REST and GraphQL are the two dominant approaches to API design today - and the debate between them is one of the most reliably heated in software engineering. The reality is that neither is universally superior. The right choice depends on your use case, your team, and the consumers of your API.
Here's a clear-headed comparison to help you decide.
REST: The Proven Standard
REST (Representational State Transfer) has been the dominant API paradigm for over two decades. It's resource-based, stateless, and maps cleanly to HTTP verbs: GET to retrieve, POST to create, PUT/PATCH to update, DELETE to remove.
What REST does well:
- Simplicity - easy to understand, easy to document, easy to test
- Caching - HTTP caching works naturally with REST's resource model
- Broad tooling support - virtually every language, framework, and platform speaks REST
- Performance at scale - well-designed REST APIs are highly cacheable and easy to optimize
Where REST struggles:
- Over-fetching - endpoints often return more data than the client needs
- Under-fetching - complex UIs often need data from multiple endpoints, requiring multiple round trips
- Versioning - managing breaking changes across API versions gets messy over time
GraphQL: Flexibility for Complex Data Needs
GraphQL, developed by Facebook and open-sourced in 2015, takes a fundamentally different approach. Instead of fixed endpoints, clients send queries describing exactly the data they need - and get back exactly that, nothing more.
What GraphQL does well:
- Precise data fetching - clients get exactly what they ask for, reducing over- and under-fetching
- Single endpoint - all queries go through one endpoint, simplifying client logic
- Strongly typed schema - the schema serves as a self-documenting contract between client and server
- Ideal for complex, interconnected data - particularly well-suited for graph-like data models
Where GraphQL struggles:
- Complexity - harder to implement, test, and secure than REST
- Caching - HTTP caching doesn't apply naturally; requires client-side or CDN-level solutions
- N+1 query problem - naive implementations can trigger cascading database queries
- Overkill for simple use cases - adds overhead that simple CRUD APIs don't need
How to Choose
The decision usually comes down to who's consuming your API and how complex the data relationships are.
Lean toward REST when:
- You're building a public API consumed by external developers
- Your data model is relatively simple and resource-based
- You need strong caching behaviour
- Your team is more familiar with REST patterns
Lean toward GraphQL when:
- You're building a client-driven API for a complex frontend (especially mobile)
- Different clients need different subsets of the same data
- Your data has complex relationships that benefit from a graph model
- You want a single, self-documenting API layer across multiple data sources
The Pragmatic Answer
Many mature engineering organizations use both. REST for external, public-facing APIs where simplicity and cacheability matter. GraphQL for internal or client-facing APIs where flexibility and data efficiency are priorities. The two aren't mutually exclusive, and a thoughtful API strategy often includes both.
Luxano Labs designs and implements API architectures that actually scale - REST, GraphQL, or both. Talk to us at luxanolabs.com.