Want to import data from JSON array to dBase?
Try Withdata FileToDB, a desktop JSON array to dBase converter for Windows, MacOS, and Linux, Import JSON array to dBase, 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.
- Convert locally and privately, avoid uploading large or private JSON file(s) to online services.
Import data from JSON array to dBase
Login to dBase -> Choose JSON array file -> Set dBase table -> Import JSON array to dBase
Choose dBase and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Open a JSON array file.
Support large ( > 4GB ) JSON array file.
Here is the file’s content.
FileToDB will parse JSON array.
2. Select a dBase table and config fields.
3. Preview data will be in dBase table.
4. Import JSON array data to dBase.
View imported data in dBase table
Convert JSON array to dBase in command line
Save “JSON array to dBase” session, then you can:
- Import JSON array to dBase in Windows command line.
- Import JSON array to dBase in Linux command line.
- Import JSON array to dBase in macOS command line.
Set scheduled tasks for converting JSON array to dBase
You can schedule and automate this “JSON array to dBase” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to dBase” conversion.
- Set scheduled task for “JSON array to dBase” conversion.
FAQ
More about Withdata FileToDB – JSON Array to dBase converter
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JSON Array → dBase reference
Type mapping
| Value kind | in JSON Array | in dBase |
|---|---|---|
| Int | 1234 (number) | Numeric(10,0) |
| Bigint | 9007199254740993 | Numeric(19,0) |
| Decimal | 1234.56 (number) | Numeric(p,s) |
| Float | 1.234e10 (number) | Float |
| Text | "text" (string) | Character(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | Memo |
| Date | "2026-09-18" (string) | Date |
| Datetime | "2026-09-18T14:30:00Z" (string) | (none) |
| Binary | "base64:..." (string) | (none) |
| Boolean | true / false (boolean) | Logical |
| JSON | nested object or array, kept as structure | (none) |
Dialect differences
JSON Array is a file format and dBase is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in JSON Array | in dBase |
|---|---|---|
| port | — | (file-based) |
| identifiers | Double quotes; backslash escapes | — |
| row limit | — | (driver dependent) |
| dates | No date type: dates arrive as strings and the reader must p... | Date (D) |
| long text | — | Memo (M) |
| binary | Not supported natively - base64 inside a string | — |
| separator | Braces and commas | — |
| encoding | UTF-8 by definition | — |
| typing | string, number, boolean, null, object, array - no date type | — |
| shape | Nested objects and arrays | Tables of rows and columns |
| ceiling | Whole document is usually parsed into memory | — |
No counterpart
- JSON Array values of kind Date and time have nowhere to go in dBase.
- JSON Array values of kind Binary have nowhere to go in dBase.
- JSON Array values of kind JSON have nowhere to go in dBase.
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