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DBMS > MongoDB

MongoDB System Properties

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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#4  Overall
#1  Document stores
Technical documentationdocs.mongodb.org/­manual
DeveloperMongoDB, Inc
Initial release2009
Current release3.2.8, July 2016
LicenseOpen Source AGPL version 3, commercial license available
Database as a Service (DBaaS) 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 Gartner's Magic Quadrant for Operational Database Management Systems.

MongoDB is the fastest-growing database ecosystem, with over 10 million downloads, thousands of customers, and over 1,000 technology and service partners.

Competitive advantages

MongoDB combines the best of relational databases with the innovations of NoSQL technologies, enabling engineers to build modern applications:

  • 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 of NoSQL databases. As a result, engineers can continuously enhance applications, and deliver them at almost unlimited scale on commodity hardware.
Typical application scenarios

Internet of Things (Bosch), Mobile (The Weather Channel), Single View (MetLife), Real Time Analytics (Buzzfeed), Customer Data Management (Expedia), Catalogs (Under Armour), Content Management (eBay)

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

Market metrics
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 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
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

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

MongoDB and PostgreSQL struggle for the lead of the chasing group in the popularity ranking
1 July 2015, Paul Andlinger

show all

Recent citations in the news

Flexible MongoDB connects to Spark analytics, adds DBaaS
8 July 2016, TechTarget

What should MongoDB be when it grows up?
6 July 2016, ZDNet

MongoDB shares the impact of advocate marketing and content ROI
22 July 2016, Diginomica

Prescriptive Data chooses MongoDB for Nantum smart building system
27 July 2016, Robotics and Automation News (press release) (registration)

Talking Girls Who Code and women in tech with MongoDB
6 July 2016, Diginomica

provided by Google News

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