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  1. Stackups
  2. Application & Data
  3. Frameworks
  4. Frameworks
  5. GraphQL vs Laravel

GraphQL vs Laravel

OverviewDecisionsComparisonAlternatives

Overview

Laravel
Laravel
Stacks28.7K
Followers23.7K
Votes3.9K
GitHub Stars82.6K
Forks24.6K
GraphQL
GraphQL
Stacks34.9K
Followers28.1K
Votes309

GraphQL vs Laravel: What are the differences?

Introduction

In this article, we will explore the key differences between GraphQL and Laravel.

  1. Type System and Data Fetching: The most significant difference between GraphQL and Laravel is their approach to handling data fetching. GraphQL has a declarative approach, where the client can specify exactly what data it needs and the server will respond with that data in a single request. On the other hand, Laravel follows a more traditional approach by providing an expressive API for querying and fetching data from a structured database.

  2. Flexibility and Efficiency: GraphQL offers a higher level of flexibility and efficiency compared to Laravel. With GraphQL, the client has the power to specify the shape and structure of the response it needs, reducing the amount of data transferred over the network. Laravel, on the other hand, has a fixed response structure defined by the server, which may result in over-fetching or under-fetching of data.

  3. Real-time Data: GraphQL supports real-time data updates through its subscription feature. Clients can subscribe to specific data changes and receive updates whenever the relevant data changes on the server. Laravel, however, does not have built-in support for real-time data updates and requires additional tools or libraries to achieve the same functionality.

  4. API Versioning: In Laravel, API versioning is typically achieved by introducing new controller or route versions. This approach allows for more control over the API changes, but it can result in code duplication and increased complexity. GraphQL, on the other hand, provides built-in versioning support through its schema definition. It allows for easy evolution and deprecation of API fields and types without introducing breaking changes.

  5. Validation and Error Handling: Laravel provides robust validation and error handling mechanisms out of the box. It has a fluent validation system that allows developers to define validation rules and easily handle validation errors. GraphQL, on the other hand, relies on custom validation and error handling code that needs to be implemented manually. While this provides more flexibility, it also requires more development effort.

  6. Tooling and Ecosystem: Laravel has a mature and extensive ecosystem with a wide range of packages and tools available. It provides features like ORM, database migrations, queuing systems, and more, which can be easily integrated into Laravel projects. GraphQL, although growing rapidly in popularity, has a relatively smaller ecosystem and fewer tools available compared to Laravel. However, it does offer some specific tools and libraries for building GraphQL APIs.

In summary, GraphQL and Laravel differ in their approach to data fetching, flexibility, real-time data support, API versioning, validation and error handling, and the tooling and ecosystem available. While GraphQL offers a more flexible and efficient way of fetching data, Laravel provides a mature ecosystem with a wide range of features and tools.

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Advice on Laravel, GraphQL

John
John

Jun 28, 2019

ReviewonLaravelLaravel

I use Laravel because it has integrated unit testing that making TDD a breeze. Having a View (Blade engine) making me easier to work without too many efforts in front-end.

I do recommend going into the root of programming once getting stable on any framework. Go beyond Symfony, go beyond PHP, go into the roots to the mother of programming; c++, c, smalltalk, erlang OTP. Understand the fundamental principle of abstraction.

A framework is just a framework, it helps in getting feedback quickly; like practicing dancing in front of a mirror. Getting fundamentals right is the one true key in doing it right. Programming is not hard, but abstract-programming is extremely hard.

3.82k views3.82k
Comments
Eva
Eva

Fullstack developer

Jul 28, 2020

Needs adviceonJavaJavaSpring BootSpring BootJavaScriptJavaScript

Hello, I am a fullstack web developer. I have been working for a company with Java/ Spring Boot and client-side JavaScript(mainly jQuery, some AngularJS) for the past 4 years. As I wish to now work as a freelancer, I am faced with a dilemma: which stack to choose given my current knowledge and the state of the market?

I've heard PHP is very popular in the freelance world. I don't know PHP. However, I'm sure it wouldn't be difficult to learn since it has many similarities with Java (OOP). It seems to me that Laravel has similarities with Spring Boot (it's MVC and OOP). Also, people say Laravel works well with Vue.js, which is my favorite JS framework.

On the other hand, I already know the Javascript language, and I like Vue.js, so I figure I could go the fullstack Javascript route with ExpressJS. However, I am not sure if these techs are ripe for freelancing (with regards to RAD, stability, reliability, security, costs, etc.) Is it true that Express is almost always used with MongoDB? Because my experience is mostly with SQL databases.

The projects I would like to work on are custom web applications/websites for small businesses. I have developed custom ERPs before and found that Java was a good fit, except for it taking a long time to develop. I cannot make a choice, and I am constantly switching between trying PHP and Node.js/Express. Any real-world advice would be welcome! I would love to find a stack that I enjoy while doing meaningful freelance coding.

826k views826k
Comments
washie
washie

Developer at Bytecom

Jun 14, 2020

Decided

i find python quite resourceful. given the bulk of libraries that python has and the trends of the tech i find django which runs on python to be the framework of choice to the upcoming web services and application. Laravel on the other hand which is powered by PHP is also quite resourceful and great for startups and common web applications.

758k views758k
Comments

Detailed Comparison

Laravel
Laravel
GraphQL
GraphQL

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.

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

Template Engine; MVC Architecture Support; Eloquent ORM (Object Relational Mapping); Security; Artisan; Libraries & Modular; Database Migration System; Unit-Testing
Hierarchical;Product-centric;Client-specified queries;Backwards Compatible;Structured, Arbitrary Code;Application-Layer Protocol;Strongly-typed;Introspective
Statistics
GitHub Stars
82.6K
GitHub Stars
-
GitHub Forks
24.6K
GitHub Forks
-
Stacks
28.7K
Stacks
34.9K
Followers
23.7K
Followers
28.1K
Votes
3.9K
Votes
309
Pros & Cons
Pros
  • 556
    Clean architecture
  • 393
    Growing community
  • 371
    Composer friendly
  • 345
    Open source
  • 326
    The only framework to consider for php
Cons
  • 54
    PHP
  • 33
    Too many dependency
  • 23
    Slower than the other two
  • 17
    A lot of static method calls for convenience
  • 15
    Too many include
Pros
  • 75
    Schemas defined by the requests made by the user
  • 63
    Will replace RESTful interfaces
  • 62
    The future of API's
  • 49
    The future of databases
  • 12
    Self-documenting
Cons
  • 4
    More code to type.
  • 4
    Hard to migrate from GraphQL to another technology
  • 2
    Takes longer to build compared to schemaless.
  • 1
    Works just like any other API at runtime
  • 1
    No support for caching
Integrations
PHP
PHP
Django
Django
CodeIgniter
CodeIgniter
CakePHP
CakePHP
No integrations available

What are some alternatives to Laravel, GraphQL?

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.

.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.

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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