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DBMS > MySQL vs. OpenQM vs. PostgreSQL

System Properties Comparison MySQL vs. OpenQM vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionWidely used open source RDBMSQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMS infoKey/Value like access via memcached APIMultivalue DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1215.14
Rank#2  Overall
#2  Relational DBMS
Score0.27
Rank#240  Overall
#10  Multivalue DBMS
Score478.72
Rank#4  Overall
#4  Relational DBMS
Websitewww.mysql.comwww.openqm.comwww.postgresql.org
Technical documentationdev.mysql.com/­docwww.openqm-zumasys.com/­support/­documentationwww.postgresql.org/­docs/­manuals
DeveloperOracle infosince 2010, originally MySQL AB, then SunMartin PhillipsPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release199519931989 info1989: Postgres, 1996: PostgreSQL
Current release8.0.15, February 20193.4-1211.2, February 2019
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSD
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.
  • 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
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++C
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes infowith some exceptionsyes
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.yesyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infostandard with numerous extensions
APIs and other access methodsProprietary native API
ADO.NET
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricyespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yesMaster-slave replication infoother methods possible by using 3rd party extensions
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 enginenoyes
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.yesno
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
MySQLOpenQM infoalso called QMPostgreSQL
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Conferences and events

PGCon 2019, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 28-31 May 2019

Finished events

Achieving High Availability with PostgreSQL
Webinar, 4PM UTC, 26 February 2019 (finished)

Recent citations in the news

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16 April 2019, The Register

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