The most popular database for modern apps

The database for modern applications

MongoDB’s document data model naturally supports JSON and its expressive query language is simple for developers to learn and use. Functionality such as automatic failover, horizontal scaling, and the ability to assign data to a location are built-in.

Flexible and intuitive data model

Data as code

Unlimited scalability

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Modernize your data infrastructure

Radically simplify your data infrastructure with an application data platform that powers your transactional, search, mobile, and real-time analytics workloads on any cloud.

Fully managed

Unified API

Transparent data movement

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Powering mission-critical applications and systems for global organizations

the document data model

The most intuitive way to work with the data generated by today's applications

Rich JSON Documents

Documents map to how developers code, support arrays and nested objects as values, and allow for flexible and dynamic schemas.

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json

{
  "_id": "5cf0029caff5056591b0ce7d",
  "firstname": "Jane",
  "lastname": "Wu",
  "address": {
    "street": "1 Circle Rd",
    "city": "Los Angeles",
    "state": "CA",
    "zip": "90404"
  },
  "hobbies": ["surfing", "coding"]
}

Work with data as code

Easily composable queries that allow you to filter and sort by any field, no matter how nested, with support for aggregations, geo-location, graph search, time-series and more.

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bash


> db.users.find({ "address.zip" : "90404" })
{ "_id": "5cf0029caff5056591b0ce7d", "firstname": "Jane", "lastname": "Wu", "address": { "zip": "90404" } }
{ "_id": "507f1f77bcf86cd799439011", "firstname": "Jon", "lastname": "Davis", "address": { "zip": "90404" } }
{ "_id": "5349b4ddd2781d08c09890f3", "firstname": "Jim", "lastname": "White", "address": { "zip": "90404" } }
{ "_id": "5bf142459b72e12b2b1b2cd", "firstname": "Jeff", "lastname": "Taylor", "address": { "zip": "90404" } }
{ "_id": "5cf003283b23d04a40d5f88a", "firstname": "Jerry", "lastname": "Miller", "address": { "zip": "90404" } }
{ "_id": "5bf142459b72e12b2b1b2cd", "firstname": "Jai", "lastname": "Williams", "address": { "zip": "90404" } }
{ "_id": "5cf0036deaa1742dd225ea35", "firstname": "Jess", "lastname": "Johnson", "address": { "zip": "90404" } }
{ "_id": "54495ad94c934721ede76d90", "firstname": "Jill", "lastname": "Brown", "address": { "zip": "90404" } }
{ "_id": "566eb3c704c7b31facbb0007", "firstname": "Janet", "lastname": "Jones", "address": { "zip": "90404" } }
{ "_id": "5a999cc461d36489a27f2563", "firstname": "Jan", "lastname": "Smith", "address": { "zip": "90404" } }

Support complex requirements

Address your most sophisticated application requirements with joins, distributed multi-document ACID transactions, and more.

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python

session.start_transaction()
order = { line_items : [ { item : 5, quantity: 6 } ] }
db.orders.insertOne( order, session=session );
for x in order.line_items:
  db.inventory.update(
    { _id  : x.item } ,
    { $inc : { number : -1 * x.quantity } },
    session=session
  )
session.commit_transaction()

json

{
  "_id": "5cf0029caff5056591b0ce7d",
  "firstname": "Jane",
  "lastname": "Wu",
  "address": {
    "street": "1 Circle Rd",
    "city": "Los Angeles",
    "state": "CA",
    "zip": "90404"
  },
  "hobbies": ["surfing", "coding"]
}

bash


> db.users.find({ "address.zip" : "90404" })
{ "_id": "5cf0029caff5056591b0ce7d", "firstname": "Jane", "lastname": "Wu", "address": { "zip": "90404" } }
{ "_id": "507f1f77bcf86cd799439011", "firstname": "Jon", "lastname": "Davis", "address": { "zip": "90404" } }
{ "_id": "5349b4ddd2781d08c09890f3", "firstname": "Jim", "lastname": "White", "address": { "zip": "90404" } }
{ "_id": "5bf142459b72e12b2b1b2cd", "firstname": "Jeff", "lastname": "Taylor", "address": { "zip": "90404" } }
{ "_id": "5cf003283b23d04a40d5f88a", "firstname": "Jerry", "lastname": "Miller", "address": { "zip": "90404" } }
{ "_id": "5bf142459b72e12b2b1b2cd", "firstname": "Jai", "lastname": "Williams", "address": { "zip": "90404" } }
{ "_id": "5cf0036deaa1742dd225ea35", "firstname": "Jess", "lastname": "Johnson", "address": { "zip": "90404" } }
{ "_id": "54495ad94c934721ede76d90", "firstname": "Jill", "lastname": "Brown", "address": { "zip": "90404" } }
{ "_id": "566eb3c704c7b31facbb0007", "firstname": "Janet", "lastname": "Jones", "address": { "zip": "90404" } }
{ "_id": "5a999cc461d36489a27f2563", "firstname": "Jan", "lastname": "Smith", "address": { "zip": "90404" } }

python

session.start_transaction()
order = { line_items : [ { item : 5, quantity: 6 } ] }
db.orders.insertOne( order, session=session );
for x in order.line_items:
  db.inventory.update(
    { _id  : x.item } ,
    { $inc : { number : -1 * x.quantity } },
    session=session
  )
session.commit_transaction()

Developer Resources

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Technical documentation

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Developer community

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Cloud or Self-Managed

Choose the right deployment model for your organization

MongoDB Atlas

Multi-cloud database service

The most advanced cloud database on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and performance optimization, and much more.

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MongoDB Enterprise Advanced

Run it yourself

Run MongoDB on-premises or in your private & hybrid cloud environments with confidence using enterprise-grade security capabilities and a package of software, support, and services designed to help your teams reduce cost, risk, and effort.

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MongoDB Cloud

A data platform for builders.

Faster mobile app development

Rapidly build best-in-class apps across Android, iOS, and web that reliably sync between devices and your backend.

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Native data visualization

Easily create rich data visualizations, share them in dashboards, or embed them in your apps.

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Integrated full-text search

Build fast and relevance-based search capabilities to help your users find what they need, without a separate search technology.

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Customer Stories

Trusted by thousands of organizations, from startup to enterprise

Forbes

Cloud Migration for Innovation

Toyota Material Handling

Creates a Smart Factory

KPMG

Global financial services

We're very glad we moved to the cloud when we did. Shifting quickly to Google Cloud and MongoDB Atlas put us in a position to innovate and thrive even in the most difficult circumstances.

Vadim Supitskiy, Chief Technology Officer

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For the developers, it is easy, really easy for them to work with quickly. Spending time on building business value, rather than data modeling.

Filip Dadgar, Principal Solutions Architect and IT Manager

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MongoDB Atlas automated the configuration and provisioning of MongoDB instances onto Azure, and we rely on it now to handle on-going upgrades and maintenance. A few simple clicks in the UI eliminates the need for us to develop our own configuration management scripts.

Christian Taltas, Managing Director of KPMG France Technologies Services

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