Want to convert data from Visual FoxPro to SQL Server ?
Try Withdata DBCopier, a Visual FoxPro to SQL Server converter for Windows, Mac, and Linux, Convert Visual FoxPro 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.
- Support Windows, Linux, and macOS.
Convert data from Visual FoxPro to SQL Server
Login to Visual FoxPro and SQL Server -> Select source Visual FoxPro tables -> Set target SQL Server tables -> Convert Visual FoxPro to SQL Server
Choose source Visual FoxPro database and logon.

Choose target SQL Server database and logon.

Click “Wizard – Import All Tables” at task dialog.

then show the wizard.
1. Open source Visual FoxPro.

2. List target SQL Server tables.

3. Select SQL Server tables to import.

4. Convert data from Visual FoxPro to SQL Server.

More about Visual FoxPro to SQL Server converter
See also:
Visual FoxPro → SQL Server reference
Type mapping
| Value kind | in Visual FoxPro | in SQL Server |
|---|---|---|
| Int | Numeric(10,0) | int |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | decimal(p,s) |
| Float | Float | float |
| Text | Character(n) | nvarchar(n) |
| Long text | Memo | nvarchar(max) |
| Date | Date | date |
| Datetime | DateTime | datetime2 |
| Binary | General | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both Visual FoxPro and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in SQL Server |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D), DateTime (T) | datetime, datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | General (G) | varbinary(max) |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
No counterpart
- SQL Server has no equivalent for JSON – it has to be flattened or dropped.
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