Want to convert data from Clipper to Redshift?
Try Withdata DBCopier, a Clipper to Redshift converter for Windows, Mac, and Linux, Convert Clipper 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.
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
Convert data from Clipper to Redshift
Login to Clipper and Redshift -> Select source Clipper tables -> Set target Redshift tables -> Convert Clipper to Redshift
Choose source Clipper database and logon.
Choose target Redshift database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Clipper.
2. List target Redshift tables.
3. Select Redshift tables to import.
4. Convert data from Clipper to Redshift.
More about Clipper 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:
Clipper → Redshift reference
Type mapping
| Value kind | in Clipper | 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 Clipper and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Clipper | 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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