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  5. JSON API vs REST

JSON API vs REST

OverviewComparisonAlternatives

Overview

REST
REST
Stacks239
Followers198
Votes0
JSON API
JSON API
Stacks185
Followers197
Votes0

JSON API vs REST: What are the differences?

Introduction

In this section, we will discuss the key differences between JSON API and REST in terms of implementation and functionality. Both JSON API and REST are widely used for building web services, but they have distinct features that set them apart from each other.

  1. Error Handling: JSON API provides a standardized approach for handling errors by using a dedicated error object within the response payload. It includes standardized error codes, error messages, and links to related resources for better error resolution. On the other hand, REST does not have a standardized way of handling errors, leaving the implementation up to developers, which can lead to inconsistency and lack of clarity in error responses.

  2. Payload Efficiency: JSON API minimizes the payload size by allowing clients to request specific fields only, reducing the network traffic and improving performance. It achieves this through the use of sparse fieldsets and inclusion of related resources when needed. In contrast, REST typically returns the entire resource representation, including all its attributes and relationships, which can result in unnecessary data transfer.

  3. Server-driven Responses: JSON API promotes a server-driven approach where the server defines the structure and layout of the responses. It provides a clear structure for returning related resources and includes resource linkage information, enabling clients to easily navigate through the API. REST, on the other hand, relies on the client to discover and navigate resources through hyperlinks, leading to a more client-driven architecture.

  4. Bulk Operations: JSON API includes support for bulk operations, allowing clients to perform multiple create, update, or delete actions in a single request. It provides a standardized way of sending bulk data and defines how the server should handle these requests. REST does not have a standardized approach for bulk operations, leaving it to developers to define custom endpoints or methods for handling bulk requests.

  5. Caching: JSON API includes a built-in cache control mechanism using cache headers and etags. It allows clients to cache responses and make conditional requests to the server, reducing the load on the server and improving performance. REST does not have a standardized caching mechanism and leaves it up to developers to implement caching strategies.

  6. Sorting and Filtering: JSON API provides standardized parameters for sorting and filtering resources, allowing clients to specify sorting criteria and filter conditions directly in the request URL. It defines a clear syntax for expressing sorting and filtering operations, promoting consistency across different API implementations. In contrast, REST does not have a standardized approach for sorting and filtering, leaving it to developers to define their own query parameters or URL conventions.

In summary, JSON API provides standardized error handling, minimizes payload size, promotes server-driven responses, supports bulk operations, includes caching mechanisms, and defines standardized parameters for sorting and filtering. REST, on the other hand, lacks these standardized features and leaves the implementation up to developers.

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Detailed Comparison

REST
REST
JSON API
JSON API

An architectural style for developing web services. A distributed system framework that uses Web protocols and technologies.

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.

Statistics
Stacks
239
Stacks
185
Followers
198
Followers
197
Votes
0
Votes
0
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  • 4
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What are some alternatives to REST, JSON API?

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.

gRPC

gRPC

gRPC is a modern open source high performance RPC framework that can run in any environment. It can efficiently connect services in and across data centers with pluggable support for load balancing, tracing, health checking...

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

OData

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.

Oracle PL/SQL

Oracle PL/SQL

It is a powerful, yet straightforward database programming language. It is easy to both write and read, and comes packed with lots of out-of-the-box optimizations and security features.

SQL

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).

Graphene

Graphene

Graphene is a Python library for building GraphQL schemas/types fast and easily.

graphql.js

graphql.js

Lightest GraphQL client with intelligent features. You can download graphql.js directly, or you can use Bower or NPM.

JsonAPI

JsonAPI

t is a format that works with HTTP. A main goal of the specification is to optimize HTTP requests both in terms of the number of requests and the size of data packages exchanged between clients and servers.

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