Want to transfer data from multiple similar Azure tables to 1 DBF table?
Try Withdata DBCopier, a Azure to DBF converter for Windows, Mac, and Linux, Copy Azure data to DBF, 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.
Transfer data from multiple similar Azure tables to a single DBF table
Login to Azure and DBF -> Select source Azure tables -> Set the target DBF table -> Copy Azure data to DBF
Choose source Azure database and logon.
Choose target DBF database and logon.
Click “Convert Similar Tables” at task dialog.
then show the wizard.
1. Select similar Azure tables.
2. Select a destination DBF table and config fields.
3. Preview data.
4. Import data from multiple similar Azure tables to a single DBF table.
More about Azure to DBF converter
Download Withdata DBCopier
See also:
Azure SQL → DBF reference
Type mapping
| Value kind | in Azure SQL | in DBF |
|---|---|---|
| Int | int | Numeric(10,0) |
| Bigint | bigint | Numeric(19,0) |
| Decimal | decimal(p,s) | Numeric(p,s) |
| Float | float | Float |
| Text | nvarchar(n) | Character(n) |
| Long text | nvarchar(max) | Memo |
| Date | date | Date |
| Datetime | datetime2 | (none) |
| Binary | varbinary(max) | (none) |
| Boolean | bit | Logical |
| JSON | nvarchar(max) | (none) |
Dialect differences
Both Azure SQL and DBF are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Azure SQL | in DBF |
|---|---|---|
| port | 1433 | (file-based) |
| identifiers | [square brackets] | — |
| row limit | SELECT TOP n | (driver dependent) |
| dates | datetime2, date, time | Date (D) |
| long text | nvarchar(max) | Memo (M) |
| binary | varbinary(max) | — |
Command line
| Side | Command |
|---|---|
| Azure SQL | bcp |
| Azure SQL (load) | bcp, or BULK INSERT |
No counterpart
- Azure SQL values of kind Date and time have nowhere to go in DBF.
- Azure SQL values of kind Binary have nowhere to go in DBF.
- Azure SQL values of kind JSON have nowhere to go in DBF.
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