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OData

55
132
+ 1
35
OpenAPI

614
430
+ 1
6
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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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Pros of OData
Pros of OpenAPI
  • 7
    Patterns for paging, sorting, filtering
  • 5
    ISO Standard
  • 4
    Query Language
  • 3
    RESTful
  • 3
    No overfetching, no underfetching
  • 2
    Get many resources in a single request
  • 2
    Self-documenting
  • 2
    Batch requests
  • 2
    Bulk requests ("array upsert")
  • 2
    Ask for what you need, get exactly that
  • 1
    Evolve your API by following the compatibility rules
  • 1
    Resource model defines conventional operations
  • 1
    Resource Modification Language
  • 1
    The most popular api spec
  • 1
    Easy to learn
  • 1
    Supports versioning
  • 1
    Supports authentication
  • 1
    Supports caching

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Cons of OData
Cons of OpenAPI
  • 1
    Overwhelming, no "baby steps" documentation
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    - No public GitHub repository available -

    What is OData?

    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.

    What is OpenAPI?

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

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    What are some alternatives to OData and OpenAPI?
    REST
    An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.
    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.
    JSON
    JavaScript Object Notation is a lightweight data-interchange format. It is easy for humans to read and write. It is easy for machines to parse and generate. It is based on a subset of the JavaScript Programming Language.
    SQL
    SQL is designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
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