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DBMS > MySQL vs. openGauss vs. Teradata

System Properties Comparison MySQL vs. openGauss vs. Teradata

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonopenGauss  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionWidely used open source RDBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1182.79
Rank#2  Overall
#2  Relational DBMS
Score1.19
Rank#196  Overall
#94  Relational DBMS
Score63.74
Rank#18  Overall
#12  Relational DBMS
Websitewww.mysql.comgitee.com/­opengauss
opengauss.org
www.teradata.com
Technical documentationdev.mysql.com/­docgitee.com/­opengauss/­docs
opengauss.org/­en/­docs/­latest/­docs/­BriefTutorial/­BriefTutorial.html
docs.teradata.com
DeveloperOracle infosince 2010, originally MySQL AB, then SunHuawei and openGauss communityTeradata
Initial release199520191984
Current release8.0.32, January 20233.0, March 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
  • PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Implementation languageC and C++C, C++, Java
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linuxhosted
Linux
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.yesnoyes
Secondary indexesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLyes infowith proprietary extensionsANSI SQL 2011yes infoSQL 2016 + extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Java
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesyes infoUDFs, stored procedures, table functions in parallel
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabrichorizontal partitioning (by range, list and hash)Sharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
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.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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More resources
MySQLopenGaussTeradata
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