OData (Open Data Protocol)

Key Features of OData:

1. RESTful Architecture

   • OData follows REST principles, allowing CRUD operations using standard HTTP methods:
     • GET (Retrieve data)
     • POST (Create data)
     • PUT/PATCH (Update data)
     • DELETE (Remove data)

2. Queryable API (Similar to SQL)

   • OData allows filtering, sorting, and pagination directly in API requests.
   • Example:

     
     GET /Customers?$filter=Age gt 30&$orderby=Name
     
     

     • Retrieves customers where Age > 30, sorted by Name.

3. Metadata and Schema Discovery

   • OData provides a $metadata endpoint to expose the data structure.

     
     GET /$metadata
     
     

   • This helps clients understand available entities, relationships, and operations.

4. Supports JSON & XML Formats

   • OData allows clients to choose between JSON and XML responses.

5. Standardized Data Manipulation

   • Supports batch processing, associations, and nested data handling.

OData Example

Request (Retrieve Customers over 30 years old, sorted by Name)

GET https://api.example.com/Customers?$filter=Age gt 30&$orderby=Name

Response (JSON)

{
  "value": [
    {
      "ID": 1,
      "Name": "Alice",
      "Age": 35,
      "Email": "alice@example.com"
    },
    {
      "ID": 2,
      "Name": "Bob",
      "Age": 40,
      "Email": "bob@example.com"
    }
  ]
}

OData vs REST API: What's the Difference?

Where is OData Used?

✅ Microsoft Dynamics 365 Finance & Operations (D365 F&O)
✅ Power BI & Excel Data Integration
✅ SAP, SharePoint, and Enterprise Applications
✅ Applications with complex querying needs

OData is especially useful when working with D365 F&O, as it provides seamless data integration with external apps.

For more information on OData, please refer to the following web links: