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.
- 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 file(s) to online services.
- Support Windows, Linux, and macOS.
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:
- Import CSV to SQL Server in Windows command line.
- Import CSV to SQL Server in Linux command line.
- Import CSV to SQL Server in macOS command line.
Set scheduled tasks for importing CSV to SQL Server
You can schedule and automate this “CSV to SQL Server” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to SQL Server” conversion.
- Set scheduled task for “CSV to SQL Server” conversion.
FAQ
What is Withdata FileToDB?
How long does it take to import CSV data to SQL Server?
Is it safe to import CSV data to SQL Server using FileToDB?
Can I import CSV data to SQL Server on Linux, Mac OS?
Can I import CSV data to SQL Server in command line?
More about Withdata FileToDB – CSV 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
See Video: Import data from CSV file into SQL Server table in a few clicks
See also:
- SQL Server import multiple CSV files into a single table
- Bulk import CSV files into SQL Server tables
CSV → SQL Server reference
Type mapping
| Value kind | in CSV | in SQL Server |
|---|---|---|
| Int | 1234 | int |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | decimal(p,s) |
| Float | 1.234e+10 | float |
| Text | quoted only when it contains a comma or a quote | nvarchar(n) |
| Long text | must be quoted; line breaks inside force multi-line records | nvarchar(max) |
| Date | 2026-09-18 | date |
| Datetime | 2026-09-18 14:30:00 | datetime2 |
| Binary | not representable - base64 or hex string | varbinary(max) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | bit |
| JSON | the whole JSON value quoted, with internal quotes doubled | nvarchar(max) |
Dialect differences
CSV is a file format and SQL Server is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in CSV | in SQL Server |
|---|---|---|
| port | — | 1433 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | [square brackets] |
| row limit | — | SELECT TOP n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | datetime, datetime2, date, time |
| long text | — | nvarchar(max) |
| binary | Not supported | varbinary(max) |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
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.