Apache Druid: a high performance real-time analytics database.
Go to file
Fangjin Yang 623443a145 Merge pull request #946 from metamx/MoreMediaTypes
Changed all "application/json" to MediaType.APPLICATION_JSON  except for in druid.js
2014-12-08 15:24:21 -07:00
common update joda-time and fix min/max instant 2014-12-04 10:57:56 -08:00
docs Merge pull request #936 from metamx/cachingRunnerImprovements 2014-12-08 14:07:52 -08:00
examples Commonalize the cache config and change default to disable cache 2014-11-24 14:54:11 -08:00
extensions update jackson to 2.4.4 2014-12-04 10:57:56 -08:00
indexing-hadoop fix buffer pool usage 2014-12-05 16:09:26 +05:30
indexing-service Changed all "application/json" to MediaType.APPLICATION_JSON except for in druid.js 2014-12-08 14:21:49 -08:00
processing Merge pull request #936 from metamx/cachingRunnerImprovements 2014-12-08 14:07:52 -08:00
publications pdf version 1.4 with fonts embedded 2014-04-02 11:30:01 -07:00
server Merge pull request #946 from metamx/MoreMediaTypes 2014-12-08 15:24:21 -07:00
services Replace google-http-client imports with real guava imports. 2014-12-04 10:57:57 -08:00
.gitignore Add docs from github wiki 2013-09-13 17:20:39 -05:00
DruidCorporateCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
DruidIndividualCLA.pdf fix CLA email / mailing address 2014-04-17 15:26:28 -07:00
LICENSE 1) Create LICENSE 2012-10-24 05:09:47 -04:00
README.md fix 2014-08-18 12:56:51 -07:00
build.sh simpler build script 2014-11-24 11:16:27 -08:00
eclipse_formatting.xml Eclipse formatting file. (only what I inferred from a few files) 2013-05-01 14:17:57 -04:00
intellij_formatting.jar rename code style jar 2014-11-21 14:51:23 -08:00
pom.xml use property for jackson version 2014-12-04 10:57:56 -08:00
upload.sh Fix upload script to actually upload into the directory 2013-07-19 16:57:55 -07:00

README.md

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 Storm and Hadoop.

More Information

Much more information about Druid can be found on our website.

Documentation

We host documentation on our website. If you want to contribute documentation changes, please submit a pull request to this repository.

Tutorials

We have a series of tutorials to get started with Druid, starting with this one.

Support

Report any bugs using GitHub issues.

Contact us through our forum or on IRC in #druid-dev on irc.freenode.net.