JSON vs XML vs YAML: A Practical Comparison
9 min read
JSON, XML and YAML are the three most common text formats for representing structured data. They overlap a lot, but each has strengths that make it the better fit for certain jobs. Let's compare them using the same piece of data, then dig into the trade-offs that actually matter in practice.
The same data in three formats
JSON:
{
"service": "api",
"port": 8080,
"enabled": true,
"hosts": ["a.example.com", "b.example.com"]
}XML:
<config>
<service>api</service>
<port>8080</port>
<enabled>true</enabled>
<hosts>
<host>a.example.com</host>
<host>b.example.com</host>
</hosts>
</config>YAML:
service: api
port: 8080
enabled: true
hosts:
- a.example.com
- b.example.comNotice the size difference. The XML version is roughly twice as long; the YAML version is the most compact and arguably the easiest to skim. That density difference compounds at scale and shapes where each format is used.
JSON
Best for: web APIs and machine-to-machine data exchange. JSON is compact, fast to parse, supported everywhere, and maps directly to objects and arrays in code. Its weaknesses are no native comments and slightly noisy syntax (lots of quotes and braces) for hand-editing. It also has no built-in schema language, though JSON Schema fills that gap as an add-on.
XML
Best for: documents, legacy enterprise systems, and cases that need rich metadata (attributes), namespaces, or schema validation via XSD. XML is the most verbose of the three, which makes payloads larger and parsing heavier, but its tooling for validation and transformation (XSLT, XPath) is mature and battle-tested. XML also distinguishes between element content and attributes, which JSON has no direct equivalent for.
YAML
Best for: configuration files that humans edit by hand β think CI pipelines, Kubernetes manifests, and Docker Compose. YAML is the most readable, uses indentation instead of brackets, and supports comments. The trade-off is that its reliance on whitespace makes it easy to break with a stray space, and its richer feature set (anchors, multiple documents, implicit typing) can introduce surprises β the famous "Norway problem", where no is parsed as the boolean false, is a classic gotcha.
Importantly, YAML is a superset of JSON β any valid JSON is also valid YAML. That is why converting between them is straightforward, and why many tools accept either.
Head-to-head comparison
- Verbosity: YAML < JSON < XML.
- Comments: YAML and XML yes; JSON no.
- Parsing speed: JSON is typically fastest; XML the slowest.
- Schema/validation: XML has XSD built in; JSON uses JSON Schema; YAML usually borrows JSON Schema.
- Human editing: YAML is friendliest; XML the most tedious.
- Risk of silent mistakes: YAML highest (whitespace + implicit typing); JSON lowest.
Quick decision guide
- Building or consuming a web API? Use JSON.
- Writing config a person will edit often? Use YAML.
- Integrating with enterprise/legacy systems or need schema validation and attributes? Use XML.
Frequently asked questions
Is YAML always better than JSON for config?
For human-edited config, YAML's comments and reduced punctuation are a real advantage. But for machine-generated config or anything performance-sensitive, JSON's simpler, less surprising grammar is safer. Many teams write YAML and convert to JSON internally.
Can I convert between JSON, XML and YAML?
Yes, though not always losslessly. JSON β YAML is clean because YAML is a JSON superset. XML conversion is trickier because XML attributes and mixed content have no direct JSON equivalent, so a convention has to be chosen.
Which is fastest to parse?
JSON, in almost every benchmark. Its grammar is minimal and parsers are highly optimised. XML is the slowest due to its richer feature set.
Working with JSON
Whichever format you start from, you will often end up converting to JSON to work with it in code. Once you have JSON, you can format, validate, compare and repair it in the JSON Wallet editor. New to the format? Start with What is JSON?
Keep reading
What Is JSON? A Beginnerβs Guide
JSON is the most widely used data format on the web. This guide explains what it is, how it is structured, and where you will run into it as a developer.
JSON Syntax Rules Explained (With Examples)
JSON has a small but strict grammar. This reference walks through every rule with valid and invalid examples so your data parses the first time.
Common JSON Errors and How to Fix Them
Every developer hits "Unexpected token in JSON" eventually. Here are the most common JSON errors, what causes them, and exactly how to fix each one.
Ready to put this into practice? Open the free JSON editor β