Context

• What is Graphene?
  Graphene is a popular Python GraphQL framework that integrates tightly with Django, providing tools to expose Django models and queries over a GraphQL API.

• Why is this an important feature to implement?
  Users adopting Django MongoDB Backend often also use GraphQL for modern APIs; first-class Graphene compatibility would let them expose MongoDB-backed Django models without custom glue code, aligning with expectations set by Django’s SQL backends and improving the overall story alongside DRF support.

• User Request

Thanks for bringing this update to Django! It's really appreciates that NoSQL alternatives are being considered for such a loved framework. I'm currently reading through the project current limitations, and it seems like the basics are well covered, Geospatial Queries will be a great addition in the future. Additionally, having DRF support as a priority is a big plus. I'm curious if Graphene or Django Ninja is on your compatibility roadmap?

Acceptance Criteria

• What does implementation look like with respect to Django-MongoDB-Backend?

• • Documented guidance (or utilities) for defining Graphene types from MongoDB-backed Django models using this backend.
  • Query and mutation examples that show end‑to‑end CRUD against MongoDB collections via Graphene.
  • Verified behavior for common patterns (filtering, pagination-style patterns, and nested/embedded documents) so that they work or are clearly documented as unsupported.

Pitfalls

• Identify any pitfalls

• • Graphene’s assumptions are largely shaped by relational/Django ORM patterns; some features (complex joins, certain aggregations) may not map cleanly to MongoDB.
  • Embedded documents and polymorphic data may require custom resolvers or non-trivial schema design.
  • Maintaining compatibility across Graphene and Django versions, as well as evolving backend features (e.g., geospatial, aggregation), can increase the surface area of ongoing support.