ClickHouse® is a real-time analytics DBMS
Go to file
2021-05-07 15:37:29 -04:00
.github
base Fix clang-tidy 2021-05-05 13:37:14 +03:00
benchmark
cmake
contrib Update to librdkafka 1.6.1 2021-05-04 10:05:12 +02:00
debian
docker gcc-10 installation no-install-reccomends option fix 2021-05-01 16:17:42 +03:00
docs Update index.md 2021-05-06 18:40:52 +03:00
programs Merge pull request #23884 from azat/bash-completion 2021-05-05 13:43:44 +03:00
src Simplification 2021-05-06 18:34:12 +03:00
tests Fixing SRS reference and updating requirements. 2021-05-07 15:37:29 -04:00
utils
website
.arcignore
.clang-format
.clang-tidy
.editorconfig
.gitattributes
.gitignore
.gitmodules
.potato.yml
.pylintrc
.vimrc
.yamllint
AUTHORS
CHANGELOG.md
CMakeLists.txt
CODE_OF_CONDUCT.md
CONTRIBUTING.md
docker-compose.yml
format_sources
LICENSE
PreLoad.cmake
README.md
release
SECURITY.md
uncrustify.cfg
ya.make

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.

  • Official website has quick high-level overview of ClickHouse on main page.
  • Tutorial shows how to set up and query 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 to chat with ClickHouse users in real-time.
  • Blog contains various ClickHouse-related articles, as well as announcements and reports about events.
  • Code Browser with syntax highlight and navigation.
  • Contacts can help to get your questions answered if there are any.
  • You can also fill this form to meet Yandex ClickHouse team in person.