Quick Verdict
Use CSV when…
Use CSV for general data exchange — Excel imports, API responses, and any context where 'standard' tabular data is expected. CSV is more universally recognized.
Use TSV when…
Use TSV for internal data pipelines, Unix command-line workflows, and anything where data values may contain commas. Tab characters are virtually never in data values, so TSV avoids most parsing edge cases.
CSV vs TSV: Feature Comparison
| Feature | CSV | TSV |
|---|---|---|
| Delimiter | Comma (,) | Tab (\t) |
| Parsing complexity | High (quoting needed for commas in values) | Low (tabs rarely appear in data) |
| European locale issues | Conflicts with comma decimal separator | No conflict |
| Excel default | Native open | Imports as text columns |
| Unix tool compatibility | Less native | Native (cut, awk, paste) |
| Field can contain newlines | Yes (with quoting) | Yes (with quoting) |
When CSV wins
- ✓Delimiter: Comma (,)
- ✓Parsing complexity: High (quoting needed for commas in values)
- ✓European locale issues: Conflicts with comma decimal separator
When TSV wins
- ✓Delimiter: Tab (\t)
- ✓Parsing complexity: Low (tabs rarely appear in data)
- ✓European locale issues: No conflict
Frequently asked questions
Which is faster to parse: CSV or TSV?
TSV is faster because it doesn't require quote handling — every tab is a true delimiter. CSV requires checking for quoted values that may contain commas, requiring stateful parsing. For a billion-row dataset, TSV can be 2–3× faster to parse.
Why do European users prefer TSV?
European locales use comma as the decimal separator (3,14 instead of 3.14). CSV files with numeric data become ambiguous — does '1,234' mean 1.234 or 1234? TSV avoids this entirely because tab is never a decimal separator in any locale.
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