# awesome-druid

**Repository Path**: mirrors_didip/awesome-druid

## Basic Information

- **Project Name**: awesome-druid
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-11-07
- **Last Updated**: 2025-09-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# awesome-druid [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

## Druid Platforms

- [Druid](http://druid.io)
- [Metatron](https://metatron.app/)
- [Apache Druid](http://druid.apache.org)
- [Imply](http://imply.io)

## Druid

- [druid-spring-boot](https://github.com/drtrang/druid-spring-boot) Spring Boot starter for Druid
- [grafana-druid-plugin](https://github.com/grafana-druid-plugin/druidplugin) This repository contains the druid plugin for Grafana 3.0
- [fili](https://github.com/yahoo/fili) Easily make RESTful web services for time series reporting with Big Data analytics engines like Druid and Hive. 
- [node-druid-query](https://github.com/7eggs/node-druid-query)
- [embedded-druid](https://github.com/eBay/embedded-druid)
- [clj-druid](https://github.com/y42/clj-druid)
- [incubator-zeppelin-druid](https://github.com/lorthos/incubator-zeppelin-druid)
- [druid-client](https://github.com/implydata/druid-client)
- [druid-console](https://github.com/druid-io/druid-console)
- [druidlet](https://github.com/InferlyticsOSS/druidlet)
- [yahoo-druid-extensions](https://github.com/yahoo/druid-extensions)
- [druid-hadoop-utils](https://github.com/himanshug/druid-hadoop-utils)
- [kafka-spark-streaming-druid](https://github.com/ramkumarvenkat/kafka-spark-streaming-druid)
- [tranquility](https://github.com/druid-io/tranquility)
- [druid-hadoop-inputformat](https://github.com/implydata/druid-hadoop-inputformat)
- [sherlock](https://github.com/yahoo/sherlock)
- [druid-scala-client](https://github.com/daggerrz/druid-scala-client)
- [druid-spark-batch](https://github.com/metamx/druid-spark-batch)
- [plyql](https://github.com/implydata/plyql)
- [druid-spark-batch](https://github.com/metamx/druid-spark-batch)
- [druid-mdx](https://github.com/julianhyde/druid-mdx) Example of running MDX on Druid via Mondrian and Calcite 
- [maha](https://github.com/yahoo/maha)

## Deployment
- [druid-puppet](https://github.com/MrAlias/druid) Puppet module that sets up and configures a full druid cluster
- [docker-druid](https://github.com/druid-io/docker-druid)
- [druid-kubernetes](https://github.com/krallistic/druid-kubernetes)
- [druid-rpm](https://github.com/cleberar/druid-rpm)
- [druid-ansible](https://github.com/imungoma/druid-ansible)
- [cm-druid](https://github.com/knoguchi/cm-druid)

## Monitoring
- [druid-monitor](https://github.com/shrekwang/druid-monitor)
- [druid-metrics-to-kafka](https://github.com/quantiply/druid-metrics-to-kafka)

## UI
- [turnilo](https://github.com/allegro/turnilo)
- [swiv](https://github.com/yahoo/swiv)
- [superset](http://superset.apache.org)
- [metabase](https://github.com/metabase/metabase)
- [graphana-druid-plugin](https://github.com/grafana-druid-plugin/druidplugin)

## Clients

### Python
- [pydruid](https://github.com/druid-io/pydruid) - A python client for Druid

### R
- [RDruid](https://github.com/druid-io/RDruid) - An R connector for Druid

### JavaScript
- [plywood](https://github.com/implydata/plywood) - A higher level API for Druid. An extension of the work that was started in facet.js.
- [node-druid-query](https://github.com/7eggs/node-druid-query) - A Node.js client for Druid

### Clojure
- [clj-druid](https://github.com/y42/clj-druid) - A Clojure client for Druid

### Ruby
- [ruby-druid](https://github.com/ruby-druid/ruby-druid) - A ruby client for Druid
- [druid_config](https://github.com/redBorder/druid_config) - A ruby client to configure and check the status of a Druid Cluster
- [druiddb-ruby](https://github.com/andremleblanc/druiddb-ruby) - A Ruby client for Druid using the Kafka Indexing Service

