CSV vs JSON
CSV or JSON for data export? Size, schema and tooling compared.
Reviewed by The Markvibe Team · Last updated 2026-06-28
CSV is the lowest-common-denominator format for tabular data — it opens in Excel, weighs almost nothing, and predates the web. JSON handles nested structures, types, and arrays natively. The right pick depends on whether the data is a flat table or a tree.
Side-by-side comparison
| Feature | CSV | JSON |
|---|---|---|
| Nested data | ❌ Flat only | ✅ Nested trees |
| Types | All strings | string, number, bool, null |
| Opens in Excel | ✅ Native | ❌ Needs import |
| File size | Smaller for tables | Larger |
| Standard | RFC 4180 (loosely) | RFC 8259 |
Our recommendation
Use CSV for tabular exports headed to spreadsheets. Use JSON for anything with nesting, types, or API consumers.
Try
JSON tool →
More comparisons
- MD5 vs SHA-256 — Which hash function should you use in 2026? Speed, collision resistance and modern recommendations compared.
- UUID v4 vs Nano ID — UUID v4 or Nano ID for identifiers? Length, collision risk and URL-friendliness compared.
- JSON vs YAML — JSON or YAML for configuration? Readability, parsing, and gotchas compared.
- WebP vs AVIF — WebP or AVIF for web images in 2026? Compression, browser support and encoding speed compared.
- Base64 vs Hex — Base64 or Hex encoding? Size overhead, readability and where each is conventional.
