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