How to Use Django with MongoDB

Yes, there are three ways to use MongoDB with Django.

• PyMongo is the official way to connect MongoDB with Django and is supported by MongoDB. It is the native Python driver for MongoDB. It supports MongoDB versions 2.6, 3.x, 4.0, and 4.2.
• MongoEngine is a Document-Object Mapper similar to an ORM in relational databases. It uses a declarative API to build Django projects using MongoDB. It is a library that provides abstraction over and above PyMongo.
• Djongo is an SQL to MongoDB transpiler for Django projects and is an extension to the traditional Django ORM framework. Djongo maps Python objects to MongoDB documents.

Django is an extremely popular Python web application framework. MongoDB provides a highly scalable, flexible way to store and retrieve huge volumes of unstructured data. Combining Django and MongoDB offers the benefits of both along with high application performance.

There are three ways to connect Django with MongoDB. They are PyMongo, MongoEngine, and Djongo.

PyMongo is the officially supported way to connect Django and MongoDB. Using MongoEngine provides additional support for Python list and dict objects in Django model objects. If your project uses a relational database and you want to migrate to a non-relational database, like MongoDB, Djongo is a good option that transpiles SQL query string to MongoDB query documents.

Django is a web framework for Python, which is best known for its applications in data science. Although relational databases are quite popular because of their usage. Developers are starting to shift towards NoSQL databases due to the scalability, availability, and flexibility they offer. MongoDB, one of the most popular NoSQL databases, stores unstructured data in the form of collections and documents that are easy to retrieve. MongoDB also provides Charts, through which you can perform simple aggregations and view visualizations helpful for data analysis.