Want to import data from JSON file to Redshift?
Try Withdata FileToDB, a desktop to Redshift converter for Windows, MacOS, and Linux, Convert to Redshift, 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 file(s) to online services.
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Import data from JSON file to Redshift in 4 steps
Login to Redshift -> Choose JSON file -> Set Redshift table -> Import JSON to Redshift
Choose Redshift and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
Step #1. Open a JSON file.
Step #2. Choose a Redshift table and config fields.
Step #3. Preview data.
Step #4. Import JSON to Redshift.
Import JSON to Redshift in command line
Save session, and then create .bat file for Windows command line, or .sh file for Linux / macOS.
Set scheduled tasks for importing JSON to Redshift
You can schedule and automate this “JSON to Redshift” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for ” to Redshift” conversion.
- Set scheduled task for ” to Redshift” conversion.
More about Withdata FileToDB – JSON to Redshift 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 → Redshift reference
Type mapping
| Value kind | in JSON | in Redshift |
|---|---|---|
| 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) | varchar(max) |
| Date | "2026-09-18" (string) | date |
| Datetime | "2026-09-18T14:30:00Z" (string) | timestamp |
| Binary | "base64:..." (string) | (none) |
| Boolean | true / false (boolean) | boolean |
| JSON | nested object or array, kept as structure | super |
Dialect differences
JSON is a file format and Redshift 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 | in Redshift |
|---|---|---|
| port | — | 5439 |
| 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, date |
| long text | — | VARCHAR(MAX) |
| 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 | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- JSON values of kind Binary have nowhere to go in Redshift.
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