Want to batch copy data from HiperSix tables to Redshift?
Try Withdata DBCopier, a HiperSix to Redshift converter for Windows, Mac, and Linux, Bulk copy HiperSix to Redshift, 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.
Batch copy data from HiperSix tables to Redshift tables
Login to HiperSix and Redshift -> Select source HiperSix tables -> Set target Redshift tables -> Copy HiperSix data to Redshift
Choose source HiperSix database and logon.
Choose target Redshift database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source HiperSix tables.
2. List target Redshift tables.
3. Select Redshift tables to import.
4. Transfer data from HiperSix tables to Redshift.
More about HiperSix to Redshift converter
Download Withdata DBCopier
See also:
- Copy HiperSix table data to Redshift
- Copy HiperSix query results to Redshift table
- Merge multiple similar HiperSix tables to 1 Redshift table
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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