GraphQL vs REST
API design paradigms compared: when to use GraphQL flexible queries vs REST resource-based endpoints.
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GraphQL
Query language and runtime for APIs that gives clients the power to ask for exactly what they need.
REST
Architectural style using HTTP methods and resource-based URLs for building web APIs.
Feature Comparison
GraphQL
Best for: Applications with complex, nested data requirements and multiple client types (web, mobile)
Pricing: Free, open specification
Pros
- + No over-fetching or under-fetching
- + Single endpoint for all data
- + Strong type system and schema
- + Real-time with subscriptions
- + Excellent developer tooling (GraphiQL)
Cons
- - Caching is more complex
- - N+1 query problem if not careful
- - Steeper learning curve
- - File uploads are awkward
- - Security (query depth/complexity attacks)
REST
Best for: Simple CRUD APIs, public APIs, microservices communication, and teams new to API design
Pricing: Free, architectural pattern
Pros
- + Simple and well-understood
- + HTTP caching works natively
- + Easy to implement and test
- + Great tooling (Postman, Swagger)
- + Stateless by design
Cons
- - Over-fetching and under-fetching
- - Multiple endpoints for related data
- - API versioning challenges
- - No built-in type system
- - Documentation requires extra effort
Community Vote
0 developers voted
Our Verdict
REST remains the best choice for most APIs, especially simple CRUD services, public APIs, and microservices. GraphQL shines when you have complex, nested data requirements or need to serve multiple client types efficiently. Consider starting with REST and migrating specific endpoints to GraphQL when the complexity justifies it.