ClickHouse today opened Open House 2026, its second annual user conference, with a set of announcements that mark one of the company’s most active quarters since founding. ClickHouse’s serverless cloud offering has crossed over $250 million in annual run-rate revenue — more than triple a year ago — and added more than 1,000 net new customers since January, bringing its total to 4,000. To meet the demands of AI-era workloads, the company also launched ClickHouse Agents, a fully managed agentic analytics service powered by Anthropic’s Claude; published CostBench, an open benchmark comparing the major cloud data warehouses on cost-performance; and introduced House Mates, its first formal partner program.
Growth
When ClickHouse closed its $400 million Series D in January 2026, it had just crossed 3,000 customers. One quarter later, it has surpassed 4,000 and ARR has crossed over $250 million, more than tripling year-over-year. Recent additions and expansions include Capital One, Lovable, Decagon, Polymarket, and Airwallex, joining a base that includes Anthropic, Meta, Cursor, Sony, Tesla, Memorial Sloan Kettering, Lyft, and Instacart.
The customer speakers at Open House 2026 reflect how broadly ClickHouse now sits in the enterprise stack: Visa, Cisco, Intuit, Shopify, DoorDash, Mercado Libre, Vercel, Weights & Biases, Zoox, and Jump Trading. Partner speakers and sponsors include Anthropic, AWS, Google, Microsoft, dbt Labs, Fivetran, Temporal, Hex, and Sigma.
“AI workloads demand the performance and cost efficiency ClickHouse was built for, and the last quarter has made that clearer than ever,” said Aaron Katz, CEO of ClickHouse. “More than 1,000 new customers and a tripling of ARR within months of our Series D tell us this isn’t a cycle, it’s a structural shift in what data infrastructure has to do. What we’re announcing this week is built to extend that lead as AI moves from experiment to production.”
ClickHouse Agents, powered by Claude
ClickHouse Agents is a fully managed agentic analytics service in ClickHouse Cloud, powered by Claude. It is a no-code agent builder that lets anyone define, configure, and ship agents grounded in ClickHouse data. Out of the box, it includes a chat interface, a sandboxed code interpreter, shareable artifacts, skills management, memory, and multi-agent workflows. Agents connect natively to ClickHouse and to any MCP-compatible third-party system, drawing context from across an organization’s stack, including a native integration with the AWS Agent Registry.
ClickHouse Agents is part of a broader set of product investments aimed at the workloads AI applications generate: high-concurrency queries, agent-driven analytics, model-training telemetry, and end-to-end observability of AI systems in production:
- Managed Postgres is in public beta, with native integration to ClickHouse analytics, giving AI applications a single platform for transactional state and high-throughput analytics on the same data.
- AI observability. Managed ClickStack is now available as a fully managed service for infrastructure and model-training observability. Langfuse, acquired in January, provides agent observability — correctness, evaluation, and model-cost tracking for production AI.
- Expanded analytics. Full-text search is generally available, addressing one of the most common observability and AI-grounding workloads. Automatic query optimization now puts ClickHouse on par with established warehouses on TPC-H and other standard JOIN benchmarks.
- ClickHouse Cloud. Agentic onboarding takes new users from sign-up to first production query with no manual schema work. Cross-region replication is now available for enterprise resiliency.
CostBench: the AI era runs on cost-performance
AI workloads run at high concurrency and low latency, which makes cost-performance, not raw speed, the relevant measure for the platforms underneath them. CostBench, launched today, is an open and reproducible benchmark that applies each vendor’s real compute billing model to the same analytical workload, producing directly comparable cost-per-query results across ClickHouse Cloud, Snowflake, Databricks, BigQuery, and Redshift.
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