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  1. Stackups
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  5. Dropwizard vs Play vs Spring

Dropwizard vs Play vs Spring

OverviewDecisionsComparisonAlternatives

Overview

Spring
Spring
Stacks3.9K
Followers4.8K
Votes1.1K
GitHub Stars59.1K
Forks38.8K
Play
Play
Stacks752
Followers609
Votes496
GitHub Stars12.6K
Forks4.1K
Dropwizard
Dropwizard
Stacks309
Followers366
Votes182
GitHub Stars8.6K
Forks3.4K

Dropwizard vs Play vs Spring: What are the differences?

Key Differences between Dropwizard, Play, and Spring

Dropwizard, Play, and Spring are all popular frameworks used in web development. However, they have some key differences that set them apart. Here are the top 6 differences between Dropwizard, Play, and Spring.

  1. Ease of Use: Dropwizard takes a minimalist approach and aims to simplify the process of building and deploying high-performance web applications. It provides a streamlined development experience with opinionated defaults and out-of-the-box functionality. On the other hand, Play offers a more extensive set of features and tools, making it suitable for complex applications. Spring, being a comprehensive framework, offers a wide range of options and configurations, providing great flexibility but also requiring more initial setup.

  2. Language Support: Dropwizard is primarily focused on developing Java-based applications. It leverages popular libraries like Jersey for RESTful API development. Play, on the other hand, supports multiple languages, including Java and Scala, which allows developers to choose their preferred language for development. Spring also supports multiple programming languages and has extensive support for Java, but it also offers compatibility with Kotlin and Groovy.

  3. Concurrency Model: Play adopts an asynchronous and non-blocking approach, making it highly suitable for handling a large number of concurrent requests and event-driven architectures. It utilizes Akka and its actor model for enhanced scalability. Dropwizard, on the other hand, follows a traditional synchronous model but provides excellent performance and scalability through the efficient use of resources. Spring supports both synchronous and asynchronous programming paradigms, allowing developers to choose the appropriate approach based on their requirements.

  4. Configuration and Packaging: Dropwizard emphasizes a convention-over-configuration approach, making it easy to configure and package applications. It provides a simple YAML configuration for managing application settings. Play also adopts a convention-based approach and uses the Typesafe Config library for configuration. Spring, being highly modular and flexible, provides multiple options for configuration, including XML, Annotations, and Java-based configuration, allowing developers to choose their preferred style.

  5. HTTP Server: Dropwizard comes with an embedded Jetty server by default, ensuring efficient handling of web requests. Play, on the other hand, includes its own lightweight server called Netty, which provides excellent performance and scalability. Spring also provides an embedded web server, Tomcat or Jetty, but it can also be easily deployed to any standard Java EE application server.

  6. Database Integration: Dropwizard has built-in support for integrating with various databases, including JDBC and JPA. It provides seamless integration for managing database migrations. Play offers a powerful ORM (Object-Relational Mapping) called Ebean, which simplifies database management and querying. Spring, being highly modular, offers a wide range of options for database integration, including JDBC, JPA, Hibernate, and NoSQL databases like MongoDB.

In summary, Dropwizard is focused on simplicity, Play offers extensive features and language support, and Spring provides great flexibility and comprehensive options. The choice of framework depends on the specific requirements and preferences of the development team.

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Advice on Spring, Play, Dropwizard

Tushar
Tushar

Jan 7, 2021

Needs adviceonSpringSpringSpring BootSpring BootDjangoDjango

Is learning Spring and Spring Boot for web apps back-end development is still relevant in 2021? Feel free to share your views with comparison to Django/Node.js/ ExpressJS or other frameworks.

Please share some good beginner resources to start learning about spring/spring boot framework to build the web apps.

827k views827k
Comments
Anonymous
Anonymous

Dec 15, 2020

Needs adviceonSpringSpringJavaJavaNode.jsNode.js

I am provided with the opportunity to learn one of these technologies during my training. I have prior experience with Spring and found it tough and still haven't figured out when to use what annotations among the thousands of annotations provided. On the other hand, I am very proficient in Java data structures and algorithms (custom comparators, etc.)

I have used Node.js and found it interesting, but I am wondering If I am taking the risk of choosing a framework that has a comparatively lesser scope in the future. One advantage I see with the node.js is the number of tutorials available and the ease with which I can code.

Please recommend which path to take. Is Spring learnable, or should I spend my energy on learning Node.js instead?

