Want to batch copy data from DBF tables to SQL Server ?
Try Withdata DBCopier, a DBF to SQL Server converter for Windows, Mac, and Linux, Bulk copy 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.
Batch copy data from DBF tables to SQL Server tables
Login to DBF and SQL Server -> Select source DBF tables -> Set target SQL Server tables -> Copy DBF data to SQL Server
Choose source DBF database and logon.
Choose target SQL Server database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source DBF tables.
2. List target SQL Server tables.
3. Select SQL Server tables to import.
4. Transfer data from DBF tables to SQL Server.
More about DBF to SQL Server converter
Download Withdata DBCopier
See also:
- Copy DBF table data to SQL Server
- Copy DBF query results to SQL Server table
- Merge multiple similar DBF tables to 1 SQL Server table
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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