Dataset schema drift detector
Compare CSV exports to find added fields, removed fields and changes in observed data types.
Compares header sequence, observed type categories, dominant types and the presence of empty values. Different record counts alone do not prove drift. This compares samples, not a declared SQL schema. Up to 1,000,000 characters, 10,000 data records, 100 columns and 100,000 cells across the sources. Files for multi-source tools are limited to 4,000,000 bytes total. Reports retain at most 500 diagnostic findings and state any omitted count. CSV and JSON outputs are limited to 4,000,000 characters. Paste CSV data with unique column headers. Quoted multiline cells are supported. Results update as you type. Up to 1,000,000 characters.
Your result
How to use Dataset schema drift detector
- Paste the earlier CSV in the main input.
- Paste the newer export in Comparison CSV.
- Review field changes and download the complete report.
Useful next steps
Prepare the source
Paste the earlier CSV in the main input.
Choose the matching rules
Paste the newer export in Comparison CSV.
Review and keep the result
Review field changes and download the complete report. Compares header sequence, observed type categories, dominant types and the presence of empty values. Different record counts alone do not prove drift. This compares samples, not a declared SQL schema.