druid/README.md

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## Druid

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.

### License

[Apache License, Version 2.0](http://www.apache.org/licenses/LICENSE-2.0)

### More Information

More information about Druid can be found on <http://www.druid.io>.

### Documentation

You can find the [documentation for the latest Druid release](http://druid.io/docs/latest/) on
the [project website](http://druid.io/docs/latest/).

If you would like to contribute documentation, please do so under
`/docs/content` in this repository and submit a pull request.

### Getting Started

You can get started with Druid with our [quickstart](http://druid.io/docs/latest/tutorials/quickstart.html).

### Reporting Issues

If you find any bugs, please file a [GitHub issue](https://github.com/druid-io/druid/issues).

### Community

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/.

Community support is available on the
[druid-user mailing list](https://groups.google.com/forum/#!forum/druid-user)(druid-user@googlegroups.com), which
is hosted at Google Groups.

Development discussions occur on [dev@druid.apache.org](https://lists.apache.org/list.html?dev@druid.apache.org), which
you can subscribe to by emailing [dev-subscribe@druid.apache.org](mailto:dev-subscribe@druid.apache.org).

We also have a couple people hanging out on IRC in `#druid-dev` on
`irc.freenode.net`.

### Contributing

Please follow the guidelines listed [here](http://druid.io/community/).