JSON vs CSV
Differences, use cases, and when to use each
JSON represents hierarchical, typed data with nested objects and arrays. CSV represents flat, tabular data with rows and columns. JSON is ideal for APIs and complex structures; CSV excels at simple tabular data and spreadsheet compatibility.
Quick Comparison
| Feature | JSON | CSV |
|---|---|---|
| Structure | Hierarchical (nested) | Flat (tabular) |
| Data Types | String, number, boolean, null, array, object | All values are strings |
| Nesting | Unlimited depth | Not supported |
| File Size | Larger (keys repeated) | Smaller (headers once) |
| Spreadsheet Support | Requires conversion | Direct open in Excel |
When to Use Each
When to Use JSON
Use JSON when your data has nested structures, mixed types, or needs to be consumed by web applications and APIs. JSON preserves data types and relationships.
When to Use CSV
Use CSV for flat, tabular data that will be opened in spreadsheets, imported into databases, or processed by data analysis tools. CSV is the universal data exchange format for tabular data.
Pros & Cons
JSON
CSV
Verdict
CSV for simple tabular data and spreadsheet workflows. JSON for structured, typed data and API communication. Many pipelines convert between them as needed.