REST vs gRPC
A detailed comparison of features, privacy, and developer experience.
Last reviewed: 2026-05-17
Executive Summary
REST is the right default for public APIs and anything humans debug. gRPC wins for internal service-to-service traffic where types, streaming, and throughput matter.
REST
Representational State Transfer, the dominant HTTP-based API style. Resources at URLs, verbs as HTTP methods, JSON payloads. Easy to debug with curl and browser devtools.
gRPC
A binary RPC framework from Google built on HTTP/2 and Protocol Buffers. Strongly typed, fast, supports bidirectional streaming, but harder to inspect without tooling.
Editor's Verdict
REST and gRPC solve the same problem at different layers. REST's win is universality: every language has an HTTP client, browsers speak it natively, and you can debug an endpoint with curl in 5 seconds. That's why every public API still ships REST (or REST-shaped GraphQL). gRPC's win is throughput and type safety: Protocol Buffers generate matching client/server code in every major language, HTTP/2 multiplexing eliminates head-of-line blocking, and binary framing is 5–10× smaller than JSON over the wire. The right rule: if a third party or a browser calls it, REST. If your own services call it and you control both ends, gRPC. Streaming use cases (chat, telemetry) lean gRPC. Hybrid: gRPC internally + a REST gateway for external clients.
🌐When to use REST
- Public APIs consumed by third parties or browsers
- Anything you need to debug with curl or browser devtools
- Simple CRUD where setup cost matters more than per-request overhead
⚡When to use gRPC
- Internal service-to-service traffic where you control both ends
- High-throughput or streaming workloads (telemetry, chat, video)
- Polyglot backends needing strong cross-language type safety
| Feature | REST | gRPC |
|---|---|---|
| Transport | HTTP/1.1 or HTTP/2 | HTTP/2 required |
| Payload format | JSON (typically) | Protocol Buffers (binary) |
| Schema-first / type-safe | OpenAPI optional | Required (.proto) |
| Browser support | Native (fetch) | Needs gRPC-Web proxy |
| Streaming | SSE / WebSocket bolt-on | Bidirectional native |
| Debug with curl | ||
| Payload size | ~3-10× larger | Compact binary |
| Code generation | Optional | Standard workflow |
Key Takeaways
- REST: text-based (JSON), HTTP/1.1+, debuggable in curl/browser, ubiquitous client support.
- gRPC: binary (Protobuf), HTTP/2, code-generated clients, ~5-10× more efficient on wire.
- REST is the right default for public/external APIs; gRPC excels at internal service-to-service.
- Browsers can't speak gRPC natively, gRPC-Web is the workaround but adds proxy complexity.
- Streaming: gRPC supports bidirectional streams natively; REST needs WebSockets or SSE.
Common Mistakes
- Exposing gRPC directly to browsers, they can't speak it; gRPC-Web is the bridge, with caveats.
- Using gRPC for slow-changing public APIs, Protobuf evolution rules are stricter than JSON schema evolution.
- Adopting gRPC for a 2-service prototype, overhead doesn't pay off until you have many services or strict latency targets.
- Forgetting that gRPC's debuggability is poor, losing the ability to `curl` your services is a real cost.
Frequently Asked Questions
Can browsers call gRPC?+
Not directly. Browsers can't speak raw gRPC over HTTP/2 due to API limitations. Use gRPC-Web (a proxy that translates) or a REST gateway in front of your gRPC services.
What about gRPC over the public internet?+
It works (Buf and ConnectRPC are good options), but you give up REST's universal tooling. Most public APIs that need RPC-style ergonomics use ConnectRPC, which speaks both gRPC and HTTP/JSON.
How much faster is gRPC?+
For internal services, 2-10× depending on payload shape. Binary framing + HTTP/2 multiplexing + no JSON parse cost adds up. But latency is usually dominated by the actual work, not the protocol.
How we tested this
We evaluated both REST and gRPC in real developer workflows to build this comparison. Our assessment covers feature parity, privacy posture, developer experience, and ecosystem maturity.
Why these tools are worth your time
Privacy-respecting picks
We prefer tools that run locally or are explicit about what they send to the cloud.
Daily-driver tested
Recommendations come from real developer workflows, not marketing pages.
No vendor lock-in advice
We surface the trade-offs so you can switch later without rewriting your stack.