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When to choose gRPC over REST and Other Alternatives?
Hossein Esmati · 2026-06-26 · via DEV Community

Hossein Esmati

Quick Decision Tree: Which to choose?

  • Public APIs / external clientsREST (simple, widely compatible).
  • Internal service-to-service (microservices)gRPC (typed, fast, low-latency).
  • Streaming data pipelinesgRPC streaming or SignalR (depending on consumer type).
  • Frontend-heavy apps (Blazor/React)GraphQL if you want client-driven queries; otherwise REST with projections is simpler.
  • Real-time dashboards, chat, trading feedsSignalR/WebSockets.
  • Data-heavy querying → consider OData or GraphQL for flexible filters.

✅ My Recommendation for .NET 9:

  • Use REST at the edges (public endpoints, B2B).
  • Use gRPC for internal service-to-service calls between projects (AppHost, backends, workers).
  • Consider GraphQL if your frontends need flexible data shaping.
  • Add SignalR for real-time streaming to browsers.

1. Core Concepts

1.1) REST (Representational State Transfer)

  • Transport: HTTP/1.1 (can also run on HTTP/2/3).
  • Format: Typically JSON (but can be XML, HAL, etc.).
  • Style: Resource-oriented, CRUD-like verbs (GET/POST/PUT/DELETE).
  • Strengths:

    • Simple, universally understood, widely supported by tooling.
    • Works well for public APIs and external consumers.
  • Weaknesses:

    • Over-fetching/under-fetching (fixed DTOs).
    • Less efficient serialization compared to binary protocols.
    • No native streaming (must fake it with chunked responses, SignalR, or SSE).

1.2) gRPC

  • Transport: HTTP/2 (HTTP/3 support coming in .NET 9).
  • Format: Protocol Buffers (binary, compact, schema-driven).
  • Style: RPC (Remote Procedure Calls), proto-first design.
  • Strengths:

    • Low latency: Binary serialization and multiplexed HTTP/2 streams reduce overhead.
    • Strong typing: Proto schema compiles into C# types; no runtime surprises.
    • Streaming: Native support for server streaming, client streaming, and bidirectional.
    • Best for internal service-to-service (S2S) calls within a microservice mesh.
  • Weaknesses:

    • Harder for browser/JS clients (though gRPC-Web mitigates this).
    • Tooling is heavier (must manage .proto files and codegen).
    • Debugging is less straightforward than JSON over HTTP.

1.3) Other Alternatives

  • GraphQL: Flexible queries, avoids over/under-fetching. Best for frontend-heavy apps with diverse client needs. Slightly heavier CPU compared to REST projections.
  • SignalR / WebSockets: Real-time bidirectional messaging. Best for notifications, dashboards, chat, trading, telemetry. Not a general-purpose API style.
  • OData: REST with query semantics ($filter, $select, $expand). Good for data-heavy apps but complex and less popular today.
  • JSON-RPC: Lightweight RPC over HTTP. Rare in .NET ecosystem compared to gRPC.

2. Key Terms to know about

  • Low latency: gRPC avoids JSON serialization/deserialization overhead by using Protocol Buffers (binary).
  • Typed: Strongly typed contracts generated from .proto files → compile-time safety.
  • Internal S2S calls: Ideal inside a microservice cluster or Aspire-based distributed app, where both ends are .NET or support Protobuf.

2.1) Streaming

  • gRPC natively supports:
    • Unary (request → response, like REST).
    • Server streaming (one request → many responses, e.g. live feed).
    • Client streaming (many requests → one response).
    • Bidirectional streaming (both sides send streams simultaneously).
  • REST needs hacks (polling, SignalR, SSE) for this.

2.2) HTTP/2

  • Multiplexes multiple streams over a single TCP connection (fewer sockets, less head-of-line blocking).
  • Header compression (HPACK) saves bandwidth.
  • Required by gRPC (classic implementation).

2.3) Proto-first design

  • Define schema in .proto files:
  service OrderService {
    rpc GetOrder (GetOrderRequest) returns (OrderResponse);
    rpc StreamOrders (OrderFilter) returns (stream OrderResponse);
  }

  • From this, C# classes and service stubs are generated. The schema is the contract—language-neutral and stable.
  • Helps maintain backward/forward compatibility (additive fields, field numbers fixed).

3. REST vs gRPC vs Alternatives

Aspect REST gRPC GraphQL SignalR/WebSockets
Perf (latency/CPU) Higher (JSON parsing, more bytes) Lowest (binary, compact) Medium (parsing & resolver overhead) Low latency
Typed contracts JSON schema optional Proto = strongly typed Schema strongly typed Custom, looser typing
Streaming No (workarounds needed) Yes, native (uni/bi-directional) Subscription queries (but heavier) Yes, designed for real-time
Browser support Native Needs gRPC-Web Native Native
Use case fit Public APIs, external consumers Internal microservices, high-perf S2S, streaming Complex client-driven queries Real-time updates
.NET 9 support Minimal APIs, controllers, JSON source-gen → very fast First-class gRPC support, HTTP/3 coming HotChocolate GraphQL SignalR (mature)
.NET Aspire fit Easy integration with frontends, API gateways Perfect for inter-service calls inside Aspire distributed app Good for complex UI queries in Aspire frontends Aspire dashboard/telemetry scenarios