The better way to build with data

Accelerate your innovation with MongoDB Atlas, a flexible data platform
designed to help you build, scale, and iterate.


As a developer, you think in objects. Now your database does too.

MongoDB is a document database, which means it stores data in JSON-like documents. We believe this is the most natural way to think about data. Learn more →
  "_id": "5cf0029caff5056591b0ce7d",
  "firstname": "Jane",
  "lastname": "Wu",
  "address": {
    "street": "1 Circle Rd",
    "city": "Los Angeles",
    "state": "CA",
    "zip": "90404"
  "hobbies": ["surfing", "coding"]

Rich JSON Documents

  • The most natural and productive way to work with data.

  • Supports arrays and nested objects as values.

  • Allows for flexible and dynamic schemas.

> db.users.find({ "" : "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" } }

Powerful query language

  • Rich and expressive query language that allows you to filter and sort by any field, no matter how nested it may be within a document.

  • Support for aggregations and other modern use-cases such as geo-based search, graph search, and text search.

  • Queries are themselves JSON, and thus easily composable. No more concatenating strings to dynamically generate SQL queries.

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

All the power of a relational database, and more...

  • Distributed multi-document ACID transactions with snapshot isolation.

  • Support for joins in queries.

  • Two types of relationships instead of one: reference and embedded.


Move faster with MongoDB Atlas

MongoDB Atlas is the multi-cloud database service for MongoDB available on AWS, Google Cloud, and Azure. Best-in-class automation and built-in proven practices provide continuous availability, elastic scalability, and support with regulatory compliance. Learn more →

Multi-cloud data distribution

Low-latency access, improved availability, data sovereignty, and more

Auto-pilot capabilities

Bidirectional auto-scaling, intelligent index recommendations, and schema guidance

Advanced data privacy protection

Unparalleled data privacy protection with client-side field level encryption

Automated data archival

Automatic tiering of historical data into queryable archival storage

Launch a free Atlas cluster

Get started with 512 MB of storage for free — the perfect size for learning and building with your first application.


Build more with MongoDB Cloud

MongoDB Cloud goes beyond the database to power projects including transactional applications, analytics, search, mobile, data lake, and more. All the components are seamlessly connected and deliver a consistent experience, making it stunningly easy to work with data.
Learn more →

Get started with MongoDB Cloud

Launch an Atlas cluster, start a Realm project, analyze data with Charts, and more.