djongo VS django-redis

This open issue has some discussion on dependency wonkiness that helped me fix mine.

To try and save on costs and because I like NoSQL databases, I wanted to put my database up on Cosmos DB. The easiest way to do this was with its MongoDB API and the Djongo backend.

If you want to go with Mongodb you should try Djongo https://www.djongomapper.com/

This was my first time using MongoDB as the database for a website which was a really great experience of using NoSQL specially MongoDB Atlas, I'm also planning to use it in my future projects. I learned about pymongo package and djongo availabe for python. I took help from How to Use Django with MongoDB document. Initially I started researching about Atlas search and how to use them using the Atlas Search Docs.

djongo

I can't wait to connect Djongo to my MangoDB

Redis is an open-source data-structure store that can be used as a database, cache, message broker, etc. To start using Redis in your Django application, you need to first install the django-redis library. The library makes it easier to connect your Django application to Redis.

To implement caching in Django application. First, set up your Django project and application. Then install django-redis, a project by Jazzband:

django-redis

This isn't such a big deal... There are great third-party packages (i.e https://github.com/jazzband/django-redis) for whoever needs a redis cache backend in a project.

Myself, I just use good ol' memcached for all my caching needs (https://docs.djangoproject.com/en/3.2/topics/cache/#memcache...). It is rock solid and has never failed me till now!

If your example of the counter is accurate for what you want to do, it might be faster using django-redis as your cache backend and using the incr method (which adds one to a given cache key). Repeatedly inserting and deleting database records is much slower than cache operations like that would be. Or is there a way you can avoid deleting database records, and modify existing values?