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REST vs GraphQL vs gRPC: Which API Style Should You Use?
REST, GraphQL, and gRPC each fit different needs: simple HTTP, flexible queries, or high-performance service-to-service calls. A comparison table.
Quick answer
- REST is the default: simple, HTTP-native, and understood by everyone, with resources addressed by URLs.
- GraphQL gives clients a single flexible query endpoint and lets them request exactly the fields they need.
- gRPC is a high-performance binary protocol best for internal service-to-service calls.
The three styles compared
| Attribute | REST | GraphQL | gRPC |
|---|---|---|---|
| Format | JSON over HTTP | JSON over HTTP (one endpoint) | Binary (Protocol Buffers) |
| Data fetching | Fixed endpoints | Client-specified fields | Fixed, code-generated methods |
| Performance | Good | Good (but over-fetch/under-fetch solved) | Excellent, low overhead |
| Tooling/curl | Trivial | Needs clients | Needs generated stubs |
| Best for | Public APIs, most apps | Flexible frontends, many data shapes | Internal service mesh |
When to choose each
Choose REST for almost everything you start with: it’s the most interoperable, cacheable, and easy to debug, and its constraints (resources, HTTP verbs, status codes) keep APIs predictable. Choose GraphQL when a single client (a rich frontend, a mobile app) needs to fetch many related resources in one round trip and wants to avoid over-fetching. Choose gRPC for high-volume, low-latency service-to-service communication inside your own system, where the binary protocol and code generation pay off.
The trade-offs
REST’s predictability comes with over-fetching (you get the whole resource) and multiple round trips for related data. GraphQL solves that but adds a query language, caching complexity, and a learning curve. gRPC is fast and strongly typed but not human-readable over HTTP, so it’s poor for public APIs and harder to debug with a browser.
Where this bites vibecoders
AI assistants love to reach for GraphQL or gRPC because “it’s modern,” for an app whose needs are fully served by REST. The default should be REST — it’s the easiest to build, test, and secure — and you move only when you hit a concrete pain: a chatty client, or service-to-service latency. Trendiness is not an architecture requirement.
Where AI coding assistants get this wrong
- Choosing GraphQL for a simple CRUD API that REST would serve perfectly.
- Generating GraphQL schemas that expose the entire data model with no field-level controls.
- Using gRPC for a public API that third parties need to call from a browser.
- Mixing styles without a reason, creating inconsistent APIs.
Checklist
- Default to REST; justify any departure with a real problem.
- Choose GraphQL for flexible, single-round-trip client queries.
- Choose gRPC for internal service-to-service traffic.
- Keep whatever you choose consistent across the system.
- Document the API and its errors regardless of style.
FAQ
What is the difference between REST and GraphQL?
REST exposes fixed endpoints, each returning a predefined shape. GraphQL exposes one endpoint where the client specifies exactly which fields it wants. REST is simpler and more cacheable; GraphQL is more flexible for complex clients. Both use JSON over HTTP.
What is gRPC?
gRPC is a high-performance RPC framework using HTTP/2 and Protocol Buffers (a compact binary format). It generates typed client and server code from a schema, making it ideal for internal service communication, but it’s not browser-friendly for public APIs.
Can I use more than one style?
Yes — many systems use REST or GraphQL at the edge and gRPC internally, with a gateway between. The caution is to keep the boundaries deliberate and the styles consistent within each layer.