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DBMS > MonetDB vs. PostgreSQL

System Properties Comparison MonetDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionA relational database management system that stores data in columnsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational 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
Score2.08
Rank#126  Overall
#63  Relational DBMS
Score542.40
Rank#4  Overall
#4  Relational DBMS
Websitewww.monetdb.orgwww.postgresql.org
Technical documentationwww.monetdb.org/­Documentationwww.postgresql.org/­docs/­manuals
DeveloperMonetDB BVPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20041989 info1989: Postgres, 1996: PostgreSQL
Current releaseOct2020, October 202013.0, September 2020
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoBSD
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.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageCC
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyes
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsyes infostandard with numerous extensions
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes, in SQL, C, Ruser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablespartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
MonetDBPostgreSQL
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Faster, robuster and feature richer: MonetDB in 2020 and beyond
19 October 2020

Taking MonetDB/e for a taxi ride
12 July 2020

The MonetDB/e Python interface for data analytics
10 July 2020

MonetDB/e, a mature embedded SQL DBMS
8 July 2020

Doctor, what’s happening with my query in the MonetDB kernel?
15 June 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesAzure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!
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pgDash: In-Depth PostgreSQL Monitoring.
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2ndQuadrant: Mission Critical Databases.
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General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MonetDBPostgreSQL
DB-Engines blog posts

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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

Recent citations in the news

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26 October 2020, The Think Curiouser

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