Want to upsert data from TSV file to SQL Server ?
Upsert: inserts rows into a table if they do not already exist, or updates them if they do.
Try Withdata FileToDB, a desktop TSV to SQL Server converter for Windows, MacOS, and Linux, Convert TSV to SQL Server, 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 securely, avoid uploading large or private TSV file(s) to online services.
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
Upsert data from TSV file to SQL Server
Choose SQL Server and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “TSV” file type.
then show the wizard.
1. Open a TSV file.
2. Select a table and config fields.
Set “Load Type” to “Upsert”, choice “By Key”.
3. Preview data.
4. Upsert TSV data to SQL Server.
View upserted data
Upsert TSV data to SQL Server in command line
Save “TSV to SQL Server” session, then you can:
- Upsert TSV to SQL Server in Windows command line.
- Upsert TSV to SQL Server in Linux command line.
- Upsert TSV to SQL Server in macOS command line.
Set scheduled tasks for upseting TSV data to SQL Server
You can schedule and automate this “TSV to SQL Server” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “TSV to SQL Server” conversion.
- Set scheduled task for “TSV to SQL Server” conversion.
FAQ
More about Withdata FileToDB – TSV to SQL Server 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
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
New to the format? Read what a TSV file is (and how it differs from CSV).