Want to transfer data from dBase query results to Redshift table?
Try Withdata DBCopier, a dBase to Redshift converter for Windows, Mac, and Linux, Copy dBase query 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 dBase query To Redshift table
Login to dBase and Redshift -> Enter source dBase query -> Set target Redshift table -> Copy dBase query data to Redshift table
Choose source dBase database and logon.

Choose target Redshift database and logon.

Click “Convert From Query” at task dialog.

then show the wizard.
1. Set a dBase query.

2. Select a destination Redshift table and config fields.

3. Preview data.

4. Transfer data from dBase query result to Redshift table.

More about dBase to Redshift converter
See also:
- Copy dBase table data to Redshift
- Merge multiple similar dBase tables to 1 Redshift table
- Batch copy dBase tables to Redshift
dBase → Redshift reference
Type mapping
| Value kind | in dBase | 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 dBase and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | 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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