Copy DBF table data to Azure

Want to transfer data from DBF table to Azure?

Try Withdata DBCopier, a DBF to Azure converter for Windows, Mac, and Linux, Copy DBF data to Azure, Easy and Fast.

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Transfer data from DBF table To Azure table

Login to DBF and Azure -> Choose source DBF table -> Set target Azure table -> Copy DBF data to Azure

Choose source DBF database and logon.

convert DBF data to Azure data - Choose DBF and logon

Choose target Azure database and logon.

convert DBF data to Azure data - Choose Azure and logon

Click “Convert From Table” at task dialog.

Import data from DBF table to Azure table - Task Window

then show the wizard.

1. Open a source DBF table.

Convert data from DBF table to Azure table - Open Source

2. Select a destination Azure table and config fields.

Extract DBF table data to Azure table - select table

3. Preview data.

Migrage data from DBF table to Azure table - preview

4. Import DBF data to Azure.

Import data from DBF table to Azure table - import


More about DBF to Azure converter

See also:

DBF → Azure SQL reference

Type mapping

Value kindin DBFin Azure SQL
IntNumeric(10,0)int
BigintNumeric(19,0)bigint
DecimalNumeric(p,s)decimal(p,s)
FloatFloatfloat
TextCharacter(n)nvarchar(n)
Long textMemonvarchar(max)
DateDatedate
Datetime(none)datetime2
Binary(none)varbinary(max)
BooleanLogicalbit
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.

Propertyin DBFin Azure SQL
port(file-based)1433
identifiers—[square brackets]
row limit(driver dependent)SELECT TOP n
datesDate (D)datetime2, date, time
long textMemo (M)nvarchar(max)
binary—varbinary(max)

Command line

SideCommand
Azure SQLbcp
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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