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JSON API

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197
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OData

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134
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35
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JSON API vs OData: What are the differences?

Introduction

JSON API and OData are two popular standards for building and consuming APIs. While both are used to facilitate data exchange between systems, there are several key differences that set them apart.

  1. Request and Response Format: JSON API uses a specific format for requests and responses, where data is structured in a consistent way using a standardized set of attributes and relationships. In contrast, OData allows for more flexibility in the format of requests and responses, allowing developers to specify the structure and data they require.

  2. Querying Capabilities: JSON API supports a limited set of querying capabilities, such as filtering, sorting, and pagination. On the other hand, OData provides a rich set of query options, including advanced filtering, sorting, grouping, and aggregation, making it more suitable for complex data retrieval scenarios.

  3. Metadata and Schema Definition: OData provides a built-in mechanism for defining metadata and schema information, allowing clients to discover and understand the available data and operations. JSON API, however, does not have a standardized way of expressing metadata, requiring clients to rely on external documentation or conventions.

  4. Relationship Handling: JSON API has a strict convention for representing relationships between resources, allowing for efficient retrieval and manipulation of related data. OData, on the other hand, provides more flexibility in how relationships are handled, allowing for different representations and navigation paths.

  5. Versioning and Compatibility: JSON API does not have a built-in mechanism for versioning and compatibility, requiring developers to implement their own strategies. OData, on the other hand, provides out-of-the-box support for versioning and compatibility through its versioning scheme and queryable metadata.

  6. Protocol and Transport: JSON API is typically served over HTTP and follows REST principles, using endpoints and HTTP methods for CRUD operations. OData, on the other hand, is a more comprehensive protocol that can be implemented over various transports, including HTTP, MQTT, and others, providing more flexibility in how data is exchanged.

In summary, JSON API and OData differ in their request and response format, querying capabilities, metadata definition, relationship handling, versioning and compatibility support, and protocol and transport options.

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Pros of JSON API
Pros of OData
    Be the first to leave a pro
    • 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

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    Cons of JSON API
    Cons of OData
      Be the first to leave a con
      • 1
        Overwhelming, no "baby steps" documentation

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      What is JSON API?

      It is most widely used data format for data interchange on the web. This data interchange can happen between two computers applications at different geographical locations or running within same hardware machine.

      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.

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      What companies use JSON API?
      What companies use OData?
      See which teams inside your own company are using JSON API or OData.
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      What tools integrate with JSON API?
      What tools integrate with OData?

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      What are some alternatives to JSON API and OData?
      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.
      OpenAPI
      It is a publicly available application programming interface that provides developers with programmatic access to a proprietary software application or web service.
      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).
      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.
      See all alternatives