|author||Clint Wylie <email@example.com>||Mon Oct 26 23:14:07 2020 -0700|
|committer||GitHub <firstname.lastname@example.org>||Mon Oct 26 23:14:07 2020 -0700|
update quickstart docker-compose example, add to release instructions (#10527) * update quickstart docker-compose example, add to release instructions * adjust * spelling
Druid is a high performance real-time analytics database. Druid's main value add is to reduce time to insight and action.
Druid is designed for workflows where fast queries and ingest really matter. Druid excels at powering UIs, running operational (ad-hoc) queries, or handling high concurrency. Consider Druid as an open source alternative to data warehouses for a variety of use cases.
Manage your cluster with ease. Get a view of your datasources, segments, ingestion tasks, and services from one convenient location. All powered by SQL systems tables, allowing you to see the underlying query for each view.
If you would like to contribute documentation, please do so under
/docs in this repository and submit a pull request.
Community support is available on the druid-user mailing list, which is hosted at Google Groups.
Chat with Druid committers and users in real-time on the
#druid channel in the Apache Slack team. Please use this invitation link to join the ASF Slack, and once joined, go into the
Please note that JDK 8 is required to build Druid.
For instructions on building Druid from source, see docs/development/build.md
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ dev/intellij-setup.md