Django Q & A


How integrate Django with a NoSQL database like MongoDB?

Integrating Django with a NoSQL database like MongoDB can be a useful choice when you have data that doesn’t fit well into a traditional relational database schema. To achieve this integration, you can use Django’s `django-nonrel` project along with the `django-mongodb-engine` driver. Here’s a step-by-step guide on how to do it:


  1. Install Required Packages:

   Start by installing the necessary packages:


   pip install django-nonrel

   pip install django-mongodb-engine



  1. Configure Your Django Project:

   In your Django project’s settings, make the following changes:



       'default': {

           'ENGINE': 'django_mongodb_engine',

           'NAME': 'your_database_name',




       # ...



       # ...



   Replace `’your_database_name’` with the name of your MongoDB database.


  1. Define Models:

   You can create Django models as you would for a relational database, but keep in mind that NoSQL databases like MongoDB are schema-less, allowing for flexible data structures. Here’s an example:


   from django.db import models

   class Product(models.Model):

       name = models.CharField(max_length=100)

       description = models.TextField()

       price = models.DecimalField(max_digits=10, decimal_places=2)



  1. Migrate Your Models:

   Run the following command to create collections for your models in MongoDB:


   python syncdb



  1. Query and Interact with MongoDB:

   You can use Django’s query API to interact with MongoDB just like you would with a traditional database. However, keep in mind that some advanced MongoDB features, like complex aggregations, may require using MongoDB’s native query language.


   # Query all products

   products = Product.objects.all()

   # Filter products

   expensive_products = Product.objects.filter(price__gte=100)

   # Create a new product

   new_product = Product(name="New Product", description="A new product", price=50)



By following these steps, you can integrate Django with MongoDB, allowing you to leverage the flexibility and scalability of a NoSQL database while still benefiting from Django’s robust development framework. This can be particularly useful when dealing with data that doesn’t fit neatly into a relational model or when you need to handle large volumes of unstructured or semi-structured data.

Previously at
Flag Argentina
time icon
Experienced Full-stack Developer with a focus on Django, having 7 years of expertise. Worked on diverse projects, utilizing React, Python, Django, and more.