Want to migrate from HiperSix to Azure?
Try Withdata DBCopier, a HiperSix to Azure converter for Windows, Mac, and Linux, Migrate HiperSix to Azure, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create Azure tables with auto mapping data types. Create Azure indexes.
Migrate from HiperSix to Azure
Login to HiperSix -> Login to Azure -> Select tables to migrate -> Migrate from HiperSix to Azure
Choose source HiperSix database and logon.
Choose target Azure database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source HiperSix.
2. Set “Import Type”.
3. Select Azure tables to migrate.
4. Migrate from HiperSix to Azure.
Create Azure tables. Copy HiperSix data to Azure. Create Azure indexes.
FAQ
More about HiperSix to Azure converter
Download Withdata DBCopier
See also:
HiperSix → Azure SQL reference
Type mapping
| Value kind | in HiperSix | 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 HiperSix and Azure SQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in HiperSix | 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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