REST for most APIs. GraphQL when clients need flexible queries.
GraphQL solves specific problems: over-fetching data, under-fetching requiring multiple requests, and schema introspection. For the majority of web applications, REST is simpler to build, cache, and maintain. Understanding when GraphQL's complexity is justified.
API design decision between REST and GraphQL — often driven by trend-following rather than specific technical requirements
GraphQL was developed at Facebook to solve a specific problem: Facebook has thousands of clients (iOS, Android, web) that each need different shapes of data from the same API. GraphQL lets clients specify exactly what data they need, reducing over-fetching and eliminating multiple round-trips.
The REST vs. GraphQL decision:
REST advantages:
- Simpler to implement and understand
- HTTP caching works natively (GET requests are cacheable)
- Tooling is more mature and widely understood
- Better fit for simple CRUD operations
- Easier to add rate limiting and auth at the endpoint level
GraphQL advantages:
- Clients specify exact data requirements (no over-fetching)
- Single endpoint, flexible queries (reduces N+1 round trips)
- Schema introspection and type-safe clients
- Better for complex nested data requirements
- Well-suited for public APIs with diverse client needs
When GraphQL is justified:
- Multiple client types (web + mobile) with different data needs
- Complex nested data with many optional fields
- Public API that third parties will consume with diverse requirements
- Teams building with TypeScript where end-to-end type safety from GraphQL schema matters
When REST is better:
- Simple CRUD application with predictable data access patterns
- Small team without GraphQL expertise
- Performance-critical endpoints where HTTP caching matters
- Internal APIs not consumed by external clients
tRPC as an alternative: For TypeScript full-stack applications, tRPC provides end-to-end type safety with a simpler mental model than GraphQL. The API definition is TypeScript procedures; the client is fully typed.
API design selection that matches the application's actual data access patterns, with REST as the default and GraphQL chosen when clients genuinely need flexible queries
tRPC for full-stack TypeScript applications. REST for external-facing APIs. GraphQL when the client data requirements genuinely justify it.
One honest number to start.
Fixed-scope, fixed-price. The number below is the starting point — final scope is built from your brief.
API design selection that matches the application's actual data access patterns, with REST as the default and GraphQL chosen when clients genuinely need flexible queries
Three steps, every time.
The same repeatable engagement on every project. No surprises, no mystery, no billable ambiguity.
Brief & discovery.
We send you questions, then get on a call. Output: a written scope with every step, feature, and integration listed.
Build & ship.
Fixed schedule, weekly reviews. No scope creep unless you change the scope — and if you do, we reprice it transparently.
Warranty & retainer.
30-day warranty on every launch. Most clients stay on a monthly retainer for ongoing features and maintenance.
Why Fixed-Price Matters Here
API architecture is decided in the proposal.
Related engagements.
Questions, answered.
Not inherently. GraphQL reduces over-fetching and multiple round-trips, which can improve client performance. But REST with well-designed endpoints and HTTP caching can be faster. The performance story depends on implementation.
tRPC is simpler for TypeScript full-stack applications. Same type safety, less schema boilerplate, no code generation step. GraphQL is better when external clients from other stacks need to query the API.
Tell Ryel about your project.
Describe what you’re building and what outcome you need. You’ll have a written, fixed-price scope within the week.