Load
Open CSV, TSV or Excel. Files stay on your device.
Validate CSV and Excel files, map columns, apply rules, and generate SQL for Oracle, SQL Server and PostgreSQL — entirely in your browser.
MERGE INTO CUSTOMERS t USING (...) s ON (t.ID = s.ID) WHEN MATCHED THEN UPDATE ...
Load a CSV or Excel file. RowMend inspects it locally and never sends the file to a server.
Large files are analyzed in your browser. Preview and SQL generation are intentionally capped for responsiveness. CSV delimiters are auto-detected by default and can be overridden manually. Invalid rows are excluded from generated SQL unless you explicitly opt in.
Open CSV, TSV or Excel. Files stay on your device.
Detect issues, rename target columns and apply validation rules before import.
Download clean data, export errors, or create SQL from valid rows by default.
RowMend helps you run data quality checks on CSV and Excel data before importing it into a database. Detect missing required values, duplicate keys, invalid data and mapping issues before they reach your target system.
Map source columns, apply validation rules, separate valid and invalid rows, and generate SQL for Oracle, SQL Server and PostgreSQL — directly in your browser.
Read the practical guide to validating CSV and Excel before database import
RowMend is designed as a local-first tool. Parsing, validation, mapping, profile storage and SQL generation happen in the browser. This MVP has no application backend and no account system.
Saved mapping profiles remain in local browser storage until you delete them. Voluntary product feedback is collected separately through Tally and never includes your uploaded file, spreadsheet contents, column names, generated SQL, target table names or validation results.
The free tool supports local mapping profiles and validation. A future Pro version can add team-shared profiles, CI/CD checks, audit trails and richer automation.