Want to import multiple CSV files into a single dBase table?
Try Withdata FileToDB, a desktop CSV to dBase converter for Windows, MacOS, and Linux, Convert CSV to dBase, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Convert locally and privately, avoid uploading large or private CSV files to online services.
- Support Windows, Linux, and macOS.
Download FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Import multiple CSV files into a single dBase table
Login to dBase -> Choose CSV files -> Set dBase table -> Import CSV files to dBase table
Choose dBase and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Select a folder that constains CSV files.
Support large ( > 4GB ) CSV files.
2. Config first CSV file importing options.
3. Select a dBase table and config fields.
4. Preview data will be in dBase table.
5. Import multiple CSV files to the dBase table.
View imported data in dBase table
Import multiple CSV files to dBase in command line
Save “multiple CSV files to dBase” session, then you can:
- Import multiple CSV files to dBase in Windows command line.
- Import multiple CSV files to dBase in Linux command line.
- Import multiple CSV files to dBase in macOS command line.
Set scheduled tasks for importing multiple CSV files to dBase
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to dBase” conversion.
- Set scheduled task for “CSV to dBase” conversion.
FAQ
More about Withdata FileToDB – CSV to dBase converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
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