ClickHouse® is a real-time analytics DBMS
Go to file
alexey-milovidov 4629f78da7
Merge pull request #9507 from filimonov/kafka_write_suffix_exception
Proper processing of exception in write_suffix in Kafka
2020-03-05 00:15:07 +03:00
.github
base Merge pull request #9472 from ClickHouse/memory-profiler-fix 2020-03-03 15:16:45 +03:00
cmake
contrib Update base64 2020-03-04 01:51:57 +03:00
dbms Merge pull request #9507 from filimonov/kafka_write_suffix_exception 2020-03-05 00:15:07 +03:00
debian
docker performance comparison 2020-03-03 16:39:23 +03:00
docs Merge pull request #9358 from hczhcz/patch-0226 2020-03-03 03:27:23 +03:00
utils Ensure the number of empty lines 2020-03-03 05:45:20 +03:00
website
.clang-format Fixed wrong code around Memory Profiler 2020-03-03 03:24:44 +03:00
.editorconfig
.gitattributes
.gitignore
.gitlab-ci.yml
.gitmodules
.potato.yml
.vimrc
AUTHORS
CHANGELOG.md
CMakeLists.txt
CONTRIBUTING.md
docker-compose.yml
format_sources
LICENSE
PreLoad.cmake
README.md
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 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.
  • Blog contains various ClickHouse-related articles, as well as announces and reports about events.
  • 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.

Upcoming Events