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DBMS > Hive vs. Microsoft SQL Server vs. MySQL

System Properties Comparison Hive vs. Microsoft SQL Server vs. MySQL

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonMySQL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosofts relational DBMSWidely used open source RDBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMS infoKey/Value like access via memcached API
Additional database modelsKey-value storeDocument store
Key-value store
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.25
Rank#19  Overall
#12  Relational DBMS
Score1215.08
Rank#3  Overall
#3  Relational DBMS
Score1322.03
Rank#2  Overall
#2  Relational DBMS
Websitehive.apache.orgwww.microsoft.com/­en-us/­sql-serverwww.mysql.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdev.mysql.com/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftOracle infosince 2010, originally MySQL AB, then Sun
Initial release201219891995
Current release2.3.0, July 2017SQL Server 2017, October 20175.7.20, October 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial inforestricted free version is availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based infoOnly available as a cloud servicenonono
Implementation languageJavaC++C and C++
Server operating systemsAll OS with a Java VMLinux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infowith proprietary extensions
APIs and other access methodsJDBC
ODBC
Thrift
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
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 infouser defined functions and integration of map-reduceTransact SQL and .NET languagesyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes, but depending on the SQL-Server EditionMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
HiveMicrosoft SQL ServerMySQL
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