Withdata Software

Import CSV into SQL Server

Want to import data from CSV file to SQL Server?

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

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

Import data from CSV file to SQL Server

Login to SQL Server -> Choose CSV file -> Set SQL Server table -> Import CSV to SQL Server

Choose SQL Server and logon.

Click “Wizard – 1 File To 1 Table” at task dialog.

Select the “CSV” file type.

then show the wizard.

1. Open a CSV file.

Support large ( > 4GB ) CSV file.

Here is the file’s content.

2. Select a SQL Server table and config fields.

3. Preview data will be in SQL Server table.

4. Import CSV data to SQL Server.

View imported data in SQL Server table

Import CSV to SQL Server in command line

Save “CSV to SQL Server” session, then you can:

Set scheduled tasks for importing CSV to SQL Server

You can schedule and automate this “CSV to SQL Server” conversion task by:

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

FAQ

What is Withdata FileToDB?

Withdata FileToDB is an ETL software can import CSV data to SQL Server. Download Withdata FileToDB

How long does it take to import CSV data to SQL Server?

FileToDB works fast. It convert millions of rows within a minute.

Is it safe to import CSV data to SQL Server using FileToDB?

Of course! FileToDB import CSV data to SQL Server locally, absolutely safe.

Can I import CSV data to SQL Server on Linux, Mac OS?

Yes, you can. FileToDB has Linux, Mac OS, and Windows version.

Can I import CSV data to SQL Server in command line?

Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


More about Withdata FileToDBCSV to SQL Server converter

See Video: Import data from CSV file into SQL Server table in a few clicks

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