Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > MongoDB

MongoDB System Properties

Please select another system to compare it with MongoDB.

Our visitors often compare MongoDB with Cassandra, MySQL and Amazon DynamoDB.

Editorial information provided by DB-Engines
DescriptionOne of the most popular document stores
Database modelDocument store
DB-Engines Ranking measures the popularity of database management systems
Trend Chart
Rank#5  Overall
#1  Document stores
Technical documentationdocs.mongodb.com/­manual
DeveloperMongoDB, Inc
Initial release2009
Current release3.4.2, February 2017
License Commercial or Open SourceOpen Source AGPL version 3, commercial license available
Cloud-based Only available as a cloud serviceno
Implementation languageC++
Server operating systemsLinux
Data schemeschema-free Although schema-free, documents of the same collection often follow the same structure
Typing predefined data types such as float or dateyes string, integer, double, boolean, date, object_id
Secondary indexesyes
SQL Support of (almost full) SQL standard (DML, DDL and DCL statements)no
APIs and other access methodsproprietary protocol using JSON
Supported programming languagesActionscript inofficial driver
Clojure inofficial driver
ColdFusion inofficial driver
D inofficial driver
Dart inofficial driver
Delphi inofficial driver
Go inofficial driver
Groovy inofficial driver
Lisp inofficial driver
Lua inofficial driver
MatLab inofficial driver
PowerShell inofficial driver
Prolog inofficial driver
R inofficial driver
Smalltalk inofficial driver
Server-side scripts Stored proceduresJavaScript
Partitioning methods Methods for storing different data on different nodesSharding
Replication methods Methods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce Offers an API for user-defined Map/Reduce methodsyes
Consistency concepts Methods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency can be individually decided for each write operation
Foreign keys Referential integrityno typically not used, however similar functionality with DBRef possible
Transaction concepts Support to ensure data integrity after non-atomic manipulations of datano atomic operations within a single document possible
Concurrency Support for concurrent manipulation of datayes
Durability Support for making data persistentyes optional
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.yes In-memory storage engine introduced with MongoDB version 3.2
User concepts Access controlAccess rights for users and roles
More information provided by the system vendor
Specific characteristics

MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. The world’s most sophisticated organizations, from cutting-edge startups to the largest companies, use MongoDB to create applications never before possible, at a fraction of the cost of legacy databases. MongoDB was also named a leader in the Forrester Wave™: Big Data NoSQL, Q3 2016.

MongoDB is the fastest-growing database ecosystem, with over 20 million downloads, thousands of customers, and over 1,000 technology and service partners.

Competitive advantages

By offering the best of traditional databases as well as the flexibility, scale, and performance required by today’s applications, MongoDB lets innovators deploy apps as big as they can possibly dream. From startups to enterprises, for the modern and the mission-critical, MongoDB is the database for giant ideas.

  • MongoDB maintains the most valuable features of relational databases: strong consistency, expressive query language and secondary indexes. As a result, developers can build highly functional applications faster than NoSQL databases.
  • MongoDB provides the data model flexibility, elastic scalability, and high performance and availability of NoSQL databases. As a result, engineers can continuously enhance applications, and deliver them at almost unlimited scale on commodity hardware.
Typical application scenarios

See more use cases and customer case studies.

Key customers

ADP, Adobe, AstraZeneca, BBVA, Bosch, Cisco, CERN, Department of Veteran Affairs, eBay, eHarmony, Electronic Arts, Expedia, Facebook’s Parse, Forbes, Foursquare, Genentech, MetLife, Pearson, Sage, Salesforce, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless

See more MongoDB customers.

Market metrics
  • 20 million downloads (growing at thousands downloads per day).
  • 2,000+ customers including over one third of the Fortune 100.
  • Named a leader in the Forrester Wave™: Big Data NoSQL, Q3 2016.
  • Highest placed non-relational database in DB Engines rankings   
Licensing and pricing models
  • MongoDB database server: Free Software Foundation’s GNU AGPL v3.0. Commercial licenses are also available from MongoDB, Inc.
  • MongoDB supported drivers: Apache License v2.0. Third parties have created over 30 drivers too; licenses will vary.
  • Documentation: Creative Commons.
  • MongoDB Enterprise Advanced is licensed per physical server, per year. Includes 24x7 support, advanced management software and security integrations, commercial licensing, certifications and on-demand training. 
  • MongoDB Atlas offers a fully-managed MongoDB-as-a-service with convienient hourly billing.
  • MongoDB Cloud Manager provides cloud-managed MongoDB on the infrastructure of your choice. 
  • MongoDB Professional, consulting and training through MongoDB University are also available

3rd party products and services
Progress DataDirect: Data connectivity across standard SQL and REST

We connect data for 350+ technology partners around the globe including 8 of the top 9 Business Intelligence and Analytics platforms. We co-founded the ODBC specification and serve on the JDBC Expert Group, OData Technical Committee for REST APIs and ANSI SQL Committee.

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

Connect Apps, BI, & ETL Tools
to MongoDB

Easily connect BI, Analytics, Reporting, and Custom Apps
with Big Data & NoSQL databases.

Connect to Big Data & NoSQL databases without writing code! Our state-of-the-art Drivers let you read, write, and update big data sources through a standard database interface - just like using SQL Server. Trial downloads are available at www.cdata.com/drivers.

Big Data & NoSQL Drivers:
MongoDB, Google BigQuery, Cassandra,
and Other Big Data & Cloud sources ...

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

More resources
DB-Engines blog posts

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

Winners, losers and an attractive newcomer in Novembers DB-Engines ranking
2 November 2015, Paul Andlinger

show all

Conferences and events

MongoDB World 2017
Chicago, Illinois, USA, 20-21 June 2017

Recent citations in the news

MongoDB Expands OEM Partner Program to Help ISVs Build ...
22 March 2017, Bobsguide (press release)

MongoDB's Atlas database service goes freemium
7 March 2017, TechCrunch

Microsoft really wants those MongoDB devs to move to DocumentDB
16 March 2017, The Register

Review: MongoDB learns cool new tricks
15 March 2017, InfoWorld

3T Software Labs acquires Robomongo, the most widely used MongoDB tool
14 March 2017, SDTimes.com

provided by Google News

Share this page

Featured Products

Datastax delivers Apache Cassandra as part of a database platform purpose built for IOT, Web and Mobile Apps. Download now.

Semantic Graph Database Leader - Add The Power of Cognitive Probability Graphs - Unique Graph Visualizations - Free Download

Power, flexibility & scale.
All open source.
Get started now.

Get your step-by-step guide comparing RDBMS to graph databases, including data models, query languages, and deployment strategies.

Present your product here