REST vs GraphQL
Compare REST and GraphQL API architectures - data fetching, flexibility, caching, tooling, and when to choose each approach.
Overview
REST (Representational State Transfer) is an architectural style using standard HTTP methods and resource-based URLs. GraphQL is a query language and runtime that lets clients request exactly the data they need from a single endpoint. Both are widely used for building APIs, but they take fundamentally different approaches to data fetching.
Feature Comparison
| Feature | REST | GraphQL |
|---|---|---|
| Paradigm | Resource-based | Query-based |
| Endpoints | Multiple (per resource) | Single endpoint |
| Data Fetching | Fixed structure per endpoint | Client specifies exact fields |
| Over-fetching | Common | Eliminated |
| Under-fetching | Common (requires multiple calls) | Eliminated |
| HTTP Methods | GET, POST, PUT, PATCH, DELETE | POST (mostly) |
| Caching | HTTP caching (built-in) | Custom caching required |
| Versioning | URL or header versioning | Schema evolution (no versioning) |
| File Upload | Native support | Requires workarounds |
| Real-time | Webhooks, SSE, WebSockets | Subscriptions (built-in) |
| Error Handling | HTTP status codes | 200 with errors array |
| Documentation | OpenAPI/Swagger | Self-documenting (introspection) |
| Tooling | Mature, widespread | Growing ecosystem |
| Learning Curve | Low | Moderate |
| Type System | Optional (OpenAPI) | Built-in schema |
| Batching | Not built-in | Query batching native |
| N+1 Problem | Managed per endpoint | Requires DataLoader pattern |
REST Pros & Cons
Pros:
- Simple and well-understood
- Leverages HTTP caching natively
- Stateless by design
- Wide tooling and library support
- Easy to debug with browser/curl
- Standard HTTP status codes for errors
- File uploads are straightforward
- Works well with CDNs
Cons:
- Over-fetching and under-fetching issues
- Multiple round trips for related data
- API versioning complexity
- Rigid response structures
- Documentation requires extra tooling
- Endpoint proliferation in complex APIs
GraphQL Pros & Cons
Pros:
- Clients get exactly the data they need
- Single endpoint simplifies architecture
- Strongly typed schema acts as documentation
- Introspection enables powerful tooling
- Reduces number of API calls
- Schema evolution without versioning
- Great for complex, nested data
Cons:
- HTTP caching is harder
- Complexity in server implementation
- N+1 query problem requires DataLoader
- Security concerns (query depth, complexity)
- File uploads need workarounds
- Steeper learning curve
- Overkill for simple APIs
- All responses return 200 status
When to Use REST
- Simple CRUD APIs with well-defined resources
- Public APIs consumed by diverse clients
- APIs that benefit heavily from HTTP caching
- Microservices communication
- File-heavy APIs (uploads/downloads)
- Teams with limited GraphQL experience
- APIs where simplicity and predictability matter
- Integration with legacy systems
When to Use GraphQL
- Applications with complex, interconnected data
- Mobile apps needing bandwidth optimization
- Frontends requiring flexible data queries
- Rapid frontend iteration without backend changes
- APIs serving multiple client types (web, mobile, IoT)
- Dashboard and analytics applications
- Projects where under-fetching is a major pain point
- Backends consolidating multiple data sources (federation)
Verdict
Choose REST for simple, resource-oriented APIs where HTTP caching is important, your team values simplicity, or you are building public-facing APIs with diverse consumers.
Choose GraphQL when clients need flexible data fetching, your data is highly relational, or you want a strongly typed, self-documenting API that reduces round trips.
Many organizations use both: REST for simple services and public APIs, and GraphQL as a gateway to aggregate data from multiple backend services.