Fundraise

ClickHouse, a Snowflake and Databricks challenger, hits $15bn valuation in $400m round

ClickHouse has secured $400 million in new funding at a reported $15 billion valuation, marking a sharp increase from its $6.35 billion valuation last year. The round was led by Dragoneer Investment Group, reflecting rising investor confidence in AI infrastructure.

Founded in 2021 as a spin-out from Yandex N.V.Dealroom has a profile for this one. Try Dealroom →, ClickHouse develops high-performance database software designed to handle the large and complex datasets required by AI agents and data-intensive workloads. The company positions itself as a challenger to established cloud data platforms such as Snowflake and Databricks, competing on speed, scalability and cost efficiency.

ClickHouse operates an open-source model, monetising primarily through managed cloud services. Its customer base includes large technology companies and fast-growing AI startups such asMeta, Tesla, Capital OneDealroom has a profile for this one. Try Dealroom →, Lovable, Decagon and Polymarket.

Alongside the funding, they announced the acquisition ofLangfuseDealroom has a profile for this one. Try Dealroom →, a startup focused on observability and performance tracking for AI agents. The move signals a broader strategic push beyond core database infrastructure, bringing monitoring and evaluation tools closer to the data layer. Langfuse competes with LangSmith, part of the LangChain ecosystem, highlighting the growing importance of observability as AI agents move into production.

Taken together, the funding and acquisition underscore a wider shift in the data market. As AI workloads become more complex and continuous, demand is rising for databases and tooling that can support real-time analytics, agent workflows and large-scale model-driven applications. ClickHouse’s latest round positions it to compete more aggressively in that landscape, as enterprises reassess how their data infrastructure needs to evolve for AI.

Sources:
Reuters
The Economic Times
TechCrunch
Bloomberg

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