GraphQL vs Slim Lang: What are the differences?
GraphQL: A data query language and runtime. 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; Slim Lang: Template language whose goal is reduce the syntax to the essential parts without becoming cryptic. Slim is a template language whose goal is to reduce the view syntax to the essential parts without becoming cryptic. It started as an exercise to see how much could be removed from a standard html template (<, >, closing tags, etc...). As more people took an interest in Slim, the functionality grew and so did the flexibility of the syntax.
GraphQL can be classified as a tool in the "Query Languages" category, while Slim Lang is grouped under "Templating Languages & Extensions".
"Schemas defined by the requests made by the user" is the primary reason why developers consider GraphQL over the competitors, whereas "Easier to type and maintain than haml" was stated as the key factor in picking Slim Lang.
GraphQL and Slim Lang are both open source tools. It seems that GraphQL with 11.7K GitHub stars and 753 forks on GitHub has more adoption than Slim Lang with 4.84K GitHub stars and 473 GitHub forks.
What is GraphQL?
What is Slim Lang?
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We are starting to build one shirt data logic, structure and as an online clothing store we believe good ux and ui is a goal to drive a lot of click through. The problem is, how do we fetch data and how do we abstract the gap between the Front-end devs and backend-devs as we are just two in the technical unit. We decided to go for GraphQL as our application-layer tool and Prisma for our database-layer abstracter.
GraphQL makes fetching of data less painful and organised.
GraphQL gives you 100% assurance on data you getting back as opposed to the Rest design .
GraphQL comes with a bunch of real-time functionality in form of. subscriptions and finally because we are using React (GraphQL is not React demanding, it's doesn't require a specific framework, language or tool, but it definitely makes react apps fly )
Writing revolvers can be fun, but imagine writing revolvers nested deep down, curry braces flying around. This is sure a welcome note to bugs and as a small team we need to focus more on what that matters more. Prisma generates this necessary CRUD resolves, mutations and subscription out of the box.
We don't really have much budget at the moment so we are going to run our logic in a scalable cheap and cost effective cloud environment. Oh! It's AWS Lambda and deploying our schema to Lambda is our best bet to minimize cost and same time scale.
We are still at development stage and I believe, working on this start up will increase my dev knowledge. Off for Lunch :)
I just finished a web app meant for a business that offers training programs for certain professional courses. I chose this stack to test out my skills in graphql and react. I used Node.js , GraphQL , MySQL for the #Backend utilizing Prisma as a database interface for MySQL to provide CRUD APIs and graphql-yoga as a server. For the #frontend I chose React, styled-components for styling, Next.js for routing and SSR and Apollo for data management. I really liked the outcome and I will definitely use this stack in future projects.
We are always building new features and replacing old code at StackShare. Lately we have been building out new features for the frontend, and removing a lot of old jQuery code (sorry jQuery but it's time to go).
As we've moved towards the above tech, its really made smashing out new features and updating legacy code super fast, and really fun!
We recently switched from MongoDB and the Python library MongoEngine to PostgreSQL and Django in order to:
- Better leverage GraphQL (using the Graphene library)
- Allow us to use the autogenerated Django admin interface
- Allow better performance due to the way some of our pages present data
- Give us more a mature stack in the form of Django replacing MongoEngine, which we had some issues with in the past.
MongoDB was hosted on mlab, and we now host Postgres on Amazon RDS .
Using GraphQL for queries and mutation on React app and Prisma database is so cool, easy and fast to learn. i often use Apollo client to integrate both ends. Most times working has a frontend developer and trying to build a MVP product quickly requires tools that require less setup on both production and development in order to test functionalities, and using GraphQL for queries surpasses Rest queries for me because of the flexibility in requesting the data you actually need and not requesting the whole dataset everytime.
But in all, Rest is still the king since most public api support its CRUD processes more than GraphQL but lot of top companies are using it and am definitely using it for various project including my recent pet project(Delivery buddy - A platform that allows pair-to-pair delivery service).
Have been working on a side project that focuses on sharing economy, allowing users to pickup and deliver groceries for others. Have already started working on the frontend for the web dashboard using React and plan to use React Native for the mobile app. But am in a dilemma, whether to build the backend myself for the MVP or use firebase for the backend. I need advise, has anyone use Firebase for such project and what are the pros and cons, what issues will i faced.
Note: My proposed stack for the backend is a Prisma database, GraphQL , Apollo and ExpressJS
Thanks in advance to everyone.
In my last side project, I built a web posting application that has similar features as Facebook and hosted on Heroku. The user can register an account, create posts, upload images and share with others. I took an advantage of graphql-subscriptions to handle realtime notifications in the comments section. Currently, I'm at the last stage of styling and building layouts.
For the #Backend I used graphql-yoga, Prisma, GraphQL with PostgreSQL database. For the #FrontEnd: React, styled-components with Apollo. The app is hosted on Heroku.
We recently implemented GraphQL because we needed to build dynamic reports based on the user preference and configuration, this was extremely complicated with our actual RESTful API, the code started to get harder to maintain but switching to GraphQL helped us to to build beautiful reports for our clients that truly help them make data-driven decisions.
Our goal is to implemented GraphQL in the whole platform eventually, we are using Graphene , a python library for Django .
I've been using Django for quite a long time and in my opinion I would never switch from it. My company is currently using Django with REST framework and a part in GraphQL using Graphene. On the frontend we use Next.js and so far everything has been running quite good. I've found limitations but manage to solve it.
As someone mentioned before, if you are comfortable with Django, don't switch. There's no need since with django you can basically achieve anything. Of course this will depend on the project you want to build, but the scalability and flexibility django can offer it's just out of this world. (Don't want to sound like a fan boy haha but it really is).
GraphQL will be used as the public API for the data persistence layer. It communicates nicely with all other languages and can provide API responses in the format specified in the request.
Applied GraphQL in a side-project I'm currently working on. Using the Apollo GraphQL implementation for both server-side and React client.
From Magento 2.3 GraphQL is provider by a core implementation, this is used to implement PWA frontend.