Comparison
CSV vs JSON: understanding the difference
Flat tables vs nested structures—which data format fits your needs?
CSV: flat and simple
CSV represents data as rows and columns. Every row has the same fields. It's intuitive for spreadsheet-style data but can't represent hierarchy.
- Rows and columns only
- Every row has same structure
- Easy for humans to read
- Great for tabular data
JSON: nested and flexible
JSON can nest objects within objects, arrays within arrays. It handles complex relationships but is harder to view at a glance.
- Nested structures supported
- Flexible schema per record
- Native to web applications
- Better for hierarchical data
Quick CTA
Stick with CSV for tables
For tabular data, CSV keeps things simple. Open and explore your files instantly.
Open a CSVWhen to choose CSV
Pick CSV when your data is naturally tabular—lists of records where each record has the same fields.
- Customer lists
- Transaction logs
- Survey responses
- Inventory data
When to choose JSON
Pick JSON when records have varying structures or nested relationships that would require multiple CSV files.
- API responses
- Configuration files
- Document stores
- Complex nested objects
Key takeaway
Flat data belongs in CSV. Nested data belongs in JSON. Forcing either into the wrong format causes pain.