Import Local, Online, Cloud CSV to SQL Server | Bulk Load, Update, Upsert | No SQL Required
Download Withdata FileToDBWithdata FileToDB is a professional desktop ETL tool designed for seamless CSV to SQL Server integration. All data processing runs locally on your device – 100% secure, no cloud uploads, no data leakage.
Basic one-way import: load one CSV file into a target SQL Server table with auto schema detection and column mapping. 📷
Merge multiple CSV files (same structure) into a single SQL Server table in one operation – ideal for log data and batch files. 📷
Batch import many CSV files to corresponding SQL Server tables automatically, save hours of repetitive work. 📷
Refresh existing SQL Server records using CSV data based on primary key / unique column. 📷
Smart sync: insert new rows and update existing rows at the same time – the best way to keep SQL Server up-to-date. 📷
Directly load online CSV, cloud CSV, web CSV via URL to Redshift without downloading files locally. Support HTTPS/HTTP links, auto fetch and load. 📷
Launch FileToDB, enter your SQL Server server, port, username, password, and target database (support Windows/SQL Server authentication) to connect. 📷
choose your local CSV file (supports all sizes) 📷, or enter online/cloud CSV URL 📷.
Auto-match or manually configure columns, set date formats, null values and data rules. Preview data, select import type: Append, Replace, Update or Upsert. 📷
Click start – load millions of rows in seconds. Save session for future reuse. 📷
For scheduled tasks (daily/weekly/hourly sync), use the built-in CLI mode:
Yes. All data processing is done locally. Your CSV files and SQL Server credentials never leave your computer.
Absolutely. FileToDB supports ultra-large CSV files with no size limits and optimized loading speed.
No. All operations are visual and wizard-driven. No coding or SQL required.
FileToDB support SQL Server 2000, 2005, 2008, 2008 R2, 2014, 2016, 2017, 2019, 2022, 2025.
Yes. FileToDB supports importing online CSV, cloud CSV, and web CSV files via URL directly to SQL Server without downloading locally.
Windows, Linux (Debian, Ubuntu, RedHat, Fedora), macOS – all in one package.