Want to batch copy data from dBase tables to Redshift?
Try Withdata DBCopier, a dBase to Redshift converter for Windows, Mac, and Linux, Bulk copy dBase 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.
Batch copy data from dBase tables to Redshift tables
Login to dBase and Redshift -> Select source dBase tables -> Set target Redshift tables -> Copy dBase data to Redshift
Choose source dBase database and logon.
Choose target Redshift database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source dBase tables.
2. List target Redshift tables.
3. Select Redshift tables to import.
4. Transfer data from dBase tables to Redshift.
More about dBase to Redshift converter
Download Withdata DBCopier
See also:
- Copy dBase table data to Redshift
- Copy dBase query results to Redshift table
- Merge multiple similar dBase tables to 1 Redshift table
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
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.
