Want to convert data from dBase to PostgreSQL ?
Try Withdata DBCopier, a dBase to PostgreSQL converter for Windows, Mac, and Linux, Convert dBase to PostgreSQL, 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.
Convert data from dBase to PostgreSQL
Login to dBase and PostgreSQL -> Select source dBase tables -> Set target PostgreSQL tables -> Convert dBase to PostgreSQL
Choose source dBase database and logon.
Choose target PostgreSQL database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Open source dBase.
2. List target PostgreSQL tables.
3. Select PostgreSQL tables to import.
4. Convert data from dBase to PostgreSQL.
More about dBase to PostgreSQL converter
Download Withdata DBCopier
See also:
dBase → PostgreSQL reference
Type mapping
| Value kind | in dBase | in PostgreSQL |
|---|---|---|
| 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 | text |
| Date | Date | date |
| Datetime | (none) | timestamp |
| Binary | (none) | bytea |
| Boolean | Logical | boolean |
| JSON | (none) | jsonb |
Dialect differences
Both dBase and PostgreSQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | in PostgreSQL |
|---|---|---|
| port | (file-based) | 5432 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | timestamp, timestamptz, date, time |
| long text | Memo (M) | TEXT |
| binary | — | BYTEA |
Command line
| Side | Command |
|---|---|
| PostgreSQL | pg_dump or COPY ... TO |
| PostgreSQL (load) | COPY ... FROM |
No counterpart
- PostgreSQL has no equivalent for Date and time – it has to be flattened or dropped.
- PostgreSQL has no equivalent for Binary – it has to be flattened or dropped.
- PostgreSQL has no equivalent for JSON – it has to be flattened or dropped.
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