JSON vs YAML - When to Use Each Format

5 min read
Share:

JSON vs YAML: When to Use Each Format

JSON and YAML both represent structured data, but they optimize for different use cases. Here's a practical guide to choosing the right format.

Quick Decision Guide

Use Case Recommended Why
API request/response JSON Universal support, strict parsing
Configuration files YAML Comments, readability
Browser/JavaScript JSON Native parsing
Kubernetes/Docker YAML Industry standard
Data interchange JSON Unambiguous, fast
Human-edited files YAML Less punctuation

The Same Data, Two Formats

JSON:

{
  "server": {
    "host": "localhost",
    "port": 8080,
    "ssl": true
  },
  "database": {
    "connection": "postgres://localhost/myapp",
    "pool_size": 10
  },
  "features": ["auth", "logging", "cache"]
}

YAML:

# Server configuration
server:
  host: localhost
  port: 8080
  ssl: true

# Database settings
database:
  connection: postgres://localhost/myapp
  pool_size: 10

features:
  - auth
  - logging
  - cache

The YAML version is 30% shorter and includes comments. The JSON version is unambiguous and machine-friendly.


Detailed Comparison

Syntax

Feature JSON YAML
Quotes required Always for strings Usually optional
Comments ❌ Not supported # comment
Multi-line strings \n escapes Several options
Trailing commas ❌ Invalid N/A (no commas)
Key format Strings only Strings, numbers, etc.

Data Types

Type JSON YAML
Strings "hello" hello or "hello"
Numbers 42, 3.14 42, 3.14
Booleans true, false true, yes, on (and more)
Null null null, ~, or empty
Arrays [1, 2, 3] - 1\n- 2\n- 3 or [1, 2, 3]
Objects {"a": 1} a: 1 or {a: 1}

Parsing & Performance

Aspect JSON YAML
Parse speed Fast Slower
Library availability Universal Common
Streaming support Yes Limited
Error messages Clear Can be cryptic

When to Choose JSON

1. APIs and Data Exchange

REST APIs universally use JSON. Every language has built-in or standard library support.

// JavaScript - native support
const data = JSON.parse(response);
const json = JSON.stringify(data);

2. When Strictness Matters

JSON's rigid syntax catches errors early. There's only one way to represent each value.

3. Browser Applications

JSON parsing is built into every browser. No library needed.

fetch('/api/data')
  .then(res => res.json())  // Built-in parsing
  .then(data => console.log(data));

4. Inter-System Communication

When systems need to exchange data reliably, JSON's simplicity and strict parsing prevent ambiguity.


When to Choose YAML

1. Configuration Files

YAML's readability shines for configs that humans edit:

# Application settings
app:
  name: MyApp
  version: 1.0.0
  
# Enable these features
features:
  authentication: true
  rate_limiting: true
  # Coming soon
  # webhooks: true

2. Infrastructure as Code

Kubernetes, Docker Compose, GitHub Actions, and most DevOps tools use YAML:

# docker-compose.yml
services:
  web:
    image: nginx:latest
    ports:
      - "80:80"
    volumes:
      - ./html:/usr/share/nginx/html

3. When You Need Comments

JSON has no comment syntax. If you need to document your data inline, use YAML.

4. Complex Multi-line Strings

YAML handles multi-line content elegantly:

description: |
  This is a multi-line string
  that preserves line breaks
  exactly as written.

folded: >
  This multi-line string
  will be folded into
  a single line.

YAML Gotchas

YAML's flexibility creates ambiguity. Watch for these:

The Norway Problem

countries:
  - DK  # Denmark
  - NO  # Parsed as boolean false!
  - SE  # Sweden

YAML interprets NO, no, n, off as false. Always quote country codes:

countries:
  - "DK"
  - "NO"
  - "SE"

Accidental Numbers

version: 1.0    # Number, not string "1.0"
version: 1.10   # Number 1.1, not "1.10"
port: 8080      # Number, usually fine
zip: 02134      # Octal! Becomes 1116 in some parsers

Quote values when the string representation matters.

Indentation Sensitivity

# Valid
items:
  - one
  - two

# Invalid (inconsistent indentation)
items:
  - one
   - two

Use spaces, never tabs. Be consistent.


JSON Gotchas

No Comments

You can't add comments. Common workarounds:

{
  "_comment": "This is a hack",
  "actual_data": "here"
}

Better: use JSONC in development, strip for production.

No Trailing Commas

{
  "a": 1,
  "b": 2,  // ← Error!
}

This is the most common JSON error. Use a linter.

Verbose for Humans

JSON's quotes and brackets add visual noise. For small configs, it's fine. For large ones, consider YAML.


Converting Between Formats

Use our online converters for quick conversions:

YAML to JSON (Programmatic)

JavaScript (Node.js):

const yaml = require('js-yaml');
const fs = require('fs');

const doc = yaml.load(fs.readFileSync('config.yaml', 'utf8'));
console.log(JSON.stringify(doc, null, 2));

Command line (with yq):

yq -o=json config.yaml > config.json

JSON to YAML

JavaScript (Node.js):

const yaml = require('js-yaml');
const data = require('./config.json');

console.log(yaml.dump(data));

Command line:

yq -P config.json > config.yaml

Hybrid Approaches

JSON for APIs, YAML for Config

Most projects use both:

project/
├── config/
│   ├── app.yaml         # Human-edited config
│   └── secrets.yaml     # Environment-specific
├── src/
│   └── api.js           # Sends/receives JSON
└── package.json         # JSON (npm requires it)

JSONC for Development

VS Code supports JSON with Comments (JSONC) for settings files:

{
  // Editor settings
  "editor.fontSize": 14,
  "editor.tabSize": 2,
  
  /* Formatting 
     options */
  "editor.formatOnSave": true
}

Summary

Choose JSON when:

  • Building APIs
  • Data needs to be parsed by machines
  • Working in browsers
  • Interoperability is critical
  • You want strict validation

Choose YAML when:

  • Humans edit the file regularly
  • You need comments
  • Working with DevOps tools
  • Readability is prioritized
  • Complex nested structures

Both formats are here to stay. Use the right tool for each job.


Converters

Tools

Learn More

Related Articles