Why convert CSV to SQL?
SQL is a language for querying a running database, not a static file format. Loading a CSV into a database lets you run complex queries, filter large datasets in milliseconds, and expose the data to applications - it is the standard path for migrating exported data from a CRM, analytics tool or spreadsheet into a live system.
How to convert CSV to SQL
DBeaver FREE
Connect to your database, right-click the target schema and choose Tools > Import Data, select CSV as the source and map columns to your table. Also available for macOS and Linux.
About these formats
.CSV
Comma-Separated Values
A CSV file stores tabular data as plain text - one row per line, values separated by commas (or semicolons in European locales). Any spreadsheet opens it: Excel, Google Sheets, LibreOffice…
Open .CSV details →
.SQL
SQL Script (Structured Query Language source / database dump)
A SQL file is a plain-text file containing SQL commands - schema definitions, INSERT statements, or queries. Open it in any text editor to read it; to use it, execute it against a database…
Open .SQL details →Quality & what to watch
- You need a running database to import into; DBeaver can create a new table from the CSV headers automatically if one does not exist.
- Set the character encoding to UTF-8 and confirm the column delimiter (comma or semicolon) matches your file before importing.
- Configure the import tool to skip the first row so column headers are not inserted as a data row.
