Try MongoDB free in the cloud!As a programmer, you think in objects. Now your database does too.
{
"_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({ "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" } }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.
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()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.
MongoDB Atlas - the global cloud database
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
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Secure for
sensitive data
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Designed for developer productivity
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Reliable for
mission-critical workloads
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Built for optimal
performance
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Managed for
operational efficiency
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More than just a database
Charts
The fastest way to create visualizations of MongoDB data.
Built for the document model.
Visualize live data from any of your MongoDB instances. Available on MongoDB Atlas.
BI Connector
Allow any BI tool that can speak the MySQL protocol to work with your MongoDB data.
Leverage the BI tools your organization already uses.
Perform federated analytics, combining data from MongoDB and other databases.
Compass
Search, visualize, and work with your data through an intuitive GUI.
Manipulate your data with a powerful visual editing tool.
Understand performance issues with visual explain plans and manage your indices.