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DBMS > MySQL vs. Ultipa

System Properties Comparison MySQL vs. Ultipa

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionWidely used open source RDBMSHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelRelational DBMS infoKey/Value like access via memcached APIGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1163.94
Rank#2  Overall
#2  Relational DBMS
Score0.41
Rank#321  Overall
#28  Graph DBMS
Websitewww.mysql.comwww.ultipa.com
Technical documentationdev.mysql.com/­docwww.ultipa.com/­document
DeveloperOracle infosince 2010, originally MySQL AB, then SunUltipa
Initial release19952019
Current release8.0.33, April 2023
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
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Implementation languageC and C++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes
Typing infopredefined data types such as float or dateyes
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.yes
Secondary indexesyes
SQL infoSupport of SQLyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP API
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++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoproprietary syntax
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or roles

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3rd partiesPlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
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