Withdata Software

Redshift import multiple CSV files into a single table

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

Try Withdata FileToDB, a desktop CSV to Redshift converter for Windows, MacOS, and Linux, Convert CSV to Redshift, 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 Redshift table

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

Choose Redshift 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 Redshift table and config fields.

4. Preview data will be in Redshift table.

5. Import multiple CSV files to the Redshift table.

View imported data in Redshift table

Import multiple CSV files to Redshift in command line

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

Set scheduled tasks for importing multiple CSV files to Redshift

You can schedule and automate this converting task by:

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

FAQ

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


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