Table of Contents
Why should you use GraphQL?
GraphQL allows making multiple resources request in a single query call, which saves a lot of time and bandwidth by reducing the number of network round trips to the server. It also helps to save waterfall network requests, where you need to resolve dependent resources on previous requests.
Do you really need GraphQL?
Is GraphQL bad? Certainly not; GraphQL is great if you want to work in a declarative style because it enables you to select only the information or operations you need. However, depending on your use case, performance requirements, and tolerance for unnecessary complexity, GraphQL could be a bad fit for your project.
Which is better REST API or GraphQL?
GraphQL solves both over-fetching and under-fetching issues by allowing the client to request only the needed data; Since the client now has more freedom in the fetched data, development is much faster with GraphQL than what it would be with REST.
Why you should or should not use GraphQL?
GraphQL APIs have a strongly typed schema.
What is GraphQL and why does it matter?
GraphQL is one of the most modern ways of building and querying APIs. GraphQL is a syntax that describes how to ask for data , and is generally used to load data from a server to a client. GraphQL has three main characteristics: It lets the client specify exactly what data it needs. It makes it easier to aggregate data from multiple sources.
Why are development teams adopting GraphQL?
The most popular reasons teams of this size chose to use GraphQL was to help them develop software faster, have better scalability, and better modularity. These teams also reported that GraphQL was successful at helping them accomplish these goals.
How is GraphQL an alternative to rest?
GraphQL is the better REST Data Fetching with REST vs GraphQL. With a REST API, you would typically gather the data by accessing multiple endpoints. No more Over- and Underfetching. One of the most common problems with REST is that of over- and underfetching. Rapid Product Iterations on the Frontend. Insightful Analytics on the Backend. Benefits of a Schema & Type System.