JSON vs OData

Overview

JSON

Stacks2.0K

Followers1.6K

Votes9

OData

Stacks61

Followers139

Votes35

JSON vs OData: What are the differences?

1. Data Format: JSON is a data format used for data interchange, while OData is a protocol for building and consuming RESTful APIs. JSON represents data in a readable format, whereas OData provides a set of conventions for creating and consuming web services. 2. Querying Capability: JSON does not have built-in querying capabilities, whereas OData allows for querying data using a standardized URL-based query language. This enables OData to perform more advanced data operations such as filtering, sorting, and pagination. 3. Metadata: JSON does not inherently support metadata, while OData includes metadata that describes the data model and structure of the API. This metadata can be used by consumers to understand and interact with the API more effectively. 4. Standardization: JSON is a general-purpose data format with no strict guidelines or standards, while OData follows a set of industry standards and best practices for building APIs. OData provides a standardized way to expose and consume data over the web. 5. Navigation and Relationships: OData supports the ability to navigate between related entities and establish relationships in the data, whereas in JSON, managing relationships between data entities can be more challenging and requires custom implementation. 6. Payload Size: JSON tends to have smaller payload sizes compared to OData due to its simplicity and lack of additional metadata. OData payloads can be larger due to the inclusion of metadata and additional query options.

In Summary, JSON and OData differ in their fundamental data format, querying capabilities, support for metadata, standardization, navigation of relationships, and payload sizes.

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Advice on JSON, OData

Dhinesh

architect

Jun 16, 2020

Needs adviceon

JSON

Python

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?

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Comments

Detailed Comparison

JSON	OData
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.	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.
-	OData RESTful APIs are easy to consume; ISO/IEC approved
Statistics
Stacks 2.0K	Stacks 61
Followers 1.6K	Followers 139
Votes 9	Votes 35
Pros & Cons
Pros 5 Simple 4 Widely supported	Pros 7 Patterns for paging, sorting, filtering 5 ISO Standard 4 Query Language 3 RESTful 3 No overfetching, no underfetching Cons 1 Overwhelming, no "baby steps" documentation
Integrations
MongoDB PostgreSQL MySQL JavaScript JSON Server JSONlite	Python C++ JavaScript Visual Studio Code .NET Java

What are some alternatives to JSON, OData?

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 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

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

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 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

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 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# (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.

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.

Elixir

Elixir leverages the Erlang VM, known for running low-latency, distributed and fault-tolerant systems, while also being successfully used in web development and the embedded software domain.

Related Comparisons

JSON vs OData: What are the differences?

In Summary, JSON and OData differ in their fundamental data format, querying capabilities, support for metadata, standardization, navigation of relationships, and payload sizes.

JSON vs OData

Overview