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  1. Stackups
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  5. Django REST framework vs Spark Framework

Django REST framework vs Spark Framework

OverviewDecisionsComparisonAlternatives

Overview

Django REST framework
Django REST framework
Stacks1.9K
Followers2.1K
Votes312
Spark Framework
Spark Framework
Stacks39
Followers91
Votes7
GitHub Stars9.7K
Forks1.6K

Django REST framework vs Spark Framework: What are the differences?

  1. 1. Design and Purpose:

    • Django REST framework: Django REST framework is a powerful and flexible toolkit for building Web APIs. It is built on top of the Django web framework, which provides a solid foundation for developing robust and scalable web applications.
    • Spark Framework: Spark Framework is a lightweight and expressive Java web framework that aims to simplify the development of web applications. It provides a simple and intuitive API for building RESTful web services.
  2. 2. Language/Platform:

    • Django REST framework: Django REST framework is primarily used with Python and the Django web framework.
    • Spark Framework: Spark Framework is built with Java and is mainly used with the Java platform.
  3. 3. Scalability and Performance:

    • Django REST framework: Django REST framework provides various features and optimizations for building highly scalable and performant APIs. It supports caching, pagination, throttling, and other performance-enhancing techniques.
    • Spark Framework: Spark Framework is designed to be lightweight and efficient, making it suitable for building high-performance web applications. It utilizes an event-driven and non-blocking architecture for handling concurrent requests efficiently.
  4. 4. Ecosystem and Community Support:

    • Django REST framework: Django REST framework has a large and active community with a wide range of third-party packages and libraries available. It has extensive documentation and a lot of community support, making it easy to find solutions to common problems.
    • Spark Framework: While Spark Framework is growing in popularity, its ecosystem and community support are not as extensive as Django REST framework. It may be challenging to find as many resources and libraries for specific use cases.
  5. 5. Authentication and Authorization:

    • Django REST framework: Django REST framework provides built-in support for user authentication and authorization. It includes various authentication methods like token authentication, session authentication, and OAuth. It also provides permission classes for fine-grained access control.
    • Spark Framework: Spark Framework does not provide built-in authentication and authorization features out of the box. However, it can be integrated with other libraries and frameworks to add these functionalities.
  6. 6. Database and ORM Support:

    • Django REST framework: Django REST framework works seamlessly with the Django ORM (Object-Relational Mapping), allowing easy integration with various databases. It provides powerful ORM features like querysets, model serializers, and automatic database migrations.
    • Spark Framework: Spark Framework does not have an in-built ORM. However, it can be used with other Java ORM frameworks like Hibernate or JPA for database operations.

In Summary, Django REST framework is a powerful and feature-rich toolkit built on top of the Django web framework, providing extensive scalability, performance, authentication, and ORM support. On the other hand, Spark Framework is a lightweight and expressive Java web framework that focuses on simplicity and efficiency, but with a smaller ecosystem and community support.

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Advice on Django REST framework, Spark Framework

Kristan Eres
Kristan Eres

Senior Solutions Analyst

Jul 30, 2020

Needs adviceonDjangoDjangoPythonPythonFlaskFlask

My journey to developing REST APIs started with Flask Restful, and I've found it to be enough for the needs of my project back then. Now that I've started investing more time on personal projects, I've yet to decide if I should move to use Django for writing REST APIs. I often see job posts looking for Python+Django developers, but it's usually for full-stack developers. I'm primarily interested in Data Engineering, so most of my web projects are back end.

Should I continue with what I know (Flask) or move on to Django?

392k views392k
Comments
Saurav
Saurav

Application Devloper at Bny Mellon

Mar 27, 2020

Needs advice

I have just started learning Python 3 weeks ago. I want to create a REST API using python. The API will be used to save form data in an Oracle database. The front end is using AngularJS 8 with Angular Material. In python, there are so many frameworks to develop REST APIs.

I am looking for some suggestions which REST framework to choose?

Here are some features I am looking for:

  • Easy integration and unit testing, like in Angular. We just want to run a command.

