Import Local, Online, Cloud CSV to SQLite | Bulk Load, Update, Upsert | No SQL Required
Download Withdata FileToDBWithdata FileToDB is a professional desktop ETL tool designed for seamless CSV to SQLite 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 SQLite table with auto schema detection and column mapping. 📷
Merge multiple CSV files (same structure) into a single SQLite table in one operation – ideal for log data and batch files. 📷
Batch import many CSV files to corresponding SQLite tables automatically, save hours of repetitive work. 📷
Refresh existing SQLite 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 SQLite 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 SQLite file, password 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 SQLite 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 SQLite 3.0+ (all modern versions).
Yes. FileToDB supports importing online CSV, cloud CSV, and web CSV files via URL directly to SQLite without downloading locally.
Windows, Linux (Debian, Ubuntu, RedHat, Fedora), macOS – all in one package.