ClickHouse was developed at Yandex starting in 2009 to power Yandex.Metrica, Russia’s web analytics system that processes billions of events daily. It was open-sourced in 2016, and ClickHouse Inc. was incorporated in 2021 to build a commercial cloud offering around the technology.
The database is columnar, meaning it stores data by column rather than by row. For analytical queries that typically scan specific columns across millions or billions of rows, this design is dramatically faster than row-based databases. ClickHouse adds aggressive compression on top — since values in a column tend to be similar, compression ratios of 10x or more are common.
Performance benchmarks consistently place ClickHouse at or near the top for OLAP query speed. It can scan billions of rows per second on modern hardware, and its vectorized query execution engine squeezes maximum performance from CPU caches and SIMD instructions.
ClickHouse Cloud, the managed service, launched in 2022 and provides the same engine with automatic scaling, built-in backups, and zero operational overhead. It competes directly with Snowflake and BigQuery for cloud analytics workloads.
The use cases span observability (storing and querying logs, metrics, and traces), real-time analytics dashboards, ad tech, financial data analysis, and IoT. Companies like Uber, eBay, Cloudflare, and Deutsche Bank use ClickHouse in production.
ClickHouse supports SQL with extensions for approximate query processing, array manipulation, and window functions. It integrates with the broader data ecosystem through Kafka connectors, dbt support, and compatibility with popular BI tools.
The open-source community is active and growing, with regular releases adding features like lightweight deletes, refreshable materialized views, and improved join performance.
