Interactive Guide with Python Examples & Live Code Execution
An architectural style for designing networked applications using standard HTTP methods and typically JSON for data exchange.
A high-performance RPC framework using HTTP/2 and Protocol Buffers for fast, type-safe communication.
1. Client โ HTTP Request โ Server
GET /api/users/123 HTTP/1.1
Host: api.example.com
Accept: application/json
Authorization: Bearer token
2. Server โ HTTP Response โ Client
HTTP/1.1 200 OK
Content-Type: application/json
Cache-Control: max-age=3600
{"id": 123, "name": "John Doe"}
1. Client โ gRPC Call โ Server
POST /user_service.UserService/GetUser HTTP/2
Content-Type: application/grpc
grpc-encoding: gzip
[Binary Protobuf Data]
2. Server โ gRPC Response โ Client
HTTP/2 200 OK
Content-Type: application/grpc
grpc-status: 0
[Binary Protobuf Response]
Aspect | REST | gRPC |
---|---|---|
Protocol | HTTP/1.1 or HTTP/2 | HTTP/2 only |
Data Format | JSON, XML, HTML | Protocol Buffers (binary) |
Performance | Good for simple operations | High performance, low latency |
Streaming | Limited (Server-Sent Events) | Built-in bidirectional streaming |
Browser Support | Excellent native support | Requires grpc-web proxy |
Code Generation | Manual or framework-based | Automatic from .proto files |
Human Readability | High (JSON is readable) | Low (binary format) |
Caching | HTTP caching mechanisms | Limited caching options |
Learning Curve | Gentle, intuitive | Steeper, requires protobuf knowledge |
Payload Size | Larger (JSON overhead) | Smaller (binary encoding) |
Let's build a user management API using Flask. You can run and modify the code below:
Test the REST API endpoints directly:
Now let's build the same user management API using gRPC with Protocol Buffers. You can run and modify the code below:
Test the gRPC service endpoints directly:
Let's compare the performance of REST vs gRPC with an interactive benchmark tool:
Hybrid Approach: Use REST for external APIs and gRPC for internal services
REST Preferred: Better battery life and simpler implementation
gRPC Preferred: Low latency and bidirectional streaming
Mixed: REST for public API, gRPC for payment processing
The choice depends on your specific use case, team expertise, and performance requirements.
Many successful architectures use both REST and gRPC for different purposes.
gRPC offers better performance, while REST provides simplicity and broader compatibility.
Both technologies will continue to evolve. Understanding fundamentals helps adapt to changes.
Remember: The best architecture often combines multiple approaches. Many companies use REST for their public APIs while leveraging gRPC for internal service communication, getting the best of both worlds.
As technology evolves, new solutions like GraphQL continue to emerge, but understanding REST and gRPC fundamentals will serve you well in making informed architectural decisions.