Want to import data from JSON array to PostgreSQL ?
Try Withdata FileToDB, a desktop JSON array to PostgreSQL converter for Windows, MacOS, and Linux, Import JSON array 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.
- 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 PostgreSQL
Login to PostgreSQL -> Choose JSON array file -> Set PostgreSQL table -> Import JSON array to PostgreSQL
Choose PostgreSQL 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 PostgreSQL table and config fields.
3. Preview data will be in PostgreSQL table.
4. Import JSON array data to PostgreSQL.
View imported data in PostgreSQL table
Convert JSON array to PostgreSQL in command line
Save “JSON array to PostgreSQL” session, then you can:
- Import JSON array to PostgreSQL in Windows command line.
- Import JSON array to PostgreSQL in Linux command line.
- Import JSON array to PostgreSQL in macOS command line.
Set scheduled tasks for converting JSON array to PostgreSQL
You can schedule and automate this “JSON array to PostgreSQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to PostgreSQL” conversion.
- Set scheduled task for “JSON array to PostgreSQL” conversion.
FAQ
More about Withdata FileToDB – JSON Array to PostgreSQL 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 → PostgreSQL reference
Type mapping
| Value kind | in JSON Array | in PostgreSQL |
|---|---|---|
| Int | 1234 (number) | integer |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 (number) | numeric(p,s) |
| Float | 1.234e10 (number) | double precision |
| Text | "text" (string) | varchar(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | text |
| Date | "2026-09-18" (string) | date |
| Datetime | "2026-09-18T14:30:00Z" (string) | timestamp |
| Binary | "base64:..." (string) | bytea |
| Boolean | true / false (boolean) | boolean |
| JSON | nested object or array, kept as structure | jsonb |
Dialect differences
JSON Array is a file format and PostgreSQL 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 PostgreSQL |
|---|---|---|
| port | — | 5432 |
| identifiers | Double quotes; backslash escapes | "double quotes" |
| row limit | — | LIMIT n |
| dates | No date type: dates arrive as strings and the reader must p... | timestamp, timestamptz, date, time |
| long text | — | TEXT |
| binary | Not supported natively - base64 inside a string | BYTEA |
| 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 |
|---|---|
| PostgreSQL | pg_dump or COPY ... TO |
| PostgreSQL (load) | COPY ... FROM |
JSON to PostgreSQL without the manual work
For batch jobs, large files and scheduling use the JSON to PostgreSQL converter — an offline desktop app for Windows, Linux and macOS. Free trial.