ClickHouse, a leading provider of real-time analytics, data warehousing, observability, and AI/ML infrastructure, announced the successful close of a $350 million Series C funding round. The round was led by Khosla Ventures, with new participation from BOND, IVP, Battery Ventures, and Bessemer Venture Partners. Returning investors include Index Ventures, Lightspeed, GIC, Benchmark, Coatue, FirstMark, and Nebius. This latest investment brings ClickHouse’s total funding to over $650 million, following more than $300 million raised in previous rounds.
In addition to the equity financing, ClickHouse also secured a $100 million credit facility backed by Stifel and Goldman Sachs. This significant capital infusion will fuel continued innovation in product development, expand the company’s global footprint, and strengthen strategic partnerships to enable the next generation of AI-powered applications.
The funding announcement coincided with ClickHouse’s inaugural user conference, showcasing how enterprises are leveraging the platform to build intelligent data products tailored for the agentic era.
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“With AI agents taking hold in data-driven applications, observability, data infrastructure and beyond, the demand for agent-centric databases like ClickHouse has reached an inflection point. The future of analytics is much more than dashboards. It’s intelligent agents that interpret data, trigger workflows and support decisions in real time,” said Aaron Katz, CEO of ClickHouse. “But AI is just one driver. We designed and built ClickHouse from day one to support a broad spectrum of real-time data applications across industries, and our momentum reflects the eagerness of enterprises for a platform that can keep pace with their scale-up ambitions.”
“We invested in ClickHouse because they solve one of the most critical infrastructure problems of the AI and agent era: enabling real-time data platforms that can support both traditional analytics and the increasing demands of AI-driven workloads,” said Ethan Choi, Partner at Khosla Ventures. “As AI reshapes every industry, the ability to deliver fast, scalable, and efficient analytics is becoming fundamental. ClickHouse is well on its way to becoming the default engine for next-generation intelligent data products.”
Meeting the Moment: Scaling Real-Time Analytics for Intelligent Agents
As organizations shift from traditional dashboards and static reporting to dynamic, real-time data platforms, ClickHouse is emerging as a foundational component for modern analytics infrastructure. Its ability to handle high-throughput, low-latency workloads makes it uniquely suited for both human users and AI agents that demand rapid, responsive access to complex data sets.
Over the past year, ClickHouse has seen explosive growth — increasing over 300% and now powering data applications for more than 2,000 customers globally. The company’s expanding customer base spans diverse sectors, including fintech, healthcare, transportation, and consumer tech. Recent adopters include Anthropic, Tesla, and Mercado Libre, who join a prestigious list of existing users such as Sony, Meta, Memorial Sloan Kettering, Lyft, Instacart, and AI-forward companies like Sierra, Poolside, Weights & Biases, and LangChain.
Built for the AI Era: A High-Performance Platform Designed to Scale
As the data ecosystem evolves, enterprises face growing challenges with existing infrastructure. Legacy transactional databases often fail to scale effectively for analytics. Traditional storage systems, built for batch processing, fall short on performance. Meanwhile, query-centric technologies incur substantial costs and complexity, consuming up to 10x more resources — making them impractical for modern, high-speed use cases.
ClickHouse addresses this gap with a purpose-built, columnar storage engine optimized for speed, scalability, and efficiency. Its architecture enables high-performance analytics across petabyte-scale datasets, making it ideal for cloud-native environments, machine learning pipelines, and observability systems.