  • Code packaging, like in java maven project we can build and package. I am looking for something which I can push in as an artifact and deploy whole code as a package.

  • Support for swagger/ OpenAPI

  • Support for JSON Web Token

  • Support for test case coverage report

Framework can have features included or can be available by extension. Also, you can suggest a framework other than the ones I have mentioned.

337k views337k
Comments
Juan José
Juan José

May 1, 2020

Decided

I developed Hexagon heavily inspired in these great tools because of the following reasons:

  • Take full advantage of the Kotlin programming language without any strings attached to Java (as a language).
  • I wanted to be able to replace the HTTP server library used with different adapters (Jetty, Netty, etc.) and though right now there is only one, more are coming.
  • Have a complete tool to do full applications, though you can use other libraries, Hexagon comes with a dependency injection helper, settings loading from different sources and HTTP Client, so it comes with (batteries included).

Right now I'm using it for my pet projects, and I'm happy with it.

35.9k views35.9k
Comments

Detailed Comparison

Django REST framework
Django REST framework
Spark Framework
Spark Framework

It is a powerful and flexible toolkit that makes it easy to build Web APIs.

It is a simple and expressive Java/Kotlin web framework DSL built for rapid development. Its intention is to provide an alternative for Kotlin/Java developers that want to develop their web applications as expressive as possible and with minimal boilerplate.

The Web browsable API is a huge usability win for your developers.;Authentication policies including OAuth1a and OAuth2 out of the box.;Serialization that supports both ORM and non-ORM data sources.;Customizable all the way down - just use regular function-based views if you don't need the more powerful features.;Extensive documentation, and great community support.;Used and trusted by large companies such as Mozilla and Eventbrite.
Built for productivity; Lets you take full advantage of the JVM
Statistics
GitHub Stars
-
GitHub Stars
9.7K
GitHub Forks
-
GitHub Forks
1.6K
Stacks
1.9K
Stacks
39
Followers
2.1K
Followers
91
Votes
312
Votes
7
Pros & Cons
Pros
  • 67
    Easy to use
  • 65
    Browsable api
  • 53
    Great documentation
  • 51
    Customizable
  • 42
    Fast development
Cons
  • 2
    Reimplements Django functionality
  • 2
    Bad documentation
  • 1
    No support for URL Namespaces
  • 0
    Bad CSRF handling
Pros
  • 2
    Very easy to get up and running. Lovely API
  • 1
    Ideal for microservices
  • 1
    Native paralelization
  • 1
    Fast
  • 1
    Easy
Integrations
Rollbar
Rollbar
Sentry
Sentry
Django
Django
Stream
Stream
Kloudless
Kloudless
Kotlin
Kotlin
Java
Java

What are some alternatives to Django REST framework, Spark Framework?

Node.js

Node.js

Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.

Rails

Rails

Rails is a web-application framework that includes everything needed to create database-backed web applications according to the Model-View-Controller (MVC) pattern.

Django

Django

Django is a high-level Python Web framework that encourages rapid development and clean, pragmatic design.

Laravel

Laravel

It is a web application framework with expressive, elegant syntax. It attempts to take the pain out of development by easing common tasks used in the majority of web projects, such as authentication, routing, sessions, and caching.

.NET

.NET

.NET is a general purpose development platform. With .NET, you can use multiple languages, editors, and libraries to build native applications for web, mobile, desktop, gaming, and IoT for Windows, macOS, Linux, Android, and more.

ASP.NET Core

ASP.NET Core

A free and open-source web framework, and higher performance than ASP.NET, developed by Microsoft and the community. It is a modular framework that runs on both the full .NET Framework, on Windows, and the cross-platform .NET Core.

ExpressJS

ExpressJS

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

Symfony

Symfony

It is written with speed and flexibility in mind. It allows developers to build better and easy to maintain websites with PHP..

Spring

Spring

A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.

Spring Boot

Spring Boot

Spring Boot makes it easy to create stand-alone, production-grade Spring based Applications that you can "just run". We take an opinionated view of the Spring platform and third-party libraries so you can get started with minimum fuss. Most Spring Boot applications need very little Spring configuration.

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