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DBMS > Hive vs. MySQL vs. Sadas Engine

System Properties Comparison Hive vs. MySQL vs. Sadas Engine

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMySQL  Xexclude from comparisonSadas Engine  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopWidely used open source RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environments
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.52
Rank#17  Overall
#11  Relational DBMS
Score1163.94
Rank#2  Overall
#2  Relational DBMS
Score0.00
Rank#403  Overall
#163  Relational DBMS
Websitehive.apache.orgwww.mysql.comwww.sadasengine.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedev.mysql.com/­docwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperApache Software Foundation infoinitially developed by FacebookOracle infosince 2010, originally MySQL AB, then SunSADAS s.r.l.
Initial release201219952006
Current release3.1.3, April 20228.0.33, April 20238.0
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
AIX
Linux
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infoproprietary syntaxno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
Source-replica replication
none
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 integritynoyes infonot for MyISAM storage engineyes
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 engineyes
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 infomanaged by 'Learn by Usage'
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standard

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