Open-source columnar OLAP database for real-time analytics at scale
ClickHouse operates a dual-revenue model: an open-source columnar database (widely deployed) and a managed cloud service (ClickHouse Cloud). The hiring mix is heavily engineering-focused (107 of 224 roles), with cloud positioning and serverless product work dominating active projects—suggesting the company is scaling its managed offering while addressing support team bottlenecks and incident-management load. Tech stack (Go, Python, C++, Kubernetes) reflects a mature infrastructure company; adoption of PostgreSQL, GCP, and Azure hints at expanding cloud-native infrastructure.
ClickHouse builds an open-source columnar database system optimized for analytical queries on large datasets, with documented throughput of hundreds of millions to over a billion rows per second per server. The company operates a commercial cloud service (ClickHouse Cloud) running on AWS, GCP, and Azure. Engineering and go-to-market teams are distributed across the US, Europe, and Asia-Pacific. The company is actively scaling support processes, improving cloud service reliability, and driving adoption of the managed offering alongside sustained open-source community engagement.
Core: Go, C++, Python. Frontend: TypeScript, React, Node.js. Infrastructure: Kubernetes, Linux, PostgreSQL, MongoDB. Cloud: AWS, GCP, Azure. Data: Snowflake, BigQuery. DevOps: Turbo, Nx, Yarn.
Palo Alto, California, with an additional office in Amsterdam. The company hires across 17 countries including US, Canada, Germany, UK, India, and Australia.
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