Convert HiperSix To Azure

Want to convert data from HiperSix to Azure?

Try Withdata DBCopier, a HiperSix to Azure converter for Windows, Mac, and Linux, Convert HiperSix to Azure, Easy and Fast.

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Convert data from HiperSix to Azure

Login to HiperSix and Azure -> Select source HiperSix tables -> Set target Azure tables -> Convert HiperSix to Azure

Choose source HiperSix database and logon.

Convert data from HiperSix to Azure - Choose HiperSix and logon

Choose target Azure database and logon.

Convert data from HiperSix to Azure - Choose Azure and logon

Click “Wizard – Import All Tables” at task dialog.

Convert data from HiperSix to Azure - Task Window

then show the wizard.

1. Open source HiperSix.

Convert data from HiperSix to Azure - Open source database

2. List target Azure tables.

Convert data from HiperSix to Azure - list target tables

3. Select Azure tables to import.

Convert data from HiperSix to Azure - select tables

4. Convert data from HiperSix to Azure.

Convert data from HiperSix to Azure - import


More about HiperSix to Azure converter

See also:

HiperSix → Azure SQL reference

Type mapping

Value kindin HiperSixin 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 HiperSix and Azure SQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.

Propertyin HiperSixin 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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