Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments.
Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
Druid can load both streaming and batch data and integrates with Samza, Kafka, Storm, Spark, and Hadoop.
More information about Druid can be found on http://www.druid.io.
If you would like to contribute documentation, please do so under
/docs/content in this repository and submit a pull request.
You can get started with Druid with our quickstart.
If you find any bugs, please file a GitHub issue.
The Druid community is in the process of migrating to Apache by way of the Apache Incubator. Eventually, as we proceed along this path, our site will move from http://druid.io/ to https://druid.apache.org/.
We also have a couple people hanging out on IRC in
Please follow the guidelines listed here.