Want to import data from JSON array to Oracle ?
Try Withdata FileToDB, a desktop JSON array to Oracle converter for Windows, MacOS, and Linux, Import JSON array to Oracle, 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.
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
Import data from JSON array to Oracle
Login to Oracle -> Choose JSON array file -> Set Oracle table -> Import JSON array to Oracle
Choose Oracle 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 Oracle table and config fields.
3. Preview data will be in Oracle table.
4. Import JSON array data to Oracle.
View imported data in Oracle table
Convert JSON array to Oracle in command line
Save “JSON array to Oracle” session, then you can:
- Import JSON array to Oracle in Windows command line.
- Import JSON array to Oracle in Linux command line.
- Import JSON array to Oracle in macOS command line.
Set scheduled tasks for converting JSON array to Oracle
You can schedule and automate this “JSON array to Oracle” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to Oracle” conversion.
- Set scheduled task for “JSON array to Oracle” conversion.
FAQ
More about Withdata FileToDB – JSON Array to Oracle converter
Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit
JSON Array → Oracle reference
Type mapping
| Value kind | in JSON Array | in Oracle |
|---|---|---|
| Int | 1234 (number) | NUMBER(10) |
| Bigint | 9007199254740993 | NUMBER(19) |
| Decimal | 1234.56 (number) | NUMBER(p,s) |
| Float | 1.234e10 (number) | BINARY_DOUBLE |
| Text | "text" (string) | VARCHAR2(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | CLOB |
| Date | "2026-09-18" (string) | DATE |
| Datetime | "2026-09-18T14:30:00Z" (string) | TIMESTAMP |
| Binary | "base64:..." (string) | BLOB |
| Boolean | true / false (boolean) | NUMBER(1) |
| JSON | nested object or array, kept as structure | CLOB |
Dialect differences
JSON Array is a file format and Oracle 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 Oracle |
|---|---|---|
| port | — | 1521 |
| identifiers | Double quotes; backslash escapes | "double quotes" |
| row limit | — | FETCH FIRST n ROWS ONLY |
| dates | No date type: dates arrive as strings and the reader must p... | DATE, TIMESTAMP |
| long text | — | CLOB, NCLOB |
| binary | Not supported natively - base64 inside a string | BLOB, BFILE |
| 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 | — |
Command line
| Side | Command |
|---|---|
| Oracle | exp / expdp |
| Oracle (load) | sqlldr (SQL*Loader) |
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.