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DBMS > Druid vs. Microsoft Azure Data Explorer

System Properties Comparison Druid vs. Microsoft Azure Data Explorer

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Our visitors often compare Druid and Microsoft Azure Data Explorer with Elasticsearch, Microsoft Azure Cosmos DB and Spark SQL.

Editorial information provided by DB-Engines
NameDruid  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionOpen-source analytics data store designed for OLAP queries on timeseries dataFully managed big data interactive analytics platform
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Score1.51
Rank#120  Overall
#62  Relational DBMS
Websitedruid.ioazure.microsoft.com/­services/­data-explorer
Technical documentationdruid.io/­docs/­latest/­design/­index.htmldocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperMetamarkets Group and contributorsMicrosoft
Initial release20122019
License infoCommercial or Open SourceOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinux
OS X
Unix
hosted
Data schemeyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyes
SQL infoSupport of SQLSQL support via Apache Calcite adapterKusto Query Language (KQL), SQL subset
APIs and other access methodsJSON over HTTPMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresnoYes. Languages: KQL, Python, R
TriggersnoTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlno infoavailable via extensionsAzure Active Directory Authentication

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More resources
DruidMicrosoft Azure Data Explorer
Recent citations in the news

Imply launches with $2M to commercialize the Druid open-source data store
19 October 2015, VentureBeat

What's Behind Lyft's Choices in Big Data Tech
10 May 2019, Datanami

Hadoop Creator Yahoo Finds It's Not Enough, Turns to Druid
30 July 2015, ADT Magazine

Yahoo Casts Real-Time OLAP Queries with Druid
4 August 2015, Datanami

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24 September 2018, HPCwire

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29 January 2019, ZDNet

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7 February 2019, Channel 9

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12 February 2019, InfoWorld

provided by Google News

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