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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
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 release6.0.1, August 2022
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 Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.
  • 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 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. 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
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, 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’s application data platform provides developers a unified interface to power operational and transactional database requirements plus search, real-time and data lake applications needs. This enables developers to move fast and simplify how they build with data for almost any class of application. 

In its most recent developer survey, Stack Overflow names MongoDB as the database developers most wanted to use. 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, giving developers the easiest and most intuitive way to work with data. 

2. The MongoDB Query API, giving developers the fastest way to innovate in building transactional, operational and analytical applications.

3. Delivered as a multi-cloud, global platform, giving developers the freedom to run their applications anywhere with the flexibility to move data across private and public clouds as requirements evolve – without having to change a single line of code. Atlas enables customers to take advantage of MongoDB’s capabilities across AWS, Azure, and GCP without needing to deploy, operate, and scale the software or underlying infrastructure themselves. 

All of this comes together as the MongoDB Application Data Platform, providing a unified developer experience for modern applications that span cloud to edge.

MongoDB Atlas Search exposes a fully-managed Apache Lucene index directly on top of the MongoDB database, enabling developers to create rich, relevance-based search experiences without having to move their data into a separate search engine. Atlas Search offers advanced full-text search features including auto-complete, typo tolerance, function scoring, and synonyms – all fully integrated into the MongoDB API so developers don’t need to context switch to another query language. 

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 API.

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 allows developers to store data locally on iOS and Android devices using a rich data model that’s intuitive to them. Combined with the MongoDB Realm sync-to-Atlas, Realm makes it simple to build reactive, reliable apps that work even when users are offline.

MongoDB Realm Application Services allow developers to validate and build key features quickly. Application development services like Realm Sync for mobile and Realm’s GraphQL service, can be used with Realm Functions, Triggers, and Data Access Rules – all simplifying the code required to build secure and performant apps.

All of the components of MongoDB’s application data platform are designed to  accelerate developer productivity and eliminate the tax on innovation that comes with sprawling data infrastructures. We believe it provides the best approach with a unified interface that can support any type of application workload, without limiting you to a single deployment environment.

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 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.

The MongoDB application data platform 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  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
  • 200+ million downloads, over 1.5M Atlas database clusters under management handling tens of PBs of data, and serving hundreds of billions of queries every day.

  • 30,000+ customers in more than 100 countries around the world. Includes more than 50% of the Fortune 100

  • The database developers most wanted to use in the 2020 Stack Overflow Developer survey (4th year in a row)

  • Named a leader in the Forrester Wave™: Big Data NoSQL, Q1 2019 and the Forrester Wave™: Database-As-A-Service Q2 2019

  • 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
  • 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.

  • MongoDB Documentation: Creative Commons.

  • MongoDB Atlas offers a fully-managed MongoDB as a service with pay-as-you-go billing on ~80 regions across AWS, Azure, and Google Cloud

  • MongoDB Atlas Search enables you to compress three systems into one and ship 30%-50% faster. By bringing together database, sync, and search into a single, unified and fully managed platform, Atlas Search is the fastest and easiest way to build full-text search directly into your applications.

  • 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
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Recent citations in the news

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