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DBMS > MongoDB vs. PostgreSQL

System Properties Comparison MongoDB vs. PostgreSQL

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Our visitors often compare MongoDB and PostgreSQL with MySQL, Microsoft SQL Server and MariaDB.

Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionOne of the most popular document storesWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsKey-value storeDocument store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score350.33
Rank#5  Overall
#1  Document stores
Score405.81
Rank#4  Overall
#4  Relational DBMS
Websitewww.mongodb.comwww.postgresql.org
Technical documentationdocs.mongodb.com/­manualwww.postgresql.org/­docs/­manuals
DeveloperMongoDB, IncPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20091989 info1989: Postgres, 1996: PostgreSQL
Current release4.0.0, June 201810.4, May 2018
License infoCommercial or Open SourceOpen Source infoAGPL version 3, commercial license availableOpen Source infoBSD
Cloud-based infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a ServiceGoogle Cloud SQL: A fully-managed database service for the Google Cloud Platform
Implementation languageC++C
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-free infoAlthough schema-free, documents of the same collection often follow the same structureyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, boolean, date, object_idyes
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 SQLnoyes infostandard with numerous extensions
APIs and other access methodsproprietary protocol using JSONnative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesActionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go infoinofficial driver
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
.Net
C
C++
Delphi
Java infoJDBC
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresJavaScriptuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingdeclarative partitioning (by range or by list) since PostgreSQL 10.0 infoprior to 10.0, partitioning could be realized with table inheritance
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
MongoDBPostgreSQL
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs,...
» more
Market metrics20 million downloads (growing at thousands downloads per day). 2,000+ customers including...
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses...
» more

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.

3rd party products and services
3rd partiesDBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

Progress DataDirect: Data connectivity across standard SQL and REST
» more
Progress DataDirect: Data connectivity across standard SQL and REST
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

Dremio is like magic for PostgreSQL accelerating your analytical queries up to 1,000x.
» more

DBHawk: a web-based PostgreSQL/Greenplum database tool. Boost database development and BI productivity with an online Universal database tool.
» more

2ndQuadrant: The team of diligent PostgreSQL experts.
» more

We invite representatives of 3rd party vendors to contact us for presenting information about their offerings here.

More resources
MongoDBPostgreSQL
DB-Engines blog posts

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PostgreSQL moves up one rank at the expense of MongoDB
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Conferences and events

MongoDB Europe 2018
London, United Kingdom, 8 November 2018

Recent citations in the news

MongoDB Database Tool, dbKoda, Offers Enhanced User Experience and Performance Lab in Version 1.0
16 July 2018, InfoQ.com

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