OData vs REST APIs: A Quick Guide with 4 Key Differences

Different Software Systems can behave better when combined. But how can two different Software Systems unify forces to communicate and exchange data in a coherent way? A number of standards and protocols have been discovered to facilitate communication between different systems. If you have ever explored these systems, you might have come across two popular technologies: OData and REST APIs. 

These two are technologies used to facilitate communication and interaction between different Software Systems. Although the two are closely related, they are not the same. There are major and significant differences between the two technologies. In this OData vs REST APIs article, we will help you to know everything about these two technologies. We will answer questions like, “What is OData?” and “What is REST?”. We will then go deeper and discuss the differences between OData and REST.

Table of Contents

• Understanding the Concept of REST APIs
• Understanding the Concept of OData
• OData vs REST APIs: What’s the Difference?
  • OData vs REST APIs: Function
  • OData vs REST APIs: Principles
  • OData vs REST APIs: Best Use Case
  • OData vs REST APIs: Data Transfer Format
• Conclusion

Understanding the Concept of REST APIs

REST (REpresentational State Transfer) refers to a Software Architectural Style that defines the standards for exchanging information between two different systems via the HTTP Protocol. It is the most popular architecture for exchanging data on the World Wide Web.

REST defines 6 different principles for Web Services:

• Uniform Interface: All components in a REST system must adhere to the same interface and rules so as to communicate with each other. 
• Client-Server: REST separates Servers from Clients. The Servers store information, while the Clients retrieve information from the Servers. 
• Stateless: All requests made via REST are stateless. They have all the necessary information needed by the Server to execute the request. 
• Cacheable: In REST, both Clients and Servers can cache resources, which is good for reducing traffic and improving performance. 
• Layered System: REST supports a Layered System Architecture. The Client may communicate with one Server, while the other Servers perform tasks such as Data Storage and Authentication. 
• Code on Demand: REST requisitions may return executable code or logic when necessary (optional). 

Any API (Application Programming Interface) that follows the above principles is referred to as a REST API. In most cases, REST APIs use XML or JSON, but the REST Architecture doesn’t require anything specific as far as this is concerned. REST does not require any particular format, but it accepts any format that can be used in Content Negotiation. 

Understanding the Concept of OData

OData (Open Data Protocol) is a set of best practices for developing and using RESTful APIs. It helps you to focus on your Business Logic while creating RESTful APIs without the need to worry about various ways to define request and response Headers, HTTP Methods, Status Codes, Media Types, URL Conventions, Payload Formats, and more. 

OData carries the following specifications:

1. It must follow REST principles unless there is a clear reason why it should not.
2. The OData services MUST have support for Atom encoding.
3. OData services SHOULD have support for JSON encoding. 

REST is the most essential component technology of OData. OData 3.0 standards require OData users to follow REST principles. OData rests on HTML technology, which resolves the problem of being REST-based in a way. It supports two Protocols for Data Transfer, the XML-based Atom format and JSON. 

OData also has guidance for performing actions like defining reusable procedures, tracking changes, and sending many REST requests.  

It provides two models for Data Management which include:

1. Entity Data Model (EDM): This is an abstract Data Model that OData users MUST use to describe the exposed data. 
2. Service Model: It is made up of Static Resources and a set of Dynamic Resources. The work of the Static Resources is to provide a way of asking the Service about its Data Model, while the Dynamic Resources provide methods to manage the Data Model.

In the next section, we will be discussing OData vs REST APIs to know how the two compare in different core areas. 

OData vs REST APIs: What’s the Difference?

Let’s now discuss how OData and REST APIs compare to each other:

OData vs REST APIs: Function

REST Function

REST is an architecture that defines how to send messages between a Client and a Server via HTTP. It is a model that states that you can use HTTP and its verbs to perform CRUD Operations (Create, Read, Update, Delete) on the resources exposed by your Services. Thus, REST is more concerned about the architecture. 

OData Function

OData is a standard from Microsoft that relies on the REST Architecture to send specific types of messages over HTTP. It defines metadata in CSDL (Common Schema Definition Language) format to describe the Entity types supported by your Service and their Properties, Data types, and more. Thus, OData is more concerned about the content.

OData vs REST APIs: Principles

REST Principles

REST defines 6 principles, as has been listed above, to ensure the creation of efficient Web Services and REST APIs must follow these principles. These principles ensure the success of REST Projects. 

OData Principles

OData is built on top of the REST Framework, thus, it depends on REST principles. Note that even though OData recommends its users to follow REST principles every time, the requirement can be relaxed in the case of a good reason. A very basic, Compliant Service should be easy to build, with additional work necessary only to support additional capabilities. 

OData vs REST APIs: Best Use Case

REST API Best Use Case

REST is used when there is a need to interact with a Data Source, for example, to retrieve data for all Products. It is easier and faster to parse data using REST APIs. It uses URI to expose the Business Logic. 

The following operations are available on HTTP:

OData Best Use Case

OData is best used to expose Services and APIs to Systems and Applications. It has facilities for extension to achieve the custom needs of the REST APIs. 

OData vs REST APIs: Data Transfer Format

REST Data Transfer Format

Data transfer format is an important factor to consider when comparing OData vs REST. REST supports the transfer of data in any format. Although most REST APIs use XML and JSON formats, REST is not specific in regard to this. 

OData Data Transfer Format

OData API specifies that the data should be transferred in either JSON, XML, or Atom format. 

Those were the major differences between OData vs REST.  

Conclusion

This blog discussed fine differences across OData vs REST APIs. We also discussed concepts behind OData and REST APIs, their specifications and principles. 

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