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Druid was started in 2011 by Eric
Tschetter, Fangjin Yang, Gian Merlino and Vadim Ogievetsky to power the analytics product of Metamarkets. The project was open-sourced under the GPL license in October 2012, and moved to an Apache License in February 2015.
364:
Client queries first hit broker nodes, which forward them to the appropriate data nodes (either historical or real-time). Since Druid segments may be partitioned, an incoming query can require data from multiple segments and partitions (or
377:
Operations relating to data management in historical nodes are overseen by coordinator nodes. Apache ZooKeeper is used to register all nodes, manage certain aspects of internode communications, and provide for leader elections.
661:
421:
standard. Druid was tested using both a “Druid Best” configuration using tables with hashed partitions and a “Druid
Suboptimal” configuration which does not use hashed partitions.
424:
Tests were conducted by running the 13 TPC-H queries using TPC-H Scale Factor 30 (a 30GB database), Scale Factor 100 (a 100GB database), and Scale Factor 300 (a 300GB database).
369:) stored on different nodes in the cluster. Brokers are able to learn which nodes have the required data, and also merge partial results before returning the aggregated result.
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Druid performance was measured as at least 98% faster than Hive and at least 90% faster than Presto in each scenario, even when using the Druid
Suboptimized configuration.
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226:. Druid is designed to quickly ingest massive quantities of event data, and provide low-latency queries on top of the data. The name Druid comes from the
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architecture where data is stored redundantly, and there is no single point of failure. The cluster includes external dependencies for coordination (
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1079:. Lecture Notes in Business Information Processing. Vol. 353. Cham: Springer International Publishing. pp. 149–161.
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Fully deployed, Druid runs as a cluster of specialized processes (called nodes in Druid) to support a
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Yang, Fangjin; Tschetter, Eric; Léauté, Xavier; Ray, Nelson; Merlino, Gian; Ganguli, Deep.
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and historical data. Druid is used in production by technology companies such as
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728:"The Netflix Tech Blog: Announcing Suro: Backbone of Netflix's Data Pipeline"
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798:"Interactive Analytics at MoPub: Querying Terabytes of Data in Seconds"
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55:
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353:
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861:"Complementing Hadoop at Yahoo: Interactive Analytics with Druid"
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962:"Metamarkets Open Sources Druid, Streaming Real-Time Data Store"
947:
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285:
277:
257:
1071:
Correia, José; Costa, Carlos; Santos, Maribel
Yasmina (2019).
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349:
269:
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930:""Metamarkets open sources Druid, its in-memory database""
1073:"Challenging SQL-on-Hadoop Performance with Apache Druid"
988:"The Druid real-time database moves to an Apache license"
557:
https://github.com/apache/druid/releases/tag/druid-30.0.1
658:"Under the hood of Cisco's Tetration Analytics platform"
1013:"Druid Gets Open Source-ier Under the Apache License"
1075:. In Abramowicz, Witold; Corchuelo, Rafael (eds.).
1168:
1070:
753:Pinterest: Powering Ad Analytics with Apache Druid
405:In 2019, researchers compared the performance of
1998:
823:"Event Stream Analytics at Walmart with Druid"
1154:
683:"Druid at Pulsar - ebay的专栏 - 博客频道 - CSDN.NET"
1048:""Druid: A Real-time Analytical Data Store""
1161:
1147:
1025:
881:"Druid: A Real-time Analytical Data Store"
390:Arbitrary slice and dice data exploration.
78:
36:
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626:
624:
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248:applications to analyze high volumes of
773:"Scaling Reporting at Reddit - Upvoted"
708:Streaming SQL and Druid by Arup Malakar
593:""Druid Summons Strength in Real-Time""
584:
387:Low latency (streaming) data ingestion.
14:
1999:
985:
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655:
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348:), and a deep storage facility (e.g.
2007:Apache Software Foundation projects
396:Approximate and exact computations.
359:
24:
320:
25:
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1123:
630:
413:, and Druid using a denormalized
2027:Free database management systems
1979:
1978:
656:Butler, Brandon (20 June 2016).
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1005:
979:
954:
873:
853:
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814:
790:
765:
664:from the original on 2024-04-26
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1170:The Apache Software Foundation
986:Harris, Derrick (2015-02-20).
847:"Conferences - O'Reilly Media"
744:
720:
699:
675:
649:
523:
511:List of column-oriented DBMSes
400:
18:Druid (open-source data store)
13:
1:
1033:"Druid Project Documentation"
821:Nayak, Amaresh (2018-02-23).
516:
356:) for permanent data backup.
1085:10.1007/978-3-030-20485-3_12
1077:Business Information Systems
393:Sub-second analytic queries.
27:Analytical database software
7:
1061:, retrieved 6 February 2014
504:
381:
10:
2043:
633:"Druid | Powered by Druid"
336:), metadata storage (e.g.
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240:Druid is commonly used in
61:Apache Software Foundation
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531:"Apache Druid at GitHub"
2012:Distributed data stores
417:Benchmark based on the
110:github.com/apache/druid
927:Higginbotham, Stacey.
325:
899:""Introducing Druid""
324:
242:business intelligence
85:; 10 days ago
732:techblog.netflix.com
555:. 17 September 2024
298:Wikimedia Foundation
428:
83:/ 17 September 2024
32:
2017:Structured storage
1231:Apache HTTP Server
779:. 26 February 2021
427:
373:Cluster management
326:
235:role-playing games
181:Apache License 2.0
46:Original author(s)
30:
1994:
1993:
1104:978-3-030-20485-3
951:, 24 October 2012
918:, 24 October 2012
896:Tschetter, Eric.
777:www.redditinc.com
612:, 8 November 2012
590:Hemsoth, Nicole.
572:Missing or empty
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444:Druid Suboptimal
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90:17 September 2024
16:(Redirected from
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415:Star Schema
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231:Druid class
222:written in
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158:time-series
148:distributed
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2001:Categories
1870:Deltacloud
1656:Subversion
1546:OрenOffice
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1371:FreeMarker
1296:CloudStack
1281:CarbonData
1261:Bloodhound
1094:1822/66785
1018:2015-08-04
998:2015-08-04
972:2023-07-24
966:Yahoo News
940:2014-02-07
909:2019-06-12
866:2016-06-23
832:2020-01-29
807:2020-01-29
783:2022-09-13
759:2020-01-29
737:2016-06-23
714:2020-01-29
692:2016-06-23
668:2016-06-23
642:2016-06-29
603:2014-02-07
535:github.com
517:References
342:PostgreSQL
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