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What Is gRPC? High-Performance APIs, Explained

gRPC is a high-performance RPC framework from Google that uses HTTP/2 and Protocol Buffers for fast, typed, cross-language service communication.

Chisato Chisato · · 3 min read
Code braces linking API endpoints

gRPC is an open-source remote procedure call (RPC) framework, originally built at Google, that lets services call functions on other services across a network as if they were local function calls. It uses HTTP/2 as its transport layer and Protocol Buffers (protobuf) as its serialization format, which together make it significantly faster and more compact than a typical REST/JSON API.

How gRPC works

The core idea is a shared contract called a service definition, written in .proto files using the Protocol Buffers interface description language. That contract specifies the service’s methods, and the data types each message must contain.

service UserService {
  rpc GetUser (UserRequest) returns (UserResponse);
}

message UserRequest {
  int32 user_id = 1;
}

message UserResponse {
  int32 id = 1;
  string name = 2;
  string email = 3;
}

From that .proto file, the protoc compiler generates ready-to-use client and server code in your language of choice — Go, Python, Java, C#, Rust, and more. The generated code handles serialization, deserialization, and the networking boilerplate, leaving you to implement just the business logic.

On the wire, messages are encoded as compact binary rather than human-readable text. Combined with HTTP/2’s multiplexed streams, this means many concurrent RPC calls can share a single connection without head-of-line blocking.

The four call types

gRPC supports four interaction patterns, which is a significant advantage over basic REST:

  • Unary — one request, one response. The classic request/reply pattern.
  • Server streaming — one request, a stream of responses. Useful for live feeds or large result sets.
  • Client streaming — a stream of requests, one final response. Good for uploading chunked data.
  • Bidirectional streaming — both sides stream simultaneously. Powers real-time collaboration, chat, or telemetry.

REST has no first-class equivalent to streaming; you’d need WebSockets or Server-Sent Events instead, added separately.

gRPC vs. REST

gRPCREST
Wire formatBinary (protobuf)Text (usually JSON)
TransportHTTP/2HTTP/1.1 or HTTP/2
SchemaStrongly typed .proto contractOptional (OpenAPI, etc.)
Code generationBuilt-in via protocOptional tooling
StreamingFour call types built inRequires add-ons
Browser supportRequires gRPC-Web proxyNative
Human readabilityLow (binary)High

REST, as covered in what is a REST API, is simpler to explore with a browser or curl and has universal tooling support. gRPC wins on raw throughput, strict typing, and built-in streaming — traits that matter most inside a microservices backend where services talk to each other constantly.

GraphQL occupies a different niche: flexible client-driven queries over HTTP, typically to a single endpoint. gRPC is better suited to internal service-to-service calls with known, stable contracts.

When to use gRPC

gRPC shines in these situations:

  • Microservices communication. When many small services call each other at high volume, binary encoding and HTTP/2 multiplexing reduce latency and bandwidth. See microservices vs. monolith for more context on that architecture.
  • Polyglot environments. The protoc generator produces idiomatic clients in many languages from a single contract, eliminating hand-written client libraries.
  • Streaming workloads. Real-time data pipelines, live dashboards, and bidirectional chat benefit from native streaming.

The main caveat is browser support. Browsers cannot speak raw HTTP/2 frames directly, so a gRPC-Web proxy layer is required between browser clients and a gRPC backend.

Data format: protobuf vs. JSON

JSON is a text format designed to be readable by humans. That readability is a convenience when debugging but costs space and CPU cycles to parse. Protocol Buffers encode each field as a compact binary tag-length-value triplet. A protobuf message is typically three to ten times smaller than equivalent JSON and serializes several times faster.

The trade-off is debuggability: you can’t inspect a protobuf payload with your eyes or a standard text tool. The contract lives in the .proto file, and the compiler enforces it — which is actually a feature in production, since mismatched field types become compile-time errors rather than runtime surprises.

The takeaway

gRPC is a high-performance RPC framework that pairs HTTP/2’s efficient transport with Protocol Buffers’ compact binary serialization and a strongly typed schema that generates client and server code automatically. It’s best suited to internal service-to-service communication — especially in microservices architectures where speed, strong typing, and streaming matter. For public APIs consumed by browsers or external developers, REST or GraphQL remain more practical choices.

The Lycoris Team The Lycoris Team · · 3 min read

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