Use Cases for GraphQL

### Cons GraphQL can be harder to set up; its other disadvantages are below. - **Complexity in Caching**: Traditional caching mechanisms, like HTTP caching, are not as effective with GraphQL because of its dynamic queries. It often requires custom strategies like persisted queries and Apollo Client caching. - **Increased Server Load**: Due to the complexity of GraphQL queries, server performance can sometimes suffer. It’s essential to implement rate limiting and query depth control to avoid overload. - **Learning Curve**: Developers need to familiarize themselves with schema definitions, resolvers, and query structures, making it more challenging to learn than REST APIs. Debugging can also be more complex. - **Security Risks**: There’s the potential for clients to send expensive or deeply nested queries, risking denial-of-service (DoS) attacks. Proper query validation and authorization are crucial.