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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Apache Druid (incubating)
Apache Druid (incubating) is a high performance analytics data store for event-driven data.
Disclaimer: Apache Druid is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.
You can get started with Druid with our quickstart.
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.
Some committers and users are present in the channel
#druid on the Apache Slack team. Please use our invitation link to join, and once you join, add 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.
*Note that all licence references and agreements mentioned in the Druid README section above are relevant to that project's source code only.