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DBMS > OpenQM vs. PostgreSQL vs. SAP SQL Anywhere

System Properties Comparison OpenQM vs. PostgreSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameOpenQM infoalso called QM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelMultivalue DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#239  Overall
#10  Multivalue DBMS
Score481.33
Rank#4  Overall
#4  Relational DBMS
Score5.83
Rank#59  Overall
#33  Relational DBMS
Websitewww.openqm.comwww.postgresql.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationwww.openqm-zumasys.com/­support/­documentationwww.postgresql.org/­docs/­manualshelp.sap.com/­sql-anywhere
DeveloperMartin PhillipsPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly Sybase
Initial release19931989 info1989: Postgres, 1996: PostgreSQL1992
Current release3.4-1211.5, August 201917, July 2015
License infoCommercial or Open SourceOpen Source infoGPLv2, extended commercial license availableOpen Source infoBSDcommercial
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.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Google Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC
Server operating systemsAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyes infowith some exceptionsyesyes
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.yesyes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyes
APIs and other access methodsnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perl
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesyespartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication infoDatabase mirroring
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 integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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Related products and services
3rd partiesDBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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pgDash: In-Depth PostgreSQL Monitoring.
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2ndQuadrant: PostgreSQL Solutions for the Enterprise.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
OpenQM infoalso called QMPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PostgreSQL Conference, Asia 2019
Denpasar, Bali, Indonesia, 9-12 September 2019

PostgreSQL Conference, Europe 2019
Milan, Italy, 15-18 October 2019

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