YAML vs JSON: When to Use Each Format

A comparison of YAML and JSON formats, their strengths, and appropriate use cases.

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YAML vs JSON

Both are data serialization formats, but they serve different purposes best.

Syntax Comparison

JSON:
{
"server": {
"host": "localhost",
"port": 8080,
"ssl": true
},
"databases": ["mysql", "redis"]
}
YAML:
server:
host: localhost
port: 8080
ssl: true
databases:
- mysql
- redis

Key Differences

FeatureJSONYAML
Comments❌ Not supported✅ # comments
ReadabilityModerateHigh
VerbosityMore punctuationMinimal
Parsing speedFasterSlower
Multi-document❌ No✅ Yes

When to Use JSON

  • APIs: Standard for REST APIs
  • Data exchange: Universal support
  • JavaScript apps: Native parsing
  • Performance critical: Faster parsing

When to Use YAML

  • Configuration files: More readable
  • Docker Compose: Standard format
  • Kubernetes: All manifests are YAML
  • CI/CD pipelines: GitHub Actions, GitLab CI

YAML Superpowers

# Multi-line strings
description: |
This is a multi-line
string that preserves
line breaks.
# Anchors and aliases (DRY)
defaults: &defaults
timeout: 30
retries: 3

production:
<<: *defaults
host: prod.example.com

Frequently Asked Questions

Common questions about this topic

Yes, valid JSON is valid YAML (since YAML 1.2). You can paste JSON into YAML files. However, YAML has features JSON lacks: comments, anchors/aliases, multi-line strings, and more data types. YAML parsers accept JSON, but JSON parsers reject YAML-specific features.

YAML's readability: minimal punctuation, significant whitespace (like Python), comment support, and multi-line strings make configs easy to read and document. JSON's braces and quotes add visual noise. YAML also supports anchors for DRY configurations.

JSON is significantly faster - its simpler grammar allows faster parsing. YAML's flexibility (multiple ways to express the same data) makes parsing complex. For data interchange, especially in performance-critical systems, JSON is preferred. Use YAML for human-edited configs.