Whether it’s powering real-time analytics for fintech platforms, enabling observability for transportation networks, or supporting AI-driven insights for healthcare providers, ClickHouse delivers unmatched performance across industries. Its ability to process billions of rows per second while maintaining low latency ensures that businesses can make faster, smarter decisions in real time.
As enterprises continue to embrace AI and machine learning, the need for robust, scalable data infrastructure will only grow. With its latest funding and unwavering focus on innovation, ClickHouse is well-positioned to lead this transformation, empowering organizations to thrive in the age of AI.
