In MongoDB, JSON is the primary data format for storing and working with data. MongoDB stores data in a binary-encoded format called BSON (Binary JSON), which is a superset of JSON that includes additional data types and features.

MongoDB uses JSON-like documents to represent data in the database. These documents are stored in collections, which are similar to tables in a traditional relational database. Each document is a self-contained unit that represents a single instance of data, and can contain any number of fields, with each field consisting of a key-value pair.

{
"name":"Joes",
"age":35,
"gender":"male",
"married":true,
"address":{
"street":"cherry Road",
"city":"Salem",
"state":"Tamil Nadu"
},
"hobbies":[
{
"name":"Cooking"
},
{
"name":"Sports"
}
]
}
 

The JSON-like format of MongoDB documents allows for flexible data modeling, since documents in a collection do not have to follow a fixed schema. This makes MongoDB well-suited for use cases where the structure of data can change frequently, such as in web and mobile applications.

In MongoDB, JSON is used not only for data storage, but also for data querying and manipulation. MongoDB provides a rich set of query operators and aggregation functions that allow you to work with and analyze JSON-like documents in powerful and flexible ways. Overall, JSON is an essential part of working with MongoDB, as it is the primary format for representing and working with data in the database.