Want to import data from JSON array to FoxBase?
Try Withdata FileToDB, a desktop JSON array to FoxBase converter for Windows, MacOS, and Linux, Import JSON array to FoxBase, 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 FoxBase
Login to FoxBase -> Choose JSON array file -> Set FoxBase table -> Import JSON array to FoxBase
Choose FoxBase 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 FoxBase table and config fields.
3. Preview data will be in FoxBase table.
4. Import JSON array data to FoxBase.
View imported data in FoxBase table
Convert JSON array to FoxBase in command line
Save “JSON array to FoxBase” session, then you can:
- Import JSON array to FoxBase in Windows command line.
- Import JSON array to FoxBase in Linux command line.
- Import JSON array to FoxBase in macOS command line.
Set scheduled tasks for converting JSON array to FoxBase
You can schedule and automate this “JSON array to FoxBase” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to FoxBase” conversion.
- Set scheduled task for “JSON array to FoxBase” conversion.
FAQ
More about Withdata FileToDB – JSON Array to FoxBase converter
Download Withdata FileToDB
JSON Array → FoxBase reference
Type mapping
| Value kind | in JSON Array | in FoxBase |
|---|---|---|
| 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 FoxBase 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 FoxBase |
|---|---|---|
| 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 FoxBase.
- JSON Array values of kind Binary have nowhere to go in FoxBase.
- JSON Array values of kind JSON have nowhere to go in FoxBase.
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