290k views290k
Comments
Hampton
Hampton

VP of Engineering at Veue

Oct 4, 2020

Decided

Starting a new company in 2020, with a whole new stack, is a really interesting opportunity for me to look back over the last 20 years of my career with web software and make the right decision for my company.

And, I went with the most radical decision– which is to ignore "sexy" / "hype" technologies almost entirely, and go back to a stack that I first used over 15 years ago.

For my purposes, we are building a video streaming platform, where I wanted rapid customer-facing feature development, high testability, simple scaling, and ease of hiring great, experienced talent. To be clear, our web platform is NOT responsible for handling the actual bits and bytes of the video itself, that's an entirely different stack. It simply needs to manage the business rules and the customers experience of the video content.

I reviewed a lot of different technologies, but none of them seemed to fit the bill as well as Rails did! The hype train had long left the station with Rails, and the community is a little more sparse than it was previously. And, to be honest, Ruby was the language that was easiest for developers, but I find that most languages out there have adopted many of it's innovations for ease of use – or at least corrected their own.

Even with all of that, Rails still seems like the best framework for developing web applications that are no more complex than they need to be. And that's key to me, because it's very easy to go use React and Redux and GraphQL and a whole host of AWS Lamba's to power my blog... but you simply don't actually NEED that.

There are two choices I made in our stack that were new for me personally, and very different than what I would have chosen even 5 years ago.

  1. Postgres - I decided to switch from MySql to Postgres for this project. I wanted to use UUID's instead of numeric primary keys, and knew I'd have a couple places where better JSON/object support would be key. Mysql remains far more popular, but almost every developer I respect has switched and preferred Postgres with a strong passion. It's not "sexy" but it's considered "better".

  2. Stimulus.js - This was definitely the biggest and wildest choice to make. Stimulus is a Javascript framework by my old friend Sam Stephenson (Prototype.js, rbenv, turbolinks) and DHH, and it is a sort of radical declaration that your Javascript in the browser can be both powerful and modern AND simple. It leans heavily on the belief that HTML-is-good and that data-* attributes are good. It focuses on the actions and interactions and not on the rendering aspects. It took me a while to wrap my head around, and I still have to remind myself, that server-side-HTML is how you solve many problems with this stack, and avoid trying to re-render things just in the browser. So far, I'm happy with this choice, but it is definitely a radical departure from the current trends.

471k views471k
Comments

Detailed Comparison

Spring
Spring
Play
Play
Dropwizard
Dropwizard

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.

Play Framework makes it easy to build web applications with Java & Scala. Play is based on a lightweight, stateless, web-friendly architecture. Built on Akka, Play provides predictable and minimal resource consumption (CPU, memory, threads) for highly-scalable applications.

Dropwizard is a sneaky way of making fast Java web applications. Dropwizard pulls together stable, mature libraries from the Java ecosystem into a simple, light-weight package that lets you focus on getting things done.

Statistics
GitHub Stars
59.1K
GitHub Stars
12.6K
GitHub Stars
8.6K
GitHub Forks
38.8K
GitHub Forks
4.1K
GitHub Forks
3.4K
Stacks
3.9K
Stacks
752
Stacks
309
Followers
4.8K
Followers
609
Followers
366
Votes
1.1K
Votes
496
Votes
182
Pros & Cons
Pros
  • 230
    Java
  • 157
    Open source
  • 136
    Great community
  • 123
    Very powerful
  • 114
    Enterprise
Cons
  • 15
    Draws you into its own ecosystem and bloat
  • 4
    Poor documentation
  • 3
    Verbose configuration
  • 3
    Java
  • 2
    Java is more verbose language in compare to python
Pros
  • 81
    Scala
  • 55
    Built on akka
  • 55
    Web-friendly architecture
  • 50
    Stateless
  • 47
    High-scalable
Cons
  • 3
    Evolves fast, keep up with releases
  • 1
    Unnecessarily complicated
Pros
  • 27
    Quick and easy to get a new http service going
  • 23
    Health monitoring
  • 20
    Easy setup
  • 20
    Metrics integration
  • 18
    Good conventions
Cons
  • 2
    Slightly more confusing dependencies
  • 1
    Not on ThoughtWorks radar since 2014
Integrations
Java
Java
No integrations available
Java
Java

What are some alternatives to Spring, Play, Dropwizard?

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.

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 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.

Android SDK

Android SDK

Android provides a rich application framework that allows you to build innovative apps and games for mobile devices in a Java language environment.

Phoenix Framework

Phoenix Framework

Phoenix is a framework for building HTML5 apps, API backends and distributed systems. Written in Elixir, you get beautiful syntax, productive tooling and a fast runtime.

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