ClickHouse® is a real-time analytics DBMS
Go to file
2022-07-13 19:07:28 +02:00
.github
base
benchmark Remove old file 2022-07-12 20:28:02 +02:00
cmake
contrib
docker Update run.sh 2022-07-13 15:22:36 +03:00
docs Change the link to Hardware benchmark script 2022-07-12 20:25:40 +02:00
packages
programs
src merge master and resolve conflicts 2022-07-13 19:07:28 +02:00
tests Merge pull request #39112 from ClickHouse/window-expressions-fix 2022-07-13 18:19:01 +02:00
utils Merge pull request #39065 from ClickHouse/utils-self-extracting-decompressor 2022-07-13 01:50:12 -04:00
website Add ClickHouse with zstd to benchmark 2022-07-12 23:51:12 +02:00
.clang-format add BeforeLambdaBody to .clang-format 2022-02-11 16:51:45 +01:00
.clang-tidy
.editorconfig
.gitattributes
.gitignore
.gitmodules
.pylintrc
.vimrc
.yamllint
AUTHORS
CHANGELOG.md Update CHANGELOG.md 2022-07-01 02:47:15 +03:00
CMakeLists.txt
CODE_OF_CONDUCT.md
CONTRIBUTING.md
format_sources
LICENSE
PreLoad.cmake
README.md
SECURITY.md

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 (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