Want to import multiple JSON files into a single Redshift table?
Try Withdata FileToDB, a desktop JSON to Redshift converter for Windows, MacOS, and Linux, Import JSON 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 JSON file(s) to online services.
- Support Windows, Linux, and macOS.
Import multiple JSON files into a single Redshift table
Login to Redshift -> Choose JSON files -> Set Redshift table -> Import JSON files to Redshift table
Choose Redshift and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a Redshift table and config fields.
4. Preview data will be in Redshift table.
5. Import multiple JSON files to the Redshift table.
View imported data in Redshift table
Convert JSON files to Redshift in command line
Save “JSON to Redshift” session, then you can:
- Import multiple JSON to a single Redshift table in Windows command line.
- Import multiple JSON to a single Redshift table in Linux command line.
- Import multiple JSON to a single Redshift table in macOS command line.
Set scheduled tasks for converting JSON files 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 “JSON to Redshift” conversion.
- Set scheduled task for “JSON to Redshift” conversion.
FAQ
More about Withdata FileToDB – JSON to Redshift converter
Download Withdata FileToDB
See also:
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.
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.
