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JSON vs XML vs CSV

JSON, XML, and CSV are the three most common data interchange formats in software. Each has clear strengths and weaknesses. Choosing the right one for your use case saves integration headaches later.

The same data in all three formats

Here is a list of two users represented in each format:

XML:

JSON
<users>
  <user>
    <name>Alice</name>
    <age>30</age>
    <email>[email protected]</email>
  </user>
  <user>
    <name>Bob</name>
    <age>25</age>
    <email>[email protected]</email>
  </user>
</users>

JSON:

JSON
[
  {"name": "Alice", "age": 30, "email": "[email protected]"},
  {"name": "Bob", "age": 25, "email": "[email protected]"}
]

CSV:

JSON
name,age,email
Alice,30,[email protected]
Bob,25,[email protected]

JSON is typically 40–60% smaller than XML for the same data.

When to use JSON

  • REST APIs and web services — JSON is the universal default
  • Configuration files — readable and writable by humans and machines
  • Browser-side data storage — localStorage, IndexedDB
  • Nested or hierarchical data — JSON handles this naturally
  • Any modern language ecosystem — every language has a JSON library
JSON
{
  "order": {
    "id": "ORD-001",
    "items": [
      {"sku": "A1", "qty": 2},
      {"sku": "B3", "qty": 1}
    ],
    "total": 59.97
  }
}

When to use XML

  • SOAP web services and enterprise integrations
  • Documents with mixed content (text + markup), like XHTML
  • Systems requiring namespaces, DTD, or XSD schema validation
  • Legacy systems that predate JSON's rise (pre-2005)
  • SVG and other XML-based file formats

XML has richer tooling for schema validation (XSD) and transformation (XSLT), which matters in formal enterprise contexts.

When to use CSV

  • Exporting tabular data to spreadsheets (Excel, Google Sheets)
  • Simple flat data with no nesting
  • Data science and analytics pipelines where each row is an observation
  • Bulk imports/exports from databases
  • Files that non-developers need to edit in a spreadsheet tool

CSV cannot represent nested structures at all. A product with multiple categories has no natural CSV representation without denormalizing.

Quick comparison table

FeatureJSONXMLCSV
Human-readableGoodVerboseGood
Supports nestingYesYesNo
CommentsNoYesNo
Schema supportJSON SchemaXSD / DTDNone
File sizeSmallLargeSmallest
Browser nativeYesYes (DOM)No
Spreadsheet-friendlyNoNoYes

Try it in JSON Prism

Need to convert between these formats? The JSON Converter handles JSON-to-CSV, JSON-to-XML, and the reverse — no manual reformatting required. For a look at other alternatives beyond these three, see JSON Alternatives.