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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.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#5  Overall
#1  Document stores
Technical documentationdocs.mongodb.com/­manual
DeveloperMongoDB, Inc
Initial release2009
Current release4.4.5, April 2021
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.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
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 Connector for BI
APIs and other access methodsproprietary 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
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
Immediate Consistency infocan be individually decided for each write operation
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
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 is the leading modern, general purpose data platform, designed to unleash the power of software and data for developers and the applications they build. The world's most sophisticated organizations, from cutting-edge startups to the largest companies and government agencies, use MongoDB to create applications never before possible, at a fraction of the cost of legacy databases.

In 2020, MongoDB was named as the database developers most wanted to use in the Stack Overflow Developer survey. This was the 4th consequetive year MongoDB had topped this poll. MongoDB was also named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 and in the Forrester Wave: Database-As-A-Service, Q2 2019 

MongoDB is designed to meet the demands of modern apps with a technology foundation that enables you through:

1. The document data model and MongoDB Query Language, giving developers the fastest way to innovate in building transactional, operational and analytical applications. 
2. A multi-cloud, global database, giving developers the freedom to run their applications anywhere with the flexibility to move across private and public clouds as requirements evolve – without having to change a single line of code.
3. The MongoDB Cloud, providing a unified developer experience for modern applications than span cloud to edge, in database, search, and the data lake, backed by comprehensive & integrated application services.

MongoDB offers the fully managed, on-demand and global MongoDB Atlas service in the public cloud. Atlas enables customers to take advantage of MongoDB’s capabilities on AWS, Azure, or GCP without needing to deploy, operate, and scale the software or underlying infrastructure themselves. 

MongoDB Cloud extends Atlas with other data services that work with it seamlessly, giving you more ways of working with data.

MongoDB Atlas Search makes it easy to create fast, relevant, full-text search capabilities on top of your data in the cloud, and is built on top of Apache Lucene, the industry standard library. 

The service is fully managed, operationally invisible, and integrated within the Atlas cloud database, removing the need for teams to deploy and manage a separate search platform.  Search functionality is also exposed via the MongoDB query language so developers do not need to learn a new API. Simply create search indexes directly in Atlas and use the MongoDB query language to build sophisticated search queries. 

MongoDB Atlas Data Lake brings a serverless, scalable data lake to the cloud platform with an on-demand query service that enables you to analyze data in cloud object storage (Amazon S3) in-place using the MongoDB Query Language (MQL). 

There is no infrastructure to set up or manage and no need to capacity plan as Atlas Data Lake automatically parallelizes operations by breaking queries down and then dividing the work across multiple compute nodes. Support for federated queries allows you to combine and analyze data across S3 and your Atlas database clusters together with a single query. In addition, you can easily persist the results of your aggregations to either object storage or your cloud database. Supported data formats include JSON, BSON, CSV, TSV, Avro, ORC and Parquet. 

Atlas Data Lake is also the technology underpinning the Atlas Online Archive, which allows you to automatically move historical data out of your database to cloud object storage while retaining query access through the same connection string. 

The MongoDB Realm Mobile Database extends your data foundation out to the edge of the network, and is fully integrated with the MongoDB Cloud. Realm is a lightweight database embedded directly on the client device. Realm helps solve the unique challenges of building for mobile, making it simple to store data on-device and enabling data access even when offline. 

MongoDB Realm Sync is seamlessly integrated and keeps data up-to-date across devices and users by automatically, bi-directionally syncing data between the client and a backend Atlas database cluster. 

MongoDB Realm Application Services go further, simplifying the code required to stand up both mobile and web applications. Realm’s SDKs give developers the tools needed to access data stored in MongoDB Atlas directly from the client, and interact with the platform’s application services.

Competitive advantages

The MongoDB platform can be used by developers building transactional, operational, and analytical apps. Through its design, MongoDB provides a technology foundation to meet the demands of modern apps, enabling developers to work with data wherever it lives: on device, in the application’s backend database and search engine, and in the data lake.

MongoDB maintains the most valuable features of relational databases: strong consistency, ACID transactions, 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, along with the performance and resilience of NoSQL databases. As a result, developers can continuously enhance applications, and deliver them at almost unlimited scale wherever they choose to run them.

Across all of the services in the MongoDB Cloud, developers benefit from a consistent and elegant developer experienceFrom database to search to analytics on your data lake, there’s a common way of working with data that simplifies development. Unlike other cloud data platforms that require you to learn entirely different technologies and APIs, MongoDB Cloud presents all its services in a single system and with a consistent interface. 

MongoDB Cloud runs on multi-cloud infrastructure. You can choose underlying infra from AWS, GCP, or Azure and get a consistent experience, deploying and controlling clusters in different clouds from a single UI. Avoid lock-in or take advantage of different cloud vendor’s services with simple data portability across clouds.

MongoDB Cloud is fully managed for operational simplicity. From the basics of deployment automation and monitoring to advanced features like auto-scale and intelligent performance advice, MongoDB Cloud gets operations out of your way. Clusters are fully managed, data synchronization between services is automated, and making adjustments is as easy as a button click or API call.

MongoDB Cloud works with your ecosystem. Manage your infrastructure as code with Kubernetes and Terraform integrations, plug in your monitoring and alerting tools, integrate with your security environment, connect to data tools like Kafka and Spark, and work with MongoDB integrations in your usual IDEs.

Typical application scenarios

Review the MongoDB Use Case Guidance whitepaper to learn more about those use cases served by the MongoDB Data Platform, and where you should evaluate alternative solutions.

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, OTTO, Pearson, Porsche, RBS, Sage, Salesforce, SAP, Sega, Sprinklr, Telefonica, The Weather Channel, Ticketmaster, Under Armour, Verizon Wireless

See more MongoDB customers.

Market metrics
Licensing and pricing models
  • MongoDB database server: Server-Side Public License (SSPL). 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 Atlas offers a fully-managed MongoDB as a service with convenient hourly billing on ~70 regions across AWS, Azure, and Google Cloud

  • MongoDB Atlas Data Lake is a fully managed data lake service with pricing based on data scanned, data transferred and data returned, delivered in a serverless model

  • MongoDB Enterprise Advanced is licensed via RAM Pools, that can be distributed across any number of server instances, or per physical server, per year. Includes 24x7 support, advanced management software and security integrations, commercial licensing, certifications and on-demand training.

  • MongoDB Realm is the serverless application platform from MongoDB. 

  • The MongoDB Realm database is licensed under the Apache License v2.0. 

  • Consulting and training through MongoDB University are also available

Related products and services
Studio 3T: The world's favorite IDE for working with MongoDB
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
Fivetran: Quickly and easily centralize your on-premise and cloud databases.
Datadog: Visualize all your MongoDB metrics.
CData: Connect to Big Data & NoSQL through standard Drivers.

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More resources
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Conferences and events

MongoDB, Back to Basics
Webinar Recording, 27 April 2021 - 27 May 2021

Recent citations in the news

Implementing MongoDB: 6 Things to Know Beforehand
27 April 2021, TechDay News

MongoDB Stock Shows Every Sign Of Being Modestly Overvalued
30 April 2021, Yahoo Finance

OVHcloud and MongoDB partner for cloud governance and innovation
27 April 2021, Information Age

$MDB Pre-earnings Momentum Trade With a Technical Trigger
26 April 2021, CML News

We Think MongoDB Could Be Acquired In The Next 12 Months
27 April 2021, Seeking Alpha

provided by Google News

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