Want to batch copy data from FoxBase tables to Azure?
Try Withdata DBCopier, a FoxBase to Azure converter for Windows, Mac, and Linux, Bulk copy FoxBase 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.
Batch copy data from FoxBase tables to Azure tables
Login to FoxBase and Azure -> Select source FoxBase tables -> Set target Azure tables -> Copy FoxBase data to Azure
Choose source FoxBase database and logon.

Choose target Azure database and logon.

Click “Convert All Tables” at task dialog.

then show the wizard.
1. Select source FoxBase tables.

2. List target Azure tables.

3. Select Azure tables to import.

4. Transfer data from FoxBase tables to Azure.

More about FoxBase to Azure converter
See also:
- Copy FoxBase table data to Azure
- Copy FoxBase query results to Azure table
- Merge multiple similar FoxBase tables to 1 Azure table
FoxBase → Azure SQL reference
Type mapping
| Value kind | in FoxBase | 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 FoxBase and Azure SQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in FoxBase | 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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