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MongoDB –A complete data framework
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.
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.
MongoDB AtlasOur database as a service
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 RealmTo build offline-first apps
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.
MongoDB ChartsFor native data visualization
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.
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.