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  5. OData vs OpenAPI

OData vs OpenAPI

OverviewComparisonAlternatives

Overview

OData
OData
Stacks61
Followers139
Votes35
OpenAPI
OpenAPI
Stacks696
Followers458
Votes6
GitHub Stars19.5K
Forks7.0K

OData vs OpenAPI: What are the differences?

  1. Key difference 1: Data query and manipulation capabilities: OData provides well-defined query and manipulation capabilities for data sources, allowing clients to perform complex operations like filtering, sorting, and paging directly on the server-side. On the other hand, OpenAPI does not include any specific query or manipulation capabilities for data sources.
  2. Key difference 2: Protocol and format: OData is a protocol that supports multiple data formats such as JSON and Atom, providing a standardized way of interacting with data services over HTTP. OpenAPI, on the other hand, is a specification for defining RESTful APIs, focusing on documenting the operations, parameters, and responses of the API endpoints rather than specifying the protocol or format.
  3. Key difference 3: Data model: OData has a built-in data model concept called the Entity Data Model (EDM), which allows for defining and representing structured data along with its relationships. OpenAPI does not have any built-in data model concept and only focuses on describing the operations and endpoints of an API.
  4. Key difference 4: Hypermedia support: OData includes support for hypermedia controls, which provide navigation capabilities between related entities within the API. OpenAPI does not have native support for hypermedia controls and relies on the conventions or extensions to achieve similar functionality.
  5. Key difference 5: Client and server implementations: OData specifies a set of guidelines and conventions to enable the implementation of both client and server components that adhere to the protocol. OpenAPI, on the other hand, only focuses on documenting the API and does not provide any guidelines or conventions for implementing client or server components.
  6. Key difference 6: Extensibility: OData provides extensibility options like custom query options, annotations, and extensions to extend the protocol beyond its standard capabilities. OpenAPI, on the other hand, does not have any native extensibility mechanisms and relies on additional specifications or conventions to add custom functionality to the API.

In Summary, OData and OpenAPI differ in terms of data query and manipulation capabilities, protocol and format, data model, hypermedia support, client and server implementations, and extensibility options.

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Detailed Comparison

OData
OData
OpenAPI
OpenAPI

It is an ISO/IEC approved, OASIS standard that defines a set of best practices for building and consuming RESTful APIs. It helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query options, etc.

It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service.

OData RESTful APIs are easy to consume; ISO/IEC approved
-
Statistics
GitHub Stars
-
GitHub Stars
19.5K
GitHub Forks
-
GitHub Forks
7.0K
Stacks
61
Stacks
696
Followers
139
Followers
458
Votes
35
Votes
6
Pros & Cons
Pros
  • 7
    Patterns for paging, sorting, filtering
  • 5
    ISO Standard
  • 4
    Query Language
  • 3
    No overfetching, no underfetching
  • 3
    RESTful
Cons
  • 1
    Overwhelming, no "baby steps" documentation
Pros
  • 1
    The most popular api spec
  • 1
    Supports caching
  • 1
    Supports authentication
  • 1
    Supports versioning
  • 1
    Easy to learn
Integrations
Python
Python
C++
C++
JavaScript
JavaScript
Visual Studio Code
Visual Studio Code
.NET
.NET
Java
Java
Stoplight
Stoplight
PayPal
PayPal
Kong
Kong
SAP HANA
SAP HANA
Talend
Talend
Mule runtime engine
Mule runtime engine

What are some alternatives to OData, OpenAPI?

Postman

Postman

It is the only complete API development environment, used by nearly five million developers and more than 100,000 companies worldwide.

GraphQL

GraphQL

GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.

Paw

Paw

Paw is a full-featured and beautifully designed Mac app that makes interaction with REST services delightful. Either you are an API maker or consumer, Paw helps you build HTTP requests, inspect the server's response and even generate client code.

Karate DSL

Karate DSL

Combines API test-automation, mocks and performance-testing into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Besides powerful JSON & XML assertions, you can run tests in parallel for speed - which is critical for HTTP API testing.

Appwrite

Appwrite

Appwrite's open-source platform lets you add Auth, DBs, Functions and Storage to your product and build any application at any scale, own your data, and use your preferred coding languages and tools.

Runscope

Runscope

Keep tabs on all aspects of your API's performance with uptime monitoring, integration testing, logging and real-time monitoring.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

PostGraphile

PostGraphile

Execute one command (or mount one Node.js middleware) and get an instant high-performance GraphQL API for your PostgreSQL database

Insomnia REST Client

Insomnia REST Client

Insomnia is a powerful REST API Client with cookie management, environment variables, code generation, and authentication for Mac, Window, and Linux.

RAML

RAML

RESTful API Modeling Language (RAML) makes it easy to manage the whole API lifecycle from design to sharing. It's concise - you only write what you need to define - and reusable. It is machine readable API design that is actually human friendly.

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