Graphene

Python's GraphQL version – Graphene – has some critical disadvantages, that we found critical: - Lack of code optimisation. It is also hard to write optimized code because of graphene node API. - Nonsecure by default. By using reversed fks, you can get a lot of extra data. To stop this, we have to explicit exclude wrong fields, which seems to be error prone. - Nonflexible code structure. You can't make abstract graphene.ObjectType class, this limits us a lot.

These are some reasons, that make us move to Django REST framework .

I've been using Django for quite a long time and in my opinion I would never switch from it. My company is currently using Django with REST framework and a part in GraphQL using Graphene. On the frontend we use Next.js and so far everything has been running quite good. I've found limitations but manage to solve it.

As someone mentioned before, if you are comfortable with Django, don't switch. There's no need since with django you can basically achieve anything. Of course this will depend on the project you want to build, but the scalability and flexibility django can offer it's just out of this world. (Don't want to sound like a fan boy haha but it really is).

We recently implemented GraphQL because we needed to build dynamic reports based on the user preference and configuration, this was extremely complicated with our actual RESTful API, the code started to get harder to maintain but switching to GraphQL helped us to to build beautiful reports for our clients that truly help them make data-driven decisions.

Our goal is to implemented GraphQL in the whole platform eventually, we are using Graphene , a python library for Django .

We recently switched from MongoDB and the Python library MongoEngine to PostgreSQL and Django in order to:

• Better leverage GraphQL (using the Graphene library)
• Allow us to use the autogenerated Django admin interface
• Allow better performance due to the way some of our pages present data
• Give us more a mature stack in the form of Django replacing MongoEngine, which we had some issues with in the past.

MongoDB was hosted on mlab, and we now host Postgres on Amazon RDS .