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  5. JSON vs JSON Server

JSON vs JSON Server

OverviewDecisionsComparisonAlternatives

Overview

JSON
JSON
Stacks2.0K
Followers1.6K
Votes9
JSON Server
JSON Server
Stacks133
Followers189
Votes7
GitHub Stars75.3K
Forks7.2K

JSON vs JSON Server: What are the differences?

  1. Key difference 1: Parsing and processing data JSON is a data interchange format used to represent structured data as a string. It is primarily used for data transmission between a server and a web application. On the other hand, JSON Server is a tool that enables developers to create a fully functional RESTful API from a JSON file. It acts as a mock server, allowing developers to test their web applications without the need for a real backend server. While JSON is used for parsing and processing data, JSON Server enhances the development process by providing a simulated backend environment.

  2. Key difference 2: Data modifications JSON does not provide direct functionalities for data modifications. It is a read-only format used for data representation and transmission. In contrast, JSON Server allows developers to perform CRUD (Create, Read, Update, Delete) operations on the data present in the JSON file. Developers can make HTTP requests to the JSON Server and modify the data through the supported RESTful API endpoints. This capability of JSON Server makes it a more versatile tool for application development.

  3. Key difference 3: Real-time data synchronization JSON does not inherently support real-time data synchronization. It is a static representation of data at a given moment. However, JSON Server can be configured with other technologies like WebSocket or polling mechanisms to enable real-time data synchronization. Developers can implement features where changes made by one user are automatically reflected in the UI of other users using JSON Server. This feature makes JSON Server a suitable choice for collaborative web applications requiring real-time updates.

  4. Key difference 4: Authentication and authorization JSON does not provide built-in features for authentication and authorization. It does not have mechanisms to secure access to the data or validate the user's identity. On the contrary, JSON Server can be customized and extended to incorporate authentication and authorization mechanisms. Developers can implement authentication strategies like token-based authentication or integrate it with existing authentication systems. This added security layer makes JSON Server a more secure option for web application development.

  5. Key difference 5: Integration with frontend frameworks JSON can be seamlessly integrated with frontend frameworks or libraries using APIs to parse and manipulate JSON data. It is a format that is widely supported and used by various frontend technologies. On the other hand, JSON Server is specifically designed to integrate with frontend JavaScript frameworks like React, Angular, Vue.js, etc. It provides a consistent and easy-to-use API that aligns with frontend development patterns, making it an ideal choice for frontend-backend integration.

  6. Key difference 6: Persistence and scalability JSON itself does not provide persistence or scalability out of the box. It is a format that represents data without explicitly defining storage or scalability mechanisms. Conversely, JSON Server comes with persistence features where the modifications made to the data are saved in the corresponding JSON file. It can also handle a significant amount of data and serve multiple parallel requests efficiently. This capability makes JSON Server a valuable tool for prototyping, development, and testing purposes.

In Summary, JSON is a data interchange format used for parsing and processing data, while JSON Server is a tool that provides a simulated backend environment, enables data modifications, supports real-time data synchronization, offers authentication and authorization mechanisms, integrates well with frontend frameworks, and provides persistence and scalability features.

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Advice on JSON, JSON Server

Dhinesh
Dhinesh

architect

Jun 16, 2020

Needs adviceonJSONJSONPythonPython

Hi. Currently, I have a requirement where I have to create a new JSON file based on the input CSV file, validate the generated JSON file, and upload the JSON file into the application (which runs in AWS) using API. Kindly suggest the best language that can meet the above requirement. I feel Python will be better, but I am not sure with the justification of why python. Can you provide your views on this?

350k views350k
Comments

Detailed Comparison

JSON
JSON
JSON Server
JSON Server

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.

Created with <3 for front-end developers who need a quick back-end for prototyping and mocking.

Statistics
GitHub Stars
-
GitHub Stars
75.3K
GitHub Forks
-
GitHub Forks
7.2K
Stacks
2.0K
Stacks
133
Followers
1.6K
Followers
189
Votes
9
Votes
7
Pros & Cons
Pros
  • 5
    Simple
  • 4
    Widely supported
Pros
  • 7
    Stupid simple
Integrations
MongoDB
MongoDB
PostgreSQL
PostgreSQL
MySQL
MySQL
JavaScript
JavaScript
JSONlite
JSONlite
No integrations available

What are some alternatives to JSON, JSON Server?

JavaScript

JavaScript

JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.

Python

Python

Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.

PHP

PHP

Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.

Ruby

Ruby

Ruby is a language of careful balance. Its creator, Yukihiro “Matz” Matsumoto, blended parts of his favorite languages (Perl, Smalltalk, Eiffel, Ada, and Lisp) to form a new language that balanced functional programming with imperative programming.

Java

Java

Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!

Golang

Golang

Go is expressive, concise, clean, and efficient. Its concurrency mechanisms make it easy to write programs that get the most out of multicore and networked machines, while its novel type system enables flexible and modular program construction. Go compiles quickly to machine code yet has the convenience of garbage collection and the power of run-time reflection. It's a fast, statically typed, compiled language that feels like a dynamically typed, interpreted language.

HTML5

HTML5

HTML5 is a core technology markup language of the Internet used for structuring and presenting content for the World Wide Web. As of October 2014 this is the final and complete fifth revision of the HTML standard of the World Wide Web Consortium (W3C). The previous version, HTML 4, was standardised in 1997.

C#

C#

C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.

Postman

Postman

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

Scala

Scala

Scala is an acronym for “Scalable Language”. This means that Scala grows with you. You can play with it by typing one-line expressions and observing the results. But you can also rely on it for large mission critical systems, as many companies, including Twitter, LinkedIn, or Intel do. To some, Scala feels like a scripting language. Its syntax is concise and low ceremony; its types get out of the way because the compiler can infer them.

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