### SQL
- [Apache Calcite](Apache Calcite) - SQL parser, planner and query engine whose Druid adapter can query data residing in Druid, and combine it with data in other locations; has local and remote JDBC drivers powered by Avatica
- [plyql](https://github.com/implydata/plyql) - A command line and HTTP interface for issuing SQL queries to Druid

### PHP
- [druid-php](https://github.com/pixelfederation/druid-php) - A PHP client for Druid
- [PHP-Druid](https://github.com/Neeke/PHP-Druid) - A Druid driver for PHP with PECL extension

### Scala
- [scruid](https://github.com/ing-bank/scruid) - A Scala client for Druid

### Java
- [druidry](https://github.com/zapr-oss/druidry) - A Java Client and query generator for Druid

### Go
- [godruid](https://github.com/shunfei/godruid)

## Articles & Blog posts
- [Ebay Blog: Monitoring at Ebay with Druid](https://www.ebayinc.com/stories/blogs/tech/monitoring-at-ebay-with-druid/)
- [Turnilo — let’s change the way people explore Big Data](https://allegro.tech/2018/10/turnilo-lets-change-the-way-people-explore-big-data.html)
- [Event Stream Analytics at Walmart with Druid (2017)](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
- [How to reduce the number of druid segments](http://www.tothenew.com/blog/how-to-reduce-the-number-of-druid-segments/)
- [Druid Blog](http://druid.io/blog/)
- [Druid, Imply and Looker 5 bring OLAP Analysis to BigQuery’s Data Warehouse](https://medium.com/mark-rittman/druid-imply-and-looker-5-bring-olap-analysis-to-bigquerys-data-warehouse-ae0cb5ffb3a4)
- [Comparison of the Open Source OLAP Systems for Big Data: ClickHouse, Druid and Pinot](https://medium.com/@leventov/comparison-of-the-open-source-olap-systems-for-big-data-clickhouse-druid-and-pinot-8e042a5ed1c7)
- [Yahoo Casts Real-Time OLAP Queries with Druid (2014)](https://www.datanami.com/2015/08/04/yahoo-casts-real-time-olap-queries-with-druid/)
- [The anatomy of a Druid segment file](https://medium.com/engineers-optimizely/the-anatomy-of-a-druid-segment-file-bed89a93af1e)
- [TECH TALK: AtScale, Hive, Druid: A Match Made In Heaven](http://blog.atscale.com/hive-druid-atscale)
- [Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets](https://metamarkets.com/2015/dogfooding-with-druid-samza-and-kafka-metametrics-at-metamarkets/)
- [Why We Chose Druid to Power CoolaData’s Real-Time Analytics](http://www.dataprix.com/en/blog-it/analytics/why-we-chose-druid-power-cooladata-s-real-time-analytics)
- [How to reduce the number of Druid segments](http://www.tothenew.com/blog/how-to-reduce-the-number-of-druid-segments/)
- [Performance evaluation between different druid roll-up levels](http://www.malinga.me/performance-evaluation-between-different-druid-roll-up-levels/)
- [Realtime Fast Data Analytics with Druid (2016)](https://blog.codecentric.de/en/2016/08/realtime-fast-data-analytics-druid/)
- [A Comparison of Time Series Databases and Netsil’s Use of Druid](https://blog.netsil.com/a-comparison-of-time-series-databases-and-netsils-use-of-druid-db805d471206)
- [Introduction to Indexing, Aggregation and Querying in Druid (2015)](https://zcox.wordpress.com/2015/04/05/introduction-to-indexing-aggregation-and-querying-in-druid/)
- [The Art of Approximating Distributions: Histograms and Quantiles at Scale](https://metamarkets.com/2013/histograms/)
- [Ultra-fast OLAP Analytics with Apache Hive and Druid – Part 1 of 3](https://hortonworks.com/blog/apache-hive-druid-part-1-3/)
- [Benchmark: Sub-Second Analytics with Apache Hive and Druid - Part 2 of 3](https://hortonworks.com/blog/sub-second-analytics-hive-druid/)
- [How to connect Tableau to Druid - Part 3 of 3](https://hortonworks.com/blog/connect-tableau-druid-hive/)
- [Using Druid to Scale Complex Queries](https://dzone.com/articles/scaling-complex-queries-using-druid)
- [How Druid enables analytics at Airbnb (2018)](https://medium.com/airbnb-engineering/druid-airbnb-data-platform-601c312f2a4c)

