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