Want to transfer data from DBF query results to Azure table?
Try Withdata DBCopier, a DBF to Azure converter for Windows, Mac, and Linux, Copy DBF query 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 DBF query To Azure table
Login to DBF and Azure -> Enter source DBF query -> Set target Azure table -> Copy DBF query data to Azure table
Choose source DBF database and logon.

Choose target Azure database and logon.

Click “Convert From Query” at task dialog.

then show the wizard.
1. Set a DBF query.

2. Select a destination Azure table and config fields.

3. Preview data.

4. Transfer data from DBF query result to Azure table.

More about DBF to Azure converter
See also:
- Copy DBF table data to Azure
- Merge multiple similar DBF tables to 1 Azure table
- Batch copy DBF tables to Azure
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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