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Click here to see the full demo with network requests Alleviating bandwidth concernsīandwidth is a problem for small devices such as mobile phones, smartwatches, and IoT devices that are not able to handle large amounts of data. Other API technologies such as REST would require multiple HTTP calls to access data from multiple sources. GraphQL simplifies the task of aggregating data from multiple sources or APIs and then resolving the data to the client in a single API call.
If you want the client to control the type and amount of data it needs, GraphQL would be ideal for your project. While the server might be able to deliver more data to the client for a single request, it would only send the data requested by the client. GraphQL was designed to allow the client to ask for only the data it needs. When used as designed, it can be an ideal tool for the use cases described below. GraphQL is an excellent solution to a unique problem around building and consuming APIs. The objective of this guide is to explain some reasons why GraphQL might be a bad fit for your project, but it wouldn’t be fair to proceed without highlighting the benefits of using GraphQL. In GraphL, you define the object on the client. It’s also worth noting that, in REST, the structure of the request object is defined on the server. Whereas, in a REST architecture, the client makes an HTTP request and data is sent as HTTP response, in GraphQL, the client request data with queries. The major difference between GraphQL and REST is the manner in which data is sent to the client. What’s the difference between GraphQL and REST?