Want to transfer data from multiple similar dBase tables to 1 Redshift table?
Try Withdata DBCopier, a dBase to Redshift converter for Windows, Mac, and Linux, Copy dBase data 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 multiple similar dBase tables to a single Redshift table
Login to dBase and Redshift -> Select source dBase tables -> Set the target Redshift table -> Copy dBase data to Redshift
Choose source dBase database and logon.

Choose target Redshift database and logon.

Click “Convert Similar Tables” at task dialog.

then show the wizard.
1. Select similar dBase tables.

2. Select a destination Redshift table and config fields.

3. Preview data.

4. Import data from multiple similar dBase tables to a single Redshift table.

More about dBase to Redshift converter
See also:
- Copy dBase table data to Redshift
- Copy dBase query results to 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.
Convert your data online, free
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