Want to transfer data from multiple similar DBF tables to 1 Azure table?
Try Withdata DBCopier, a DBF to Azure converter for Windows, Mac, and Linux, Copy DBF data to Azure, 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 DBF tables to a single Azure table
Login to DBF and Azure -> Select source DBF tables -> Set the target Azure table -> Copy DBF data to Azure
Choose source DBF database and logon.
Choose target Azure database and logon.
Click “Convert Similar Tables” at task dialog.
then show the wizard.
1. Select similar DBF tables.
2. Select a destination Azure table and config fields.
3. Preview data.
4. Import data from multiple similar DBF tables to a single Azure table.
More about DBF to Azure converter
Download Withdata DBCopier
See also:
DBF → Azure SQL reference
Type mapping
| Value kind | in DBF | in Azure SQL |
|---|---|---|
| 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 Azure SQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | in Azure SQL |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | — | varbinary(max) |
Command line
| Side | Command |
|---|---|
| Azure SQL | bcp |
| Azure SQL (load) | bcp, or BULK INSERT |
No counterpart
- Azure SQL has no equivalent for Date and time – it has to be flattened or dropped.
- Azure SQL has no equivalent for Binary – it has to be flattened or dropped.
- Azure SQL has no equivalent for JSON – it has to be flattened or dropped.
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