tRPC vs GraphQL ComparisonEnd-to-end TypeScript inference vs language-agnostic schema contracts: the API layer decision
tRPC launched in 2021 and found its home in the T3 Stack, a popular Next.js starter combining TypeScript, Tailwind, tRPC, and Prisma. The pitch is compelling: write a server function, call it from the client, and TypeScript infers the types end-to-end with no code generation, no SDL, and no GraphQL client to configure. GraphQL has been the default for complex multi-client APIs since Facebook open-sourced it in 2015, it works across languages, has a rich tooling ecosystem, and makes your API a versioned contract that third parties can consume. The fundamental constraint with tRPC is it only works when both client and server are TypeScript. If that constraint fits your project, tRPC is dramatically simpler.
Head-to-head summary
Detailed comparison
Our verdict
tRPC wins decisively for full-stack TypeScript applications: Next.js, T3 Stack, monorepos where client and server share a TypeScript codebase. GraphQL wins when you need a language-agnostic API, multiple clients with different data needs, or a public API that third-party developers will query. Don't use tRPC if you have non-TypeScript clients or need to expose a public API.
When to choose each
Choose tRPC when:
- Your client and server are both TypeScript: Next.js, T3 Stack, or a TypeScript monorepo
- You want zero codegen overhead and instant type feedback in your IDE
- Your API is consumed by a single frontend you control
- You're building fast and want to skip the SDL and schema-design ceremony
Choose GraphQL when:
- You have mobile clients, third-party consumers, or non-TypeScript frontends
- You need a public API with introspection and self-documenting schema
- Multiple teams consume your API and need a stable, versioned contract
- Your data model is highly relational and clients need flexible field selection
Frequently asked questions
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