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Django Ninja VS Redis

Compare Django Ninja VS Redis and see what are their differences

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Django Ninja logo Django Ninja

Django Ninja - Django REST framework with high performance, easy to learn, fast to code.

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • Django Ninja Landing page
    Landing page //
    2023-08-22
  • Redis Landing page
    Landing page //
    2022-10-19

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.

Django Ninja features and specs

  • Fast Development
    Django Ninja allows for rapid development of REST APIs due to its declarative syntax and automatic generation of OpenAPI documentation.
  • Type Safety
    It supports Python type hinting which provides type safety and better integration with modern Python development practices.
  • Auto Validation
    With built-in support for Pydantic, input data is automatically validated which ensures data integrity and reduces boilerplate code.
  • Integration with Django
    It integrates seamlessly with Django, allowing developers to leverage existing models, views, and authentication mechanisms.
  • Lightweight
    Django Ninja is lightweight and designed to add minimal overhead to Django applications, thus improving performance.

Possible disadvantages of Django Ninja

  • Limited Ecosystem
    Compared to Django REST Framework, the ecosystem and community around Django Ninja are smaller, leading to fewer third-party packages and community resources.
  • Feature Set
    Django Ninja offers a more limited set of features compared to mature frameworks like Django REST Framework which may lack advanced functionalities required for complex applications.
  • Learning Curve
    While the framework is designed to be simple, developers may still face a learning curve, especially if they are not familiar with type hinting and Pydantic.
  • Documentation
    The documentation, while improving, is not as extensive or detailed as some more established frameworks, which can make implementation more challenging.

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

Django Ninja videos

Django Ninja Gold

Redis videos

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Category Popularity

0-100% (relative to Django Ninja and Redis)
Application And Data
100 100%
0% 0
Databases
0 0%
100% 100
Web Frameworks
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Django Ninja and Redis

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Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.

Social recommendations and mentions

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.

Django Ninja mentions (26)

  • Building a Blog in Django
    > 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
  • Learning Django
    Personally, I also prefer django-ninja to DRF. Source: almost 2 years ago
  • Django Views – The Right Way
    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
  • Django 4.2 released
    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
  • Django 4.2 Released
    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
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Redis mentions (216)

  • Finding Bigfoot with Async Generators + TypeScript
    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
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 2 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    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
  • Setup a Redis Cluster using Redis Stack
    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
  • Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
    Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / about 2 months ago
View more

What are some alternatives?

When comparing Django Ninja and Redis, you can also consider the following products

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.