Get Started

Note: If you are an enterprise that uses Djongo in your products, contact us for long term support and licensing options.

Installation and Setup.

Use MongoDB as a backend database for your Django project, without changing the Django ORM. Use Django Admin to add and modify documents in MongoDB. Start using Django with MongoDB by adding just one line of code.


  1. pip install djongo
  2. Into file of your project, add:

       DATABASES = {
           'default': {
               'ENGINE': 'djongo',
               'NAME': 'your-db-name',
  3. YOU ARE SET! Have fun!


  1. Python 3.6 or higher.
  2. MongoDB 3.4 or higher.
  3. If your models use nested queries or sub querysets like:

       inner_query = Blog.objects.filter(name__contains='Ch').values('name')
       entries = Entry.objects.filter(blog__name__in=inner_query)

    MongoDB 3.6 or higher is required.

How it works

Djongo makes zero changes to the existing Django ORM framework, which means unnecessary bugs and security vulnerabilities do not crop up. It simply translates a SQL query string into a MongoDB query document. As a result, all Django features, models, etc., work as is.

Django contrib modules:


and others… fully supported.

What you get

Djongo ensures that you:

  • Reuse Django Models/ORM.
  • Work with the original Django variant.
  • Future proof your code.
  • Atomic SQL JOIN operations.

Get [expert support][support_page] for complex projects.

Rapid Prototyping

Djongo lets you rapidly develop and evolve your app models. Modifying your models is much faster with Djongo compared to traditional Django ORM. Since MongoDB is a schema-less database, every time you redefine a model, MongoDB does not expect you to redefine the schema.

Goodbye Migrations

With Djongo you permanently say goodbye to Django Migrations. To enable migration free model evolution simply set ENFORCE_SCHEMA: False in your database configuration. Djongo no longer interprets SQL DDL statements (example CREATE TABLE) to emit pymongo create_collection commands. With ENFORCE_SCHEMA: False collections are created implicitly, on the fly.

Security and Integrity Checks

Djongo allows for checks on data fields before they are saved to the database. Running the correct integrity checks and field value validators before writing data into the database is important.


Apply validators to each field before they are saved.

from django.core.exceptions import ValidationError
from django.utils.translation import gettext_lazy as _
from djongo import models
from django.core.validators import URLValidator

def script_injection(value):
    if value.find('<script>') != -1:
        raise ValidationError(_('Script injection in %(value)s'),
                              params={'value': value})

class Address(models.Model)
    city = models.CharField(max_length=50)
    homepage = models.URLField(validators=[URLValidator, script_injection])
    class Meta:

class Entry(models.Model):
    _id = models.ObjectIdField()
    address = models.EmbeddedField(model_container=Address)

Integrity checks

class Entry(models.Model):
    _id = models.ObjectIdField()
    address = models.EmbeddedField(model_container=Address,

By setting null=False, blank=False in EmbeddedField, missing values are never stored.

Using MongoDB Fields


Nest a dict inside a model with the EmbeddedField. The model_container is used to describe the structure of the data being stored.

from djongo import models

class Blog(models.Model):
    name = models.CharField(max_length=100)

    class Meta:
        abstract = True

class Entry(models.Model):
    blog = models.EmbeddedField(
    headline = models.CharField(max_length=255)    

e = Entry() = {
    'name': 'Djongo'
e.headline = 'The Django MongoDB connector'


Nest a list of dict inside a model for more complex data.

from djongo import models

class Entry(models.Model):
    blog = models.ArrayField(
    headline = models.CharField(max_length=255)    

e = Entry() = [
    {'name': 'Djongo'}, {'name': 'Django'}, {'name': 'MongoDB'}
e.headline = 'Djongo is the best Django and MongoDB connector'


Features under development at DjongoNxt are not a part of the standard Djongo package. Visit the [support page][support_page] for more information.

DjongoNxt brings support to all features of MongoDB features including:


Support for indexes provided by MongoDB, for example 2dSphere Index, Text Index and Compound Indexes.

Model Query

Support for GeoSpatial Queries and Tailable Cursors.

Model Update

Unordered and Ordered Bulk Writes.

Database Transactions

Atomic multi document transactions with commit and rollback support.

Schema Validation and Model Creation

Automatic JSON Schema validation document generation and options to add Read and Write Concerns for the Models.

Aggregation Operators

Support for various aggregation operators provided by MongoDB.


If you think djongo is useful, please share it with the world! Your endorsements and online reviews will help get more support for this project.

You can contribute to the source code or the documentation by creating a simple pull request! You may want to refer to the design documentation to get an idea on how Django MongoDB connector is implemented.

Please contribute to the continued development and success of Djongo by [making a donation][support_page].