We offer a document-based, distributed database built to handle the data of any application you're building.
Available on AWS, Azure, and Google Cloud.
A multi-cloud database service available on AWS, Google Cloud, and Azure. Automated and secure, Atlas provides continuous availability, elastic scalability, and support with regulatory compliance.
MongoDB Realm's services and SDKs accelerate development of both mobile and web apps. Realm manages on-device data for mobile apps and automatically syncs to a backend.
A modern data visualization tool that is integrated with the MongoDB data framework. It's the best way to create, share and embed visualizations of your data.
{
"_id": "5cf0029caff5056591b0ce7d",
"firstname": "Jane",
"lastname": "Wu",
"address": {
"street": "1 Circle Rd",
"city": "Los Angeles",
"state": "CA",
"zip": "90404"
},
"hobbies": ["surfing", "coding"]
}
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" } }
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()
Distributed multi-document ACID transactions with snapshot isolation.
Support for joins in queries.
Two types of relationships instead of one: reference and embedded.