## Videos
- [Analyze Streaming Data in About 30 Minutes with HDP and Druid (2017)](https://www.youtube.com/watch?v=pvtdvoZ83uk)
- [Interactive Exploratory Analytics with Druid | DataEngConf SF (2017)](https://www.youtube.com/watch?v=rbQaCazQ0gI)
- [How Superset and Druid Power Real-Time Analytics at Airbnb | DataEngConf SF (2017)](https://www.youtube.com/watch?v=W_Sp4jo1ACg)
- [DRUID SUB SECOND OLAP QUERIES OVER PETABYTES OF STREAMING DATA (2017)](https://www.youtube.com/watch?v=iIaceyMLrQA)
- [Real Time Analytics at Scale with Druid (2017)](https://www.youtube.com/watch?v=tFIdKPHP0ts)
- [Druid and Spark Together – Mixing Analytics Workflows (2017)](https://metamarkets.com/2017/druid-and-spark-together-mixing-analytics-workflows/)
- [Druid: Powering Interactive Data Applications at Scale by Fangjin Yang (2016)](https://www.youtube.com/watch?v=vbH8E0nH2Nw)
- [Jan Graßegger - Real-time analytics with Flink and Druid (2016)](https://www.youtube.com/watch?v=mYGF4BUwtaw)
- [Druid for real-time analysis (2016)](https://yogsototh.github.io/mkdocs/druid/druid.html)
- [Dogfooding with Druid, Samza, and Kafka: Metametrics at Metamarkets (2015)](https://metamarkets.com/2015/dogfooding-with-druid-samza-and-kafka-metametrics-at-metamarkets/)
- [Introduction to Druid by Fangjin Yang (2014)](https://www.youtube.com/watch?v=GtHu4TVs0xI)
- [Druid Interactive Queries Meet Real-Time Data Eric Tschetter and Danny Yuan (2013)](https://www.youtube.com/watch?v=Dlqj34l2upk)

## Papers
- [Optimizing Druid with Roaring bitmaps](https://www.researchgate.net/profile/Daniel_Lemire/publication/304352004_Optimizing_Druid_with_Roaring_bitmaps/links/5a3a9268a6fdcc3d07afb140/Optimizing-Druid-with-Roaring-bitmaps.pdf?origin=publication_detail)
- [Druid: A real-time analytical data store](https://www.researchgate.net/profile/Fangjin_Yang/publication/266656620_Druid_A_real-time_analytical_data_store/links/54f5e1760cf21d8b8a5b957a/Druid-A-real-time-analytical-data-store.pdf?origin=publication_detail)

## Alternatives
- [Pinot](https://github.com/linkedin/pinot)
- [ClickHouse](https://clickhouse.yandex/)
- [Kylin](https://kylin.apache.org/)
- [Spark](https://spark.apache.org/)
- [Kudu](https://www.cloudera.com/products/open-source/apache-hadoop/apache-kudu.html)
- [Flink](https://flink.apache.org/)

## OpenSource OLAP
- [olap4j](http://olap4j.org/)
- [Mondrian](https://community.hitachivantara.com/docs/DOC-1009853)
- [Pentaho](https://www.hitachivantara.com/go/pentaho.html?source=pentaho-redirect)
- [jdbc4olap](http://www.jdbc4olap.org/)
- [Saiku](https://github.com/OSBI/saiku)