Want to transfer data from HiperSix table to Redshift?
Try Withdata DBCopier, a HiperSix to Redshift converter for Windows, Mac, and Linux, Copy HiperSix data 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.
Transfer data from HiperSix table To Redshift table
Login to HiperSix and Redshift -> Choose source HiperSix table -> Set target Redshift table -> Copy HiperSix data to Redshift
Choose source HiperSix database and logon.
Choose target Redshift database and logon.
Click “Convert From Table” at task dialog.
then show the wizard.
1. Open a source HiperSix table.
2. Select a destination Redshift table and config fields.
3. Preview data.
4. Import HiperSix data to Redshift.
More about HiperSix to Redshift converter
Download Withdata DBCopier
See also:
- Copy HiperSix query results to Redshift table
- Merge multiple similar HiperSix tables to 1 Redshift table
- Batch copy HiperSix tables to Redshift
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.
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
