Druid is a distributed, column-oriented, real-time analytics data store
that is commonly used to power exploratory dashboards in multi-tenant
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.
Druid alternatives and similar libraries
Based on the "Distributed Databases" category
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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.
You can get started with Druid with our quickstart.
Manage the cluster
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
Building from source
Please note that JDK 8 is required to build Druid.
For instructions on building Druid from source, see [docs/development/build.md](docs/development/build.md)
Please follow the community guidelines for contributing.
For instructions on setting up IntelliJ [dev/intellij-setup.md](dev/intellij-setup.md)
*Note that all licence references and agreements mentioned in the Druid README section above are relevant to that project's source code only.