Want to batch copy data from dBase tables to Access ?
Try Withdata DBCopier, a dBase to Access converter for Windows, Mac, and Linux, Bulk copy dBase to Access, 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 dBase tables to Access tables
Login to dBase and Access -> Select source dBase tables -> Set target Access tables -> Copy dBase data to Access
Choose source dBase database and logon.
Choose target Access database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source dBase tables.
2. List target Access tables.
3. Select Access tables to import.
4. Transfer data from dBase tables to Access.
More about dBase to Access converter
Download Withdata DBCopier
See also:
- Copy dBase table data to Access
- Copy dBase query results to Access table
- Merge multiple similar dBase tables to 1 Access table
dBase → Access reference
Type mapping
| Value kind | in dBase | in Access |
|---|---|---|
| Int | Numeric(10,0) | Long Integer |
| Bigint | Numeric(19,0) | Long Integer |
| Decimal | Numeric(p,s) | Decimal |
| Float | Float | Double |
| Text | Character(n) | Text(n) |
| Long text | Memo | Long Text |
| Date | Date | Date/Time |
| Datetime | (none) | Date/Time |
| Binary | (none) | OLE Object |
| Boolean | Logical | Yes/No |
| JSON | (none) | Long Text |
Dialect differences
Both dBase and Access are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | in Access |
|---|---|---|
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | Date/Time |
| long text | Memo (M) | MEMO |
| binary | — | OLE Object |
No counterpart
- Access has no equivalent for Date and time – it has to be flattened or dropped.
- Access has no equivalent for Binary – it has to be flattened or dropped.
- Access has no equivalent for JSON – it has to be flattened or dropped.
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