Withdata Software

HiperSix import multiple CSV files into a single table

Want to import multiple CSV files into a single HiperSix table?

Try Withdata FileToDB, a desktop CSV to HiperSix converter for Windows, MacOS, and Linux, Convert CSV to HiperSix, Easy and Fast.

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 HiperSix table

Login to HiperSix -> Choose CSV files -> Set HiperSix table -> Import CSV files to HiperSix table

Choose HiperSix 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 HiperSix table and config fields.

4. Preview data will be in HiperSix table.

5. Import multiple CSV files to the HiperSix table.

View imported data in HiperSix table

Import multiple CSV files to HiperSix in command line

Save “multiple CSV files to HiperSix” session, then you can:

Set scheduled tasks for importing multiple CSV files to HiperSix

You can schedule and automate this converting task by:

  1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to HiperSix” conversion.
  2. Set scheduled task for “CSV to HiperSix” conversion.

FAQ

What is Withdata FileToDB?
Withdata FileToDB is an ETL software can import CSV data to HiperSix. Download Withdata FileToDB
How long does it take to import CSV data to HiperSix?
FileToDB works fast. It convert millions of rows within a minute.
Is it safe to import CSV data to HiperSix using FileToDB?
Of course! FileToDB import CSV data to HiperSix locally, absolutely safe.
Can I import CSV data to HiperSix on Linux, Mac OS?
Yes, you can. FileToDB has Linux, Mac OS, and Windows version.
Can I import CSV data to HiperSix in command line?
Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


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