ClickHouse® is a real-time analytics DBMS
Go to file
alexey-milovidov 2ecfe7068a
Merge pull request #30577 from azat/doc-distributed_push_down_limit
Update documentation for distributed_push_down_limit
2021-10-23 22:30:52 +03:00
.github
base
benchmark
cmake Merge pull request #30014 from jinjunzh/master 2021-10-22 14:16:47 +03:00
contrib
debian
docker
docs Update settings.md 2021-10-23 22:30:42 +03:00
programs Add placeholder to play.html inputs 2021-10-21 18:49:20 +03:00
src Merge pull request #30477 from kssenii/postgres-fix-query 2021-10-23 19:07:34 +03:00
tests Merge pull request #30266 from CurtizJ/aggregation-in-order-4 2021-10-23 18:09:17 +03:00
utils
website Add hardware benchmark on Macbook Pro M1 2020 2021-10-22 12:28:51 -06:00
.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 Update README.md 2021-10-12 15:38:40 +03:00
release
SECURITY.md
uncrustify.cfg

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 a quick high-level overview of ClickHouse on the main page.
  • 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 with syntax highlight and navigation.
  • Contacts can help to get your questions answered if there are any.