Want to import data from JSON array to Redshift?
Try Withdata FileToDB, a desktop JSON array to Redshift converter for Windows, MacOS, and Linux, Import JSON array 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.
Import data from JSON array to Redshift
Login to Redshift -> Choose JSON array file -> Set Redshift table -> Import JSON array 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.
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 Redshift table and config fields.
3. Preview data will be in Redshift table.
4. Import JSON array data to Redshift.
View imported data in Redshift table
Convert JSON array to Redshift in command line
Save “JSON array to Redshift” session, then you can:
- Import JSON array to Redshift in Windows command line.
- Import JSON array to Redshift in Linux command line.
- Import JSON array to Redshift in macOS command line.
Set scheduled tasks for converting JSON array to Redshift
You can schedule and automate this “JSON array to Redshift” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to Redshift” conversion.
- Set scheduled task for “JSON array to Redshift” conversion.
FAQ
More about Withdata FileToDB – JSON Array to Redshift converter
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JSON Array → Redshift reference
Type mapping
| Value kind | in JSON Array | 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 Array 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 Array | 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 Array values of kind Binary have nowhere to go in Redshift.
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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.
