Disclaimer: ChatGPT generated document.
The terms IDL (Interface Definition Language) and schema are often used in data serialization, communication protocols, and API design, but they serve different purposes and operate at different layers.
An IDL defines *interfaces and APIs*—how components or services communicate.
It describes:
- Methods/functions available.
- Parameters and return types.
- RPC or message formats.
- Sometimes, exceptions or errors.
Think of it as a contract for communication. It defines how to call something, not just what data looks like.
Examples:
| Technology | IDL Example |
|---|---|
| gRPC | .proto files |
| CORBA | .idl files |
| D-Bus | XML-based IDL |
| Thrift | .thrift files |
| COM | .idl files |
Example (gRPC proto):
service Greeter {
rpc SayHello (HelloRequest) returns (HelloReply);
}
message HelloRequest {
string name = 1;
}
message HelloReply {
string message = 1;
}This describes the API, not just the data.
A schema describes only the *data structure*.
It defines:
- Field names
- Types
- Required/optional
- Constraints
- Default values
A schema does not define methods or communication rules, only how the data is shaped.
Examples:
| Technology | Schema Format |
|---|---|
| JSON | JSON Schema (.json) |
| XML | XSD |
| Avro | .avsc |
| SQL | CREATE TABLE |
| Protobuf | Also used as schema (message definitions) |
Example (JSON Schema):
{
"type": "object",
"properties": {
"name": { "type": "string" },
"age": { "type": "integer", "minimum": 0 }
},
"required": ["name"]
}This defines the data, without saying how it is used.
Some technologies (e.g., Protobuf, Thrift, Avro) combine IDL and schema in the same file. That’s why people sometimes get confused.
For example, in a .proto file:
messageblocks = schemaserviceblocks = IDL
| Aspect | IDL | Schema |
|---|---|---|
| Purpose | Defines how services communicate | Defines structure of data |
| Contains | Services, methods, RPCs | Fields, types, validation |
| Used for | API contracts, RPC, IPC | Serialization, validation |
| Layer | Interaction layer | Data layer |
| Example | service Foo { rpc Bar(...) } |
message Foo { int id = 1; } |
| Changing impact | Affects integration logic | Affects data format |
| If you are designing... | Use |
|---|---|
| A gRPC service | IDL + schema (.proto) |
| A REST API body | Schema (JSON Schema/OpenAPI) |
| A DB schema | SQL Schema |
| A messaging protocol | Schema (and possibly IDL if RPC) |
| A C++ header for ABI | IDL-like concepts |
🎭 IDL is like describing the menu and how to order 📦 Schema is like describing what’s inside each dish
If you’re comparing for C++ integration:
- Use IDL when working with RPC frameworks (gRPC, Thrift).
- Use schema when defining serialization formats (JSON, Avro).
- Sometimes you’ll work with both—schema for DTOs and IDL for the interface.
