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REST vs GraphQL: Which API Architecture Should You Choose?

REST is simpler, GraphQL is more flexible - but which API architecture matches your data complexity? A comparison from real-world practice.

REST is simpler, more widely understood, and ideal for public APIs. GraphQL offers more flexibility and efficiency for complex frontends. The choice depends on the complexity of your data relationships and the importance of flexible data fetching.

REST vs GraphQL: Which API Architecture Should You Choose?

REST

An architectural style for APIs based on HTTP methods and resource-oriented endpoints, the de-facto standard for web APIs.

GraphQL

A query language for APIs developed by Meta that allows clients to request exactly the data they need through a single endpoint.

What are the key differences between REST and GraphQL?

FeatureRESTGraphQL
Data fetchingFixed per endpoint - risk of over/under-fetchingClient determines exactly which fields are fetched
Learning curveLow - based on familiar HTTP conceptsModerate - new query paradigm and schema definition
CachingSimple via HTTP caching and CDNMore complex - requires client-side caching (Apollo, urql)
DocumentationRequires separate tools (Swagger/OpenAPI)Introspection - schema is self-documenting
Real-timePossible via WebSockets or SSE (separate)Built-in via Subscriptions

When to choose which?

Choose REST when...

Choose REST when building public APIs consumed by third-party developers who expect standard HTTP conventions. REST is also the better choice for simple CRUD operations, microservice communication, and projects where HTTP caching via CDN is critical for performance and simplicity reduces onboarding time.

Choose GraphQL when...

Choose GraphQL when your frontend combines data from multiple backend services into a single view, or when mobile clients need to minimize bandwidth by requesting only specific fields. GraphQL excels in applications with deeply nested data relationships and teams that benefit from a self-documenting typed schema.

What is the verdict on REST vs GraphQL?

REST is simpler, more widely understood, and ideal for public APIs. GraphQL offers more flexibility and efficiency for complex frontends. The choice depends on the complexity of your data relationships and the importance of flexible data fetching.

Which option does MG Software recommend?

MG Software chooses REST as the default for most projects due to its simplicity and ecosystem. For applications with complex data relationships or when multiple frontends share the same API, we implement GraphQL. Supabase also provides us with auto-generated REST and GraphQL endpoints.

Migrating: what to consider?

Migrating from REST to GraphQL can be done incrementally. Start with a GraphQL gateway that wraps existing REST endpoints, allowing the frontend to gradually switch. Tools like Apollo Federation enable exposing REST services as GraphQL subgraphs without immediately rewriting backend logic.

Further reading

ComparisonstRPC vs REST: Complete API Architecture ComparisonExpress vs Fastify (2026): Which Node.js Framework Is Actually Faster?Best GraphQL Tools 2026Best Hasura Alternatives 2026

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Frequently asked questions

No, GraphQL is an alternative, not a replacement. REST remains excellent for simple APIs and public interfaces. Many organizations use both side by side for different use cases.
GraphQL can be more efficient because clients only request the data they need (no over-fetching). REST can be faster thanks to simpler HTTP caching. Actual speed depends on the implementation.
Yes, Supabase offers an auto-generated GraphQL API via pg_graphql alongside its REST API. This gives you the best of both worlds without extra configuration.

Need help choosing?

We help you make the right choice for your project.

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