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RESTGraphQLAPIArchitecture

REST vs GraphQL: When to Use Which

Compare REST and GraphQL objectively. From use cases to performance to developer experience trade-offs.

B
Bootspring Team
Engineering
June 5, 2022
6 min read

REST and GraphQL solve API design differently. Here's how to choose the right approach for your project.

Core Differences

REST: - Multiple endpoints (/users, /posts, /comments) - Fixed data shapes per endpoint - HTTP methods define operations (GET, POST, PUT, DELETE) - Stateless request/response GraphQL: - Single endpoint (/graphql) - Client specifies exact data needed - Query language defines operations - Strongly typed schema

REST Example

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GraphQL Example

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When to Use REST

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When to Use GraphQL

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Performance Comparison

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Caching Strategies

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Error Handling

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Hybrid Approach

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Comparison Summary

| Aspect | REST | GraphQL | |-----------------|----------------------|----------------------| | Endpoints | Multiple | Single | | Data fetching | Server decides | Client decides | | Versioning | URL or header | Schema evolution | | Caching | HTTP native | Custom solutions | | File upload | Native support | Requires setup | | Learning curve | Lower | Higher | | Tooling | Mature | Growing rapidly | | Over-fetching | Common | Solved | | Under-fetching | Common | Solved | | Type safety | Optional (OpenAPI) | Built-in |

Best Practices

Choose REST when: ✓ Simple CRUD operations ✓ Public APIs ✓ Heavy caching needs ✓ File operations ✓ Team new to APIs Choose GraphQL when: ✓ Complex data relationships ✓ Multiple clients (mobile, web) ✓ Rapid frontend iteration ✓ Real-time requirements ✓ Internal APIs

Conclusion

Neither REST nor GraphQL is universally better. REST offers simplicity and mature tooling; GraphQL provides flexibility and efficiency for complex data needs. Consider your team's experience, client requirements, and caching needs. Often, a hybrid approach works best.

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