Want to parse JSON from open RESTful API and save to Redshift database?
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.
Import JSON from open RESTful API to Redshift database
Choose Redshift and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select “Source File From” with “Url”.
1. Input the RESTful API URL, and download to JSON file.
2. Open the saved JSON file.
3. Config target Redshift database.
You can create new Redshift table by JSON struct, just a few mouse clicks.
Select table and config fields.
4. Summary.
5. Import RESTful JSON to Redshift.
See importing results in Redshift table
Import API JSON_API to Redshift in command line
Save “JSON_API to Redshift” session, then you can:
- Import API JSON_API to Redshift in Windows command line.
- Import API JSON_API to Redshift in Linux command line.
- Import API JSON_API to Redshift in macOS command line.
Set scheduled tasks for importing API JSON_API to Redshift
You can schedule and automate this importing 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.
More about FileToDB – JSON to Redshift converter
Download FileToDB
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.
