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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, MariaDB and Microsoft SQL Server.

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 modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score409.93
Rank#5  Overall
#1  Document stores
Score483.28
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 release4.0.10, May 201911.4, June 2019
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoBSD
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database in minutes.
  • 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++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 structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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 SQLRead-only SQL queries via the MongoDB Connector for BIyes 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
JavaScript (Node.js)
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 nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hash
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 dataMulti-document ACID Transactions with snapshot isolationACID
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, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» 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.

Related products and services
3rd partiesKnowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
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DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
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Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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Studio 3T: The world's favorite IDE for working with MongoDB
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more
2ndQuadrant: PostgreSQL Solutions for the Enterprise.
» 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

Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
» more

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

pgDash: In-Depth PostgreSQL Monitoring.
» more

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

SQLPro for PostgreSQL: A simple but powerful PostgreSQL database client available on iPhone and iPad as well as macOS.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MongoDBPostgreSQL
DB-Engines blog posts

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

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

show all

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

Finished events

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

Recent citations in the news

MongoDB, Inc. (MDB) stocks Higher at close Yesterday; MDB Currently up 2.45%
2 July 2019, The News Heater

MongoDB: The cloud keeps rolling but what about legacy modernization?
27 June 2019, ZDNet

MongoDB Database Exposed 188 Million Records: Researchers
11 July 2019, BankInfoSecurity.com

New Benchmarks Show Postgres Dominating MongoDB in Varied Workloads
26 June 2019, PRNewswire

MongoDB (MDB) Outpaces Stock Market Gains: What You Should Know
18 July 2019, Yahoo Finance

provided by Google News

Fully Managed PostgreSQL Hosting on AWS and Azure Launches in Time For Legacy Migrations
17 July 2019, Yahoo Finance

PostgreSQL database specialist EnterpriseDB gets new backing
28 June 2019, TechTarget

CIS Benchmark for PostgreSQL 11 Enhances PostgreSQL Security for Enterprises
1 July 2019, Yahoo Finance

PostgreSQL on Amazon Aurora Serverless goes live. Check the price tag before diving in, though
10 July 2019, The Register

Amazon Releases Aurora PostgreSQL Serverless to General Availability
17 July 2019, InfoQ.com

provided by Google News

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