Want to convert data from HiperSix to SQL Server ?
Try Withdata DBCopier, a HiperSix to SQL Server converter for Windows, Mac, and Linux, Convert HiperSix to SQL Server, 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.
Convert data from HiperSix to SQL Server
Login to HiperSix and SQL Server -> Select source HiperSix tables -> Set target SQL Server tables -> Convert HiperSix to SQL Server
Choose source HiperSix database and logon.

Choose target SQL Server database and logon.

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

then show the wizard.
1. Open source HiperSix.

2. List target SQL Server tables.

3. Select SQL Server tables to import.

4. Convert data from HiperSix to SQL Server.

More about HiperSix to SQL Server converter
See also:
HiperSix → SQL Server reference
Type mapping
| Value kind | in HiperSix | in SQL Server |
|---|---|---|
| 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 SQL Server are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in HiperSix | in SQL Server |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | datetime, datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | — | varbinary(max) |
Command line
| Side | Command |
|---|---|
| SQL Server | bcp |
| SQL Server (load) | bcp, or BULK INSERT |
No counterpart
- SQL Server has no equivalent for Date and time – it has to be flattened or dropped.
- SQL Server has no equivalent for Binary – it has to be flattened or dropped.
- SQL Server has no equivalent for JSON – it has to be flattened or dropped.
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