GraphQL vs REST
Learn about the difference between GraphQL and REST and when to use which Type of API.
GraphQL vs REST
Selecting the right API architecture is a decision that can significantly impact the functionality and scalability of your application. This table compares GraphQL and REST across key features such as data retrieval, endpoint management, and real-time communication:
Data Fetching: In GraphQL, clients can request exactly what they need, avoiding over or under-fetching. On the other hand, REST often returns a fixed data structure, which may not align perfectly with the client's needs.
Real-time Data: GraphQL has built-in real-time updates with subscriptions. Real-time updates in REST typically require additional technologies like WebSockets.
API Evolution: APIs in GraphQL can evolve without versioning; new fields can be added without impacting existing queries. In contrast, changes in REST often require versioning of the API, which can lead to multiple versions that need maintenance.
Typed Schema: GraphQL enforces a schema that defines the structure and type of data, leading to self-documenting APIs. REST does not enforce a schema, potentially leading to inconsistencies and a greater chance of errors.
Below is the difference in tabular format
Example of GraphQL vs REST
In this example, you can see that GraphQL allows you to fetch specific fields (name, email, friends) for a particular user. It even allows you to fetch nested data, like the names of the user's friends.
This REST API call fetches the data for a user with the ID of 1. However, unlike the GraphQL example, it fetches all the data associated with that user, not just the name, email, and friends. To get the user's friends' names, another API call such as
GET /users/1/friends might be needed, leading to multiple requests and over-fetching of data.
Use GraphQL when:
You require efficient data loading, particularly in mobile applications or on networks with limited bandwidth.
The client application needs the flexibility to request varying sets of data.
You want to minimize the number of requests and the amount of data transferred.
Real-time data (like updates in a social network feed) is a core requirement.
Use REST when:
The simplicity and statelessness of REST align with your project’s needs.
Your team has existing expertise in RESTful services.
You need to leverage robust HTTP caching mechanisms to improve performance.
The API serves relatively standard or predictable data requirements.
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