Want to convert data from DBF to SQL Server ?
Try Withdata DBCopier, a DBF to SQL Server converter for Windows, Mac, and Linux, Convert DBF 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 DBF to SQL Server
Login to DBF and SQL Server -> Select source DBF tables -> Set target SQL Server tables -> Convert DBF to SQL Server
Choose source DBF 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 DBF.
2. List target SQL Server tables.
3. Select SQL Server tables to import.
4. Convert data from DBF to SQL Server.
More about DBF to SQL Server converter
Download Withdata DBCopier
See also:
DBF → SQL Server reference
Type mapping
| Value kind | in DBF | 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 | (none) | datetime2 |
| Binary | (none) | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both DBF and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | in SQL Server |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | datetime, datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | — | varbinary(max) |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
No counterpart
- SQL Server has no equivalent for Date and time – it has to be flattened or dropped.
- SQL Server has no equivalent for Binary – it has to be flattened or dropped.
- SQL Server has no equivalent for JSON – it has to be flattened or dropped.
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