πŸ’‘ 𝐑𝐄𝐒𝐓 𝐯𝐬 𝐠𝐑𝐏𝐂: Choosing the Right API Protocol

Apurv upadhyay
2 min readJust now

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https://www.linkedin.com/in/apurvupadhyay/

When building APIs, REST and gRPC are two popular choices, each with unique advantages. Here’s a detailed look to help you decide when to use each, complete with code examples.

πŸ”Ή π—₯π—˜π—¦π—§ (Representational State Transfer)

REST is a standard protocol based on HTTP/1.1, commonly used for web applications that prioritize ease of use, human readability, and cross-platform compatibility.

β€’ π—£π—Ώπ—Όπ˜€: Simple to understand, browser-friendly, widely compatible across platforms.

β€’ π—–π—Όπ—»π˜€: Can have higher latency; limited to JSON/XML formats; less efficient for high-throughput scenarios.

REST API Sample Code (C# β€” ASP.NET Core)

[ApiController]
[Route("api/[controller]")]
public class ProductController : ControllerBase
{
[HttpGet("{id}")]
public ActionResult<Product> GetProduct(int id)
{
var product = new Product { Id = id, Name = "Sample Product" };
return Ok(product);
}

[HttpPost]
public ActionResult CreateProduct([FromBody] Product product)
{
// Process and save the product
return CreatedAtAction(nameof(GetProduct), new { id = product.Id }, product);
}
}

In this REST example:

β€’ HttpGet retrieves a product by ID.

β€’ HttpPost allows product creation with JSON payloads.

πŸ”Ή 𝗴π—₯𝗣𝗖 (Google Remote Procedure Call)

gRPC is a high-performance, open-source RPC framework from Google, using HTTP/2. It’s optimized for low latency and high-throughput, ideal for internal services in microservice architectures.

β€’ π—£π—Ώπ—Όπ˜€: Low latency, supports bi-directional streaming, and enables strongly-typed language support through Protocol Buffers (Protobuf).

β€’ π—–π—Όπ—»π˜€: Not browser-friendly (requires client libraries); setup can be complex; best for internal systems rather than public APIs.

gRPC API Sample Code (C#)

  1. Define the Service in a .proto file
syntax = "proto3";

service ProductService {
rpc GetProduct (ProductRequest) returns (Product);
}

message ProductRequest {
int32 id = 1;
}

message Product {
int32 id = 1;
string name = 2;
}

2. Implement the Service in C#

public class ProductService : ProductService.ProductServiceBase
{
public override Task<Product> GetProduct(ProductRequest request, ServerCallContext context)
{
var product = new Product { Id = request.Id, Name = "Sample Product" };
return Task.FromResult(product);
}
}

In this gRPC example:

β€’ GetProduct retrieves a product by ID, with a compact and fast Protobuf format.

🎯 Key Takeaways

β€’ REST is ideal for public APIs and applications where compatibility and human-readable responses are a priority.

β€’ gRPC excels in internal microservices and high-performance applications, thanks to bi-directional streaming and low-latency capabilities.

Choose π—₯π—˜π—¦π—§ for simplicity and broad compatibility, and 𝗴π—₯𝗣𝗖 for performance-sensitive, internal applications.

❀️ Share Your Thoughts!

Feel free to repost ♻️ if you found this helpful. For more great content on microservices, follow πŸ›  Apurv Upadhyay. Until next time, happy coding! πŸš€

#APIs #REST #gRPC #CodingTips #SoftwareEngineering #Backend

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Apurv upadhyay

Principal Software Engineer at PeerIslands β€’ Microsoft Azure Certified Architect Expert & DevOps Specialist β€’ 7x Azure Certified β€’ ex-Microsoft, Bosch