Want to migrate from dBase to SQL Server ?
Try Withdata DBCopier, a dBase to SQL Server converter for Windows, Mac, and Linux, Migrate dBase to SQL Server, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create SQL Server tables with auto mapping data types. Create SQL Server indexes.
Migrate from dBase to SQL Server
Login to dBase -> Login to SQL Server -> Select tables to migrate -> Migrate from dBase to SQL Server
Choose source dBase 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 dBase.
2. Set “Import Type”.
3. Select SQL Server tables to migrate.
4. Migrate from dBase to SQL Server.
Create SQL Server tables. Copy dBase data to SQL Server. Create SQL Server indexes.
FAQ
More about dBase to SQL Server converter
Download Withdata DBCopier
See also:
dBase → SQL Server reference
Type mapping
| Value kind | in dBase | 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 dBase and SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | 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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