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  1. Stackups
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  5. MEAN vs Meteor

MEAN vs Meteor

OverviewDecisionsComparisonAlternatives

Overview

Meteor
Meteor
Stacks1.9K
Followers1.8K
Votes1.7K
GitHub Stars44.8K
Forks5.3K
MEAN
MEAN
Stacks337
Followers617
Votes594
GitHub Stars12.1K
Forks3.4K

MEAN vs Meteor: What are the differences?

Introduction

MEAN and Meteor are two popular frameworks used for web development. While both frameworks have similarities, they also have key differences that set them apart from each other. In this article, we will discuss the key differences between MEAN and Meteor.

  1. Architecture: The MEAN stack is a collection of technologies, including MongoDB, Express.js, AngularJS, and Node.js. Each of these technologies is responsible for different aspects of web development, such as the database, server-side logic, and frontend. On the other hand, Meteor is a full-stack JavaScript framework that combines backend and frontend development, providing a unified platform for both. Unlike MEAN, Meteor uses a reactive data system that automatically updates the UI when the database changes.

  2. Real-time capabilities: Meteor is known for its real-time capabilities, allowing instant updates and synchronization of data between the client and server. It uses a publish/subscribe model, where the server publishes changes to the data, and the client subscribes to receive those updates automatically. MEAN also supports real-time functionality but requires additional libraries or frameworks to implement it.

  3. Development speed: Meteor focuses on rapid development and provides a large number of built-in features and packages, making it easier to build web applications quickly. It has a built-in build system, hot code reload, and automatic data synchronization. MEAN, on the other hand, requires more configuration and setup, as each technology in the stack needs to be integrated separately.

  4. Scalability: MEAN is designed to be highly scalable, as it can handle large amounts of traffic and data by leveraging the distributed architecture of Node.js and MongoDB. It allows horizontal scaling by adding more servers to the cluster. Meteor, although scalable, is better suited for small to medium-sized applications, as it may face performance issues with large-scale applications.

  5. Community and ecosystem: Both MEAN and Meteor have active communities and vibrant ecosystems. However, MEAN has been around for a longer time and has a larger community and a wider range of available libraries and resources. Meteor, being a more specialized framework, has a smaller community but still offers a decent number of packages and resources.

  6. Learning Curve: MEAN relies on a combination of technologies, each with its own learning curve. Developers need to be familiar with MongoDB, Express.js, AngularJS, and Node.js to effectively work with MEAN. Meteor, on the other hand, has a relatively smaller learning curve as it provides a unified platform with a consistent API.

In summary, MEAN and Meteor differ in their architecture, real-time capabilities, development speed, scalability, community/ecosystem, and learning curve. MEAN provides a collection of independent technologies, while Meteor combines frontend and backend development. Meteor excels in real-time functionality and rapid development, but MEAN offers greater scalability and a larger community.

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Advice on Meteor, MEAN

Carl-Erik
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 ...

374k views374k
Comments

Detailed Comparison

Meteor
Meteor
MEAN
MEAN

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.

MEAN (Mongo, Express, Angular, Node) is a boilerplate that provides a nice starting point for MongoDB, Node.js, Express, and AngularJS based applications. It is designed to give you a quick and organized way to start developing MEAN based web apps with useful modules like Mongoose and Passport pre-bundled and configured.

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
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Statistics
GitHub Stars
44.8K
GitHub Stars
12.1K
GitHub Forks
5.3K
GitHub Forks
3.4K
Stacks
1.9K
Stacks
337
Followers
1.8K
Followers
617
Votes
1.7K
Votes
594
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
Pros
  • 86
    Javascript
  • 62
    Easy
  • 58
    Nosql
  • 52
    Great community
  • 50
    Modularity
Integrations
AngularJS
AngularJS
React
React
MongoDB
MongoDB
Node.js
Node.js
Apache Cordova
Apache Cordova
MongoDB
MongoDB
Node.js
Node.js
ExpressJS
ExpressJS
AngularJS
AngularJS

What are some alternatives to Meteor, MEAN?

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

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.

Bower

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.

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