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DBMS > Microsoft Azure Data Explorer vs. MySQL

System Properties Comparison Microsoft Azure Data Explorer vs. MySQL

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

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.94
Rank#118  Overall
#61  Relational DBMS
Score1253.68
Rank#2  Overall
#2  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerwww.mysql.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdev.mysql.com/­doc
DeveloperMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release20191995
Current release8.0.17, July 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++
Server operating systemshostedFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes
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.yesyes
Secondary indexesyes
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyes infowith proprietary extensions
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresYes. Languages: KQL, Python, Ryes infoproprietary syntax
TriggersTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.yes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
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.noyes
User concepts infoAccess controlAzure Active Directory AuthenticationUsers with fine-grained authorization concept infono user groups or roles

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More resources
Microsoft Azure Data ExplorerMySQL
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Recent citations in the news

Microsoft Israel's 'Garage' insists on creativity and execution
16 August 2019, The Jerusalem Post

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

An overview of Azure Data Explorer (ADX) - Microsoft
7 February 2019, Channel 9

How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

Microsoft Azure Data Lake Storage Is Now Generally Available
20 February 2019, eWeek

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SiteLock Extends Database Security Reach to MySQL
7 August 2019, Security Boulevard

PenCarrie Turns to Percona to Support MySQL Database Growth Strategy
23 July 2019, GlobeNewswire

MongoDB vs MySQL: Which Database is Better For Your Business
5 August 2019, Appinventiv

El Reg sits down to code with .NET for Linux and MySQL, hitting some bumps along the way
24 July 2019, The Register

Tungsten Clustering for MySQL, MariaDB & Percona Server - A Technical Overview
26 July 2019, Database Trends and Applications

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