CSV vs TSV
Differences, use cases, and when to use each
CSV (Comma-Separated Values) and TSV (Tab-Separated Values) are both flat text formats for tabular data. They differ only in the delimiter character. CSV uses commas; TSV uses tabs. TSV avoids the need to quote commas in data.
Quick Comparison
| Feature | CSV | TSV |
|---|---|---|
| Delimiter | Comma (,) | Tab (\t) |
| Quoting Required | When data contains commas | When data contains tabs (rare) |
| Human Readability | Moderate | Better (aligned columns in editors) |
| Spreadsheet Support | Universal | Wide (Excel, Sheets, etc.) |
| Common In | Databases, analytics exports | Bioinformatics, language data |
When to Use Each
When to Use CSV
Use CSV for general data exchange, database imports/exports, and when maximum compatibility with tools and platforms is needed. CSV is the de facto standard for tabular data.
When to Use TSV
Use TSV when your data frequently contains commas (text fields, addresses, descriptions) to avoid complex quoting rules. TSV is common in bioinformatics and NLP datasets.
Pros & Cons
CSV
TSV
Verdict
CSV for maximum compatibility; TSV when your data contains many commas. Both are simple text formats that any data tool can read. The choice is usually dictated by your data content.