ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

ClickHouse manages extremely large volumes of data in a stable and sustainable manner. It currently powers Yandex.Metrica, world’s second largest web analytics platform, with over 13 trillion database records and over 20 billion events a day, generating customized reports on-the-fly, directly from non-aggregated data. This system was successfully implemented at CERN’s LHCb experiment to store and process metadata on 10bn events with over 1000 attributes per event registered in 2011.

Code Quality Rank: L1
Programming language: C++
License: Apache License 2.0
Tags: RDBMS     database     DBMS     Column Orientated    
Latest version: v22.3-lts

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ClickHouse — open source distributed column-oriented DBMS

ClickHouse® is an open-source column-oriented database management system that allows generating analytical data reports in real-time.

Useful Links

  • Official website has a quick high-level overview of ClickHouse on the main page.
  • ClickHouse Cloud ClickHouse as a service, built by the creators and maintainers.
  • Tutorial shows how to set up and query a small ClickHouse cluster.
  • Documentation provides more in-depth information.
  • YouTube channel has a lot of content about ClickHouse in video format.
  • Slack and Telegram allow chatting with ClickHouse users in real-time.
  • Blog contains various ClickHouse-related articles, as well as announcements and reports about events.
  • Code Browser (Woboq) with syntax highlight and navigation.
  • Code Browser (github.dev) with syntax highlight, powered by github.dev.
  • Contacts can help to get your questions answered if there are any.

Upcoming events

  • v22.11 Release Webinar Original creator, co-founder, and CTO of ClickHouse Alexey Milovidov will walk us through the highlights of the release, provide live demos, and share vision into what is coming in the roadmap.
  • ClickHouse Meetup at the Deutsche Bank office in Berlin Hear from Deutsche Bank on why they chose ClickHouse for big sensitive data in a regulated environment. The ClickHouse team will then present how ClickHouse is used for real time financial data analytics, including tick data, trade analytics and risk management.
  • AWS re:Invent Core members of the ClickHouse team -- including 2 of our founders -- will be at re:Invent from November 29 to December 3. We are available on the show floor, but are also determining interest in holding an event during the time there.