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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 available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelDocument store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#5  Overall
#1  Document stores
Technical documentationwww.mongodb.com/­docs/­manual
DeveloperMongoDB, Inc
Initial release2009
Current release6.0.7, June 2023
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.
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++
Server operating systemsLinux
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.
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
Secondary indexesyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsGraphQL
proprietary protocol using JSON
Supported programming languagesActionscript infounofficial driver
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Groovy infounofficial driver
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
PowerShell infounofficial driver
Prolog infounofficial driver
R infounofficial driver
Smalltalk infounofficial driver
Server-side scripts infoStored proceduresJavaScript
Triggersyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes infooptional, enabled by default
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 3.2
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
Specific characteristics

MongoDB provides an integrated suite of cloud database and data services to accelerate and simplify how developers build with data.

MongoDB has been one of the fastest growing databases over the past decade in DB-Engines Rankings, and is consistently rated as one of the databases developers most want to use in Stack Overflow's annual developer survey. 

Developers love working with MongoDB because they:

  1. Develop faster with the document model: MongoDB's JSON-like document data model maps to the objects in your application code. Its flexibility allows you to model data of any structure – from the vast diversity of regular application data to vector embeddings composed of several thousand dimensions. Any of these structures can be modified at any time. 
  2. Work with data as code for any use case. MongoDB's unified query API is the most natural way to work with data in any form. Atlas extends MongoDB's flexibility and ease of use to building AI-enriched apps with in-app intelligence, semantic and  keyword search, time-series and geospatial applications, and streaming, event-driven services. 
  3. Perform securely at any scale. MongoDB's distributed systems foundation means you cn scale-out your database on-demand, with full redundancy and built-in, always-on security controls
Competitive advantages

Built around the flexible document data model and unified API, MongoDB is a developer data platform, designed to work with data any way your application needs. Working with data in-motion and data at-rest, MongoDB Atlas provides all of the core data services that enable developers to build any class of modern, intelligent software.

MongoDB has been named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

MongoDB University offers no cost training for developers and operations teams for all of MongoDB's products

  • Atlas Database: A transactional multi-cloud database service built for operational applications demanding the highest levels of resilience, scale, data privacy, and security.
  • Atlas Vector Search: Build intelligent applications powered by semantic search and generative AI over any type of data.
  • Atlas Search: Build fast, relevance-based keyword search directly into an app without the need for a bolt-on search engine.
  • Atlas Stream Processing: Easily create applications that leverage streaming data. Developers can continuously process and analyze streams of complex data using the same MongoDB drivers, query API, and flexible data model they use for the database.  
  • Atlas Charts: Bring your data to life and get real-time insights with embeddable dashboards and visualizations.
  • Atlas Data Lake: A fully managed storage solution that provides the economics of cloud object storage and is optimized for analytical queries
  • Atlas Data Federation: Seamlessly query, transform, and aggregate data from one or more Atlas databases and cloud object storage offerings
  • Atlas Online Archive: Tier aged data from Atlas databases to fully managed object storage and query it through a single endpoint.
  • Atlas App Services: APIs, Triggers, Functions to build apps, integrate services, and connect to your data without operational overhead.
  • Atlas Device Sync: Keep your data up-to-date across devices, users, and your backend
Typical application scenarios
Key customers

ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN, City of Chicago, Coinbase, Department of Veteran Affairs, Department of Works and Pensions, eBay, eHarmony, Electronic Arts, Elsevier, Epic Games, Expedia, Forbes, Foursquare, Gap, Genentech, HSBC, Jaguar Land Rover, KPMG, MetLife, Morgan Stanley, Nationwide, Nat West, OTTO, Pearson, Porsche, RBS, Sage, Salesforce, SAP, Sega, Sprinklr, Telefonica, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless, Vodafone, Volvo

See more MongoDB customers.

Market metrics
  • Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month handling tens of PBs of data, and serving hundreds of billions of queries every day.

  • MongoDB Atlas is available in 110+ cloud regions across AWS, Azure, and Google Cloud

  • 43,000+ customers in more than 100 countries around the world. Includes more than 50% of the Fortune 100

  • Named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems, and as a leader in the Forrester WaveTM: Translytical Data Platforms, Q4 2022

  • 1.5M+ registrations for MongoDB University courses

  • More than 1,000 technology and service partners

  • Highest placed non-relational database in DB Engines rankings  

Licensing and pricing models
Related products and services
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

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

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Recent citations in the news

MongoDB adds generative AI features to boost developer productivity
27 September 2023, InfoWorld

MongoDB takes Atlas to the Edge, adds AI tools for devs
27 September 2023, The Stack

MongoDB Launches Advanced Data Management Capabilities to ...
26 September 2023, PR Newswire

MongoDB Wants To Change The Database Game With Queryable Encryption
25 September 2023, Forbes

Is It Too Late to Buy MongoDB Stock?
25 September 2023, The Motley Fool

provided by Google News

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