Skip to content

young-scott/ClickHouse

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

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.

How To Install (Linux, macOS, FreeBSD)

curl https://clickhouse.com/ | sh

Useful Links

Upcoming Events

Also, keep an eye out for upcoming meetups around the world. Somewhere else you want us to be? Please feel free to reach out to tyler clickhouse com.

Recent Recordings

  • Recent Meetup Videos: Meetup Playlist Whenever possible recordings of the ClickHouse Community Meetups are edited and presented as individual talks. Current featuring "Modern SQL in 2023", "Fast, Concurrent, and Consistent Asynchronous INSERTS in ClickHouse", and "Full-Text Indices: Design and Experiments"
  • Recording available: v23.4 Release Webinar Faster Parquet Reading, Asynchonous Connections to Reoplicas, Trailing Comma before FROM, extractKeyValuePairs, integrations updates, and so much more! Watch it now!
  • All release webinar recordings: YouTube playlist

Interested in joining ClickHouse and making it your full time job?

We are a globally diverse and distributed team, united behind a common goal of creating industry-leading, real-time analytics. Here, you will have an opportunity to solve some of the most cutting edge technical challenges and have direct ownership of your work and vision. If you are a contributor by nature, a thinker as well as a doer - we’ll definitely click!

Check out our current openings here: https://clickhouse.com/company/careers

Cant find what you are looking for, but want to let us know you are interested in joining ClickHouse? Email [email protected]!

About

ClickHouse is a free analytics DBMS for big data

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 83.1%
  • Python 5.4%
  • Assembly 5.2%
  • Shell 2.6%
  • C 2.0%
  • CMake 0.8%
  • Other 0.9%