Meteor vs Ratpack Comparison | StackShare

Overview

Meteor

Stacks1.9K

Followers1.8K

Votes1.7K

GitHub Stars44.8K

Forks5.3K

Ratpack

Stacks14

Followers22

Votes0

GitHub Stars1.9K

Forks402

Meteor vs Ratpack: What are the differences?

Meteor: An ultra-simple, database-everywhere, data-on-the-wire, pure-Javascript web framework. A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets; Ratpack: A toolkit for web applications on the JVM. It is a set of Java libraries for building scalable HTTP applications It is a lean and powerful foundation. Its apps are lightweight, fast, composable with other tools and libraries, easy to test and enjoyable to develop..

Meteor and Ratpack can be categorized as "Frameworks (Full Stack)" tools.

Some of the features offered by Meteor are:

Pure JavaScript
Live page updates
Clean, powerful data synchronization

On the other hand, Ratpack provides the following key features:

Lean & powerful HTTP apps
toolkit for creating high performance web applications

Meteor and Ratpack are both open source tools. Meteor with 41.2K GitHub stars and 5.04K forks on GitHub appears to be more popular than Ratpack with 1.81K GitHub stars and 366 GitHub forks.

Rocket.Chat, FashionUnited, and Hazeorid are some of the popular companies that use Meteor, whereas Ratpack is used by Tradier, azampar, and Deutsche Bahn. Meteor has a broader approval, being mentioned in 255 company stacks & 1057 developers stacks; compared to Ratpack, which is listed in 3 company stacks and 3 developer stacks.

Advice on Meteor, Ratpack

Carl-Erik

Jan 23, 2020

Decided

This basically came down to two things: performance on compute-heavy tasks and a need for good tooling. We used to have a Meteor based Node.js application which worked great for RAD and getting a working prototype in a short time, but we felt pains trying to scale it, especially when doing anything involving crunching data, which Node sucks at. We also had bad experience with tooling support for doing large scale refactorings in Javascript compared to the best-in-class tools available for Java (IntelliJ). Given the heavy domain and very involved logic we wanted good tooling support to be able to do great refactorings that are just not possible in Javascript. Java is an old warhorse, but it performs fantastically and we have not regretted going down this route, avoiding "enterprise" smells and going as lightweight as we can, using Jdbi instead of Persistence API, a homegrown Actor Model library for massive concurrency, etc ...

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Comments

Detailed Comparison

Meteor	Ratpack
A Meteor application is a mix of JavaScript that runs inside a client web browser, JavaScript that runs on the Meteor server inside a Node.js container, and all the supporting HTML fragments, CSS rules, and static assets.	It is a set of Java libraries for building scalable HTTP applications. It is a lean and powerful foundation. Its apps are lightweight, fast, composable with other tools and libraries, easy to test and enjoyable to develop.
Pure JavaScript;Live page updates;Clean, powerful data synchronization;Latency compensation;Hot Code Pushes;Sensitive code runs in a privileged environment;Fully self-contained application bundles; Interoperability;Smart Packages	Lean & powerful HTTP apps; toolkit for creating high performance web applications;
Statistics
GitHub Stars 44.8K	GitHub Stars 1.9K
GitHub Forks 5.3K	GitHub Forks 402
Stacks 1.9K	Stacks 14
Followers 1.8K	Followers 22
Votes 1.7K	Votes 0
Pros & Cons
Pros 251 Real-time 200 Full stack, one language 183 Best app dev platform available today 155 Data synchronization 152 Javascript Cons 5 Does not scale well 4 Hard to debug issues on the server-side 4 Heavily CPU bound	No community feedback yet
Integrations
AngularJS React MongoDB Node.js Apache Cordova	Spring Boot Hystrix Guice

What are some alternatives to Meteor, Ratpack?

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

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 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

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

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

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 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.

Bower

Bower is a package manager for the web. It offers a generic, unopinionated solution to the problem of front-end package management, while exposing the package dependency model via an API that can be consumed by a more opinionated build stack. There are no system wide dependencies, no dependencies are shared between different apps, and the dependency tree is flat.