YAML vs JSON vs XML
A Quick Guide and Cheatsheet for Programmatically Storing Data
Overview
Data within these formats share several common traits:
- Structured for Code
- Annotated for Humans
- Open Source
- Platform Agnostic
- Describes its own data
Feature Comparison
Feature | YAML | JSON | XML |
---|---|---|---|
Readability | Very readable | Readable | Less readable; verbose syntax |
Data Types | Strings, numbers, lists, associative arrays | Objects, arrays, strings, numbers, booleans, null | Wide range via schemas |
Comments | Supported | Not supported | Supported |
Hierarchy | Indentation | Braces and brackets | Tags and attributes |
Extension | .yaml or .yml | .json | .xml |
Metadata | Limited via tags | No direct support | Extensive via attributes/namespaces |
Parsing | Requires libraries | Native in most languages | Requires libraries |
Common Use Cases | Config files, simple data | Web APIs, data exchange | Complex structures, legacy systems |
Error Tolerance | More tolerant, flexible | Less tolerant, strict syntax | Less tolerant, strict syntax |
XML
- Legacy Support: XML (eXtensible Markup Language) is often used in older systems and SOAP (Simple Object Access Protocol) APIs.
- Verbose Syntax: XML can be less readable due to its extensive use of tags and attributes.
- Strong Metadata Support: XML allows for complex data structures with extensive support for attributes and namespaces.
JSON
- Popular: JSON (JavaScript Object Notation) is widely used, especially in web development.
- Lightweight: JSON is compact and easy to parse, making it ideal for data interchange between servers and web applications.
- Native to JavaScript: JSON is the default format for data in JavaScript environments.
YAML
- Highly Readable: YAML (YAML Ain’t Markup Language) is designed to be human-readable, using indentation to define structure.
- Compact: YAML files are often smaller and more straightforward than their JSON or XML counterparts, making them ideal for configuration files.
- Flexible: YAML’s syntax allows for easy editing and error tolerance, making it a favorite for DevOps and configuration management.
This post is licensed under Apache License 2.0 by the author.