tRPC vs GraphQL: Type-Safe APIs for Full-Stack TypeScript
tRPC vs GraphQL TypeScript comparison 2026 — type safety, DX, codegen, monorepo setup, performance, and which API layer to choose for Next.js and full-stack apps.
Quick Answer
tRPC wins for TypeScript monorepos — zero schema files, instant end-to-end type inference, and no codegen step. GraphQL wins when you need a public API, multiple clients in different languages, or a schema as a formal contract. tRPC only works in TypeScript; GraphQL works everywhere.
tRPC vs GraphQL: Overview
TypeScript monorepos, Next.js full-stack apps, internal APIs with shared codebase
Free (open source)
Free
tRPC vs GraphQL: Feature Comparison
| Feature | tRPC | GraphQL |
|---|---|---|
| Type Safety Setup | Zero config — automatic inferenceWinner | graphql-codegen build step required |
| Multi-Language Clients | TypeScript only | 20+ languages via schemaWinner |
| Bundle Size (client) | ~15KB (core)Winner | ~32KB (Apollo Client min) |
| API Explorer / Playground | None built-in | GraphiQL / Apollo SandboxWinner |
| Field Selection | Procedure returns full type | Client specifies fieldsWinner |
| Monorepo DX | Best-in-class (shared router types)Winner | Good (codegen required) |
Pros & Cons
tRPC
Pros
- Zero codegen: TypeScript inference propagates server router types to client automatically — no schema, no build step
- Instant autocomplete: IDE sees server procedure signatures in real time as you type client calls
- Zod validation built-in: input/output schemas defined once, validated server-side and inferred client-side
- React Query integration: tRPC v11 wraps TanStack Query — caching, stale-while-revalidate, optimistic updates out of the box
- Minimal bundle: core ~15KB gzipped; no Apollo Client, no schema registry, no introspection endpoint
Cons
- TypeScript-only: non-TypeScript clients (Python, Go, mobile native) cannot consume tRPC procedures
- No public API use case: no introspection, no Playground, no schema document for third-party consumers
- Monorepo-coupled: requires shared types between client and server packages — awkward in polyrepo setups
- Limited tooling: no Postman native support, no Swagger UI, no standardised API explorer
GraphQL
Pros
- Language-agnostic: clients in TypeScript, Swift, Kotlin, Python all consume the same GraphQL schema
- Introspection: schema self-documents — GraphiQL/Apollo Sandbox provide interactive explorers for free
- Field-level selection: clients fetch only required fields, reducing over-fetching across mobile/web clients
- Federation (Apollo): compose 10+ subgraph services into one unified schema with @key directives
- Code-first or schema-first: Pothos (code-first) or SDL (schema-first) — team chooses authoring style
Cons
- Codegen required: graphql-codegen runs to generate TypeScript types — adds build step and CI dependency
- N+1 problem: list resolvers require DataLoader batching — not automatic, adds 1–2 days of setup per entity
- HTTP caching disabled: POST-only endpoint bypasses CDN caching without persisted queries infrastructure
- Higher initial complexity: schema, resolvers, context, DataLoader, and Apollo Client configuration before first query
Our Verdict: tRPC vs GraphQL
Use tRPC if your entire stack is TypeScript, your client and server share a codebase or monorepo, and you have no requirement to expose a public API or serve non-TypeScript clients. The developer experience is the best available for TypeScript monorepos. Use GraphQL if you need a public or semi-public API, multiple client types (mobile native, third-party, microservices in other languages), or a formal schema contract between teams. Many large Next.js apps use tRPC for internal routes and GraphQL for the customer-facing API layer.
tRPC vs GraphQL — FAQs
Can tRPC and GraphQL coexist in the same Next.js project?
Yes — this is a common pattern. tRPC handles internal server-action-equivalent calls between Next.js frontend and API routes in the same repo (auth, user preferences, dashboard data), while GraphQL serves a public-facing API consumed by mobile apps or third-party integrations. The two systems are independent: tRPC uses its own HTTP adapter and React Query hooks; GraphQL has its own Apollo Server endpoint. There is no conflict, though the dual-API surface adds cognitive overhead for smaller teams.
Does tRPC work with React Native or Flutter clients?
tRPC works with React Native because React Native runs JavaScript/TypeScript. The tRPC client and TanStack Query run in React Native without modification — you get the same type-safe hooks as in Next.js. Flutter and other non-JS clients cannot use tRPC because it depends on TypeScript type inference — the contract is in TypeScript types, not a language-agnostic schema. For Flutter, you would need to expose a REST or GraphQL endpoint separately, which is why many teams use GraphQL for cross-platform apps with a Flutter client.
Is tRPC fast enough for production at scale, or does GraphQL perform better?
tRPC and GraphQL have similar network performance — both send JSON over HTTP by default, and the payload difference is negligible. tRPC's client bundle is smaller (~15KB vs ~32KB for Apollo Client), which matters for initial page load. Server-side, tRPC procedure calls are slightly faster because they skip schema parsing and resolver dispatch overhead. GraphQL's DataLoader, when properly implemented, can be more efficient than tRPC for deeply nested relational data fetching. At most production scales (under 10K req/s per service), the performance difference between tRPC and GraphQL is not the deciding factor.
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