CSV and JSON are the two workhorses of data interchange, but they solve different problems. CSV is a flat grid of rows and columns — ideal for spreadsheets and tabular exports. JSON represents nested objects and arrays, which makes it the default for APIs and configuration.
Choosing the wrong one causes pain: forcing hierarchical data into CSV loses structure, while dumping a simple table into JSON adds noise. Knowing the trade-offs — and how to convert cleanly — keeps your pipelines simple.
| Aspect | CSV | JSON |
|---|---|---|
| Structure | Flat rows and columns | Nested objects and arrays |
| Human readable | Very, in a spreadsheet | Readable but verbose |
| File size | Compact — no repeated keys | Larger — keys repeat per record |
| Types | Everything is text | Strings, numbers, booleans, null |
| Best for | Spreadsheets, bulk tables | APIs, configs, nested records |
Use CSV for flat tables and JSON for structured or nested data. In practice you'll convert between them constantly — pull JSON from an API, flatten to CSV for analysis, then rebuild JSON for the next system. Pick the format that matches the consumer, not the producer.
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