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REST vs GraphQL
REST vs GraphQL

This article explains differences between REST and GraphQL

Updated over a week ago

When it comes to building APIs (Application Programming Interfaces), two popular options are REST and GraphQL. While both approaches allow for efficient data communication between servers and clients, there are some fundamental differences between them.

One of the primary differences is in the data structure. REST uses a resource-based approach, where each resource is identified by a unique URL and is accessed using HTTP methods. The response data is typically fixed, and additional requests may be required to retrieve related data. In contrast, GraphQL uses a hierarchical and strongly typed schema, allowing for more flexible and precise queries, and the ability to retrieve related data in a single request.

Another key difference is in the client-server relationship. REST APIs follow a stateless model, meaning each request must contain all necessary information for the server to process it. This can result in larger payloads and more frequent requests. GraphQL, on the other hand, is based on a client-driven model, where clients can request only the data they need in a single query, resulting in more efficient data transfer and reduced network traffic.

While both REST and GraphQL have their pros and cons, the choice between them depends on the specific use case. REST is a good fit for simple, resource-based applications, where caching and scalability are important. GraphQL, on the other hand, is better suited for complex applications, where data relationships and flexibility are paramount. Ultimately, the choice between REST and GraphQL depends on the priorities of the application, and developers should carefully consider the tradeoffs of each approach before making a decision.

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