Want to migrate from Redshift to DBF?
Try Withdata DBCopier, a Redshift to DBF converter for Windows, Mac, and Linux, Migrate Redshift to DBF, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create DBF tables with auto mapping data types. Create DBF 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 Redshift to DBF
Login to Redshift -> Login to DBF -> Select tables to migrate -> Migrate from Redshift to DBF
Choose source Redshift database and logon.
Choose / create target DBF database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source Redshift.
2. Set “Import Type”.
3. Select DBF tables to migrate.
4. Migrate from Redshift to DBF.
Create DBF tables. Copy Redshift data to DBF. Create DBF indexes.
FAQ
More about Redshift to DBF 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:
Redshift → DBF reference
Type mapping
| Value kind | in Redshift | in DBF |
|---|---|---|
| Int | integer | Numeric(10,0) |
| Bigint | bigint | Numeric(19,0) |
| Decimal | numeric(p,s) | Numeric(p,s) |
| Float | double precision | Float |
| Text | varchar(n) | Character(n) |
| Long text | varchar(max) | Memo |
| Date | date | Date |
| Datetime | timestamp | (none) |
| Boolean | boolean | Logical |
| JSON | super | (none) |
Dialect differences
Both Redshift and DBF are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Redshift | in DBF |
|---|---|---|
| port | 5439 | (file-based) |
| identifiers | "double quotes" | — |
| row limit | LIMIT n | (driver dependent) |
| dates | timestamp, date | Date (D) |
| long text | VARCHAR(MAX) | Memo (M) |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Redshift values of kind Date and time have nowhere to go in DBF.
- Redshift values of kind JSON have nowhere to go in DBF.
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