REST vs GraphQL

Differences, use cases, and when to use each

REST is an architectural style using HTTP verbs and resource URLs. GraphQL is a query language where the client specifies exactly what data it needs. REST is simpler and standard; GraphQL excels for complex, data-intensive applications.

Quick Comparison

FeatureRESTGraphQL
Data FetchingFixed endpoints return fixed dataClient requests exactly what it needs
Over-fetchingCommon (endpoint returns all fields)Eliminated (specify fields)
Multiple ResourcesMultiple requests neededSingle request for all data
Learning CurveLowModerate to high
CachingSimple (HTTP caching)Complex (no URL per query)

When to Use Each

When to Use REST

Use REST for standard CRUD APIs, simple data models, public APIs, and any project where simplicity, caching, and broad tool support are priorities.

When to Use GraphQL

Use GraphQL when clients need flexible data fetching, you have many resource types with complex relationships, and mobile clients need to minimize bandwidth usage.

Pros & Cons

REST

Simple and widely understood
Easy HTTP caching
Every tool supports it
Over-fetching wastes bandwidth
Multiple round trips for related data

GraphQL

No over-fetching
Single request for related data
Strongly typed schema
Complex caching
Larger learning curve
Overkill for simple APIs

Verdict

REST for simple APIs and public endpoints. GraphQL for data-intensive applications with complex relationships and diverse clients (web, mobile, third-party). Many companies use both.

Try the Tools

Frequently Asked Questions