Want to schedule and automate from HiperSix to Azure copy data task?
Try Withdata DB Copier, a desktop tool, you can scheduled HiperSix to Azure copy data task easily, just a few mouse clicks!
Let computer automate repetitive HiperSix to Azure transfer data busy work, DB Copier make our life easier!
Here you can download and install DB Copier.
Schedule and automate HiperSix to Azure data task
1. Select and run a task from follow list:
- Merge multiple similar HiperSix tables to 1 Azure table
- Batch copy HiperSix tables to Azure
- Copy HiperSix query results to Azure table
- Copy HiperSix table data to Azure
- Migrate HiperSix to Azure
- Sync data from HiperSix to Azure
- Convert HiperSix To Azure
2. Save session and create .bat file.
More about Withdata DBCopier – the tool to copy HiperSix data to Azure
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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