Want to migrate from Visual FoxPro to Redshift?
Try Withdata DBCopier, a Visual FoxPro to Redshift converter for Windows, Mac, and Linux, Migrate Visual FoxPro to Redshift, Easy and Fast.
- Step by Step, just a few mouse clicks.
- Create Redshift tables with auto mapping data types. Create Redshift indexes.
Migrate from Visual FoxPro to Redshift
Login to Visual FoxPro -> Login to Redshift -> Select tables to migrate -> Migrate from Visual FoxPro to Redshift
Choose source Visual FoxPro database and logon.

Choose target Redshift database and logon.

Click “Wizard – Import All Tables” at task dialog.

then show the wizard.
1. Open source Visual FoxPro.

2. Set “Import Type”.

3. Select Redshift tables to migrate.

4. Migrate from Visual FoxPro to Redshift.
Create Redshift tables. Copy Visual FoxPro data to Redshift. Create Redshift indexes.

FAQ
More about Visual FoxPro to Redshift converter
See also:
Visual FoxPro → Redshift reference
Type mapping
| Value kind | in Visual FoxPro | 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 | DateTime | timestamp |
| Binary | General | (none) |
| Boolean | Logical | boolean |
| JSON | (none) | super |
Dialect differences
Both Visual FoxPro and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in Visual FoxPro | in Redshift |
|---|---|---|
| port | (file-based) | 5439 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D), DateTime (T) | timestamp, date |
| long text | Memo (M) | VARCHAR(MAX) |
| binary | General (G) | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Visual FoxPro values of kind Binary have nowhere to go in Redshift.
- Redshift has no equivalent for JSON – it has to be flattened or dropped.
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