Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.
Based on our record, Redis should be more popular than Django Ninja. It has been mentiond 216 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> The only place I really see Django at large companies is as an api using DRF or something. This is not a bad thing. Using Django as an API backend is amazingly fast in terms of development time, especially with modern frameworks such as django-ninja [1]. Just use the built-in ORM to create models, write your endpoints, and use the built-in admin interface to play with the database if you don't have endpoints for... - Source: Hacker News / over 1 year ago
Personally, I also prefer django-ninja to DRF. Source: almost 2 years ago
Or just use django-ninja if you are writing an API. Maybe it's just because I came from teams that used tornado and then fastapi but it seems like everything in this article would be solved by using a simpler interface for writing endpoints. https://django-ninja.rest-framework.com/. - Source: Hacker News / almost 2 years ago
Also recommend Django-Ninja. It basically reimplements fastapi's type and decorator-based API construction, but embedded directly in django so you have access to django's ORM and middleware library. Source: about 2 years ago
A good compromise I have found is to use Django Ninja [1]. It is inspired by FastAPI, so it has a lot of the nice things like the automatically generated Swagger/OpenAPI docs, as well as having routers as decorators, and using python types for automatic serialization. While I think FastAPI is great in its first class async support, Django has the Django ORM, plus Django Admin, which for me have been indisposable.... - Source: Hacker News / about 2 years ago
Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 2 days ago
Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 2 days ago
Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 16 days ago
Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / about 2 months ago
FastAPI - FastAPI is an Open Source, modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
Tastypie - Tastypie is a webservice API framework for Django.
ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.
ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple
Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.