Want to migrate from HiperSix to Redshift?
Try Withdata DBCopier, a HiperSix to Redshift converter for Windows, Mac, and Linux, Migrate HiperSix to Redshift, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create Redshift tables with auto mapping data types. Create Redshift indexes.
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Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Migrate from HiperSix to Redshift
Login to HiperSix -> Login to Redshift -> Select tables to migrate -> Migrate from HiperSix to Redshift
Choose source HiperSix database and logon.
Choose target Redshift 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 Redshift tables to migrate.
4. Migrate from HiperSix to Redshift.
Create Redshift tables. Copy HiperSix data to Redshift. Create Redshift indexes.
FAQ
More about HiperSix to Redshift converter
Download Withdata DBCopier
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
See also:
HiperSix → Redshift reference
Type mapping
| Value kind | in HiperSix | in Redshift |
|---|---|---|
| Int | Numeric(10,0) | integer |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | numeric(p,s) |
| Float | Float | double precision |
| Text | Character(n) | varchar(n) |
| Long text | Memo | varchar(max) |
| Date | Date | date |
| Datetime | (none) | timestamp |
| Boolean | Logical | boolean |
| JSON | (none) | super |
Dialect differences
Both HiperSix and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in HiperSix | in Redshift |
|---|---|---|
| port | (file-based) | 5439 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | timestamp, date |
| long text | Memo (M) | VARCHAR(MAX) |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Redshift has no equivalent for Date and time - it has to be flattened or dropped.
- Redshift has no equivalent for JSON - it has to be flattened or dropped.
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