Want to export data from Redshift table to JSON array?
Try Withdata DBToFile, a Redshift to JSON converter for Windows, Linux, and macOS, Export Redshift data to JSON, 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.
- Support Windows, Linux, and macOS.
Export data from Redshift table to JSON array
Login to Redshift -> Choose Redshift table -> Set JSON array file options -> Export Redshift to JSON array
Choose Redshift and logon.
“Export From Table” for “Redshift to JSON array”.
Select JSON file type.
1. Choose Redshift table.
2. Set JSON array file options.
3. Set rows options.
4. Export Redshift data to JSON array.
After exporting, you can view output JSON array file.
More about Redshift to JSON converter
Download Withdata DBToFile
Redshift → JSON Array reference
Type mapping
| Value kind | in Redshift | in JSON Array |
|---|---|---|
| Int | integer | 1234 (number) |
| Bigint | bigint | 9007199254740993 |
| Decimal | numeric(p,s) | 1234.56 (number) |
| Float | double precision | 1.234e10 (number) |
| Text | varchar(n) | "text" (string) |
| