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Real²time Exploratory Analytics on Large Datasets
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aws-common update for next release
benchmarks update for next release
common fix #1727 - Union bySegment queries fix
distribution fix assembly tar mode on some platforms
docs Merge pull request #1800 from metamx/hybrid-cache
examples Modified the Twitter firehose to process more properties
extensions-distribution remove maven metadata from embedded repo
extensions Revert "Merge pull request #1781 from dclim/nested-groupby-multiple-s…
indexing-hadoop SQLMetadataConnector: Retry table creation, in case something goes wr…
indexing-service Merge pull request #1730 from metamx/union-queries-fix
integration-tests fix broken integration-test
processing GroupByQueryRunnerTest for hyperUnique finalizing post aggregators
publications How to architect an analytics stack
server Merge pull request #1800 from metamx/hybrid-cache
services move cache bindings into a dedicated module
.gitignore Add docs from github wiki
.travis.yml faster build: cache maven dependencies in travis Minor documentation fixes for
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DruidIndividualCLA.pdf fix CLA email / mailing address
LICENSE Clean up README and license
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eclipse_formatting.xml towards a community led druid
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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, and Hadoop.


Apache License, Version 2.0

More Information

More information about Druid can be found on


You can find the latest Druid Documentation on the project website.

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


We have a series of tutorials to get started with Druid. If you are just getting started, we suggest going over the first Druid tutorial.

Reporting Issues

If you find any bugs, please file a GitHub issue.


Community support is available on the druid-user mailing list(

Development discussions occur on the druid-development list(

We also have a couple people hanging out on IRC in #druid-dev on

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