d4014c6a4e
reduce object count overhead of column cache |
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| cassandra-storage | ||
| common | ||
| docs | ||
| examples | ||
| hdfs-storage | ||
| histogram | ||
| indexing-hadoop | ||
| indexing-service | ||
| install | ||
| kafka-eight | ||
| kafka-seven | ||
| processing | ||
| publications | ||
| rabbitmq | ||
| s3-extensions | ||
| server | ||
| services | ||
| .gitignore | ||
| CodeStyle.jar | ||
| DruidCorporateCLA.pdf | ||
| DruidIndividualCLA.pdf | ||
| LICENSE | ||
| README.md | ||
| build.sh | ||
| eclipse_formatting.xml | ||
| pom.xml | ||
| upload.sh | ||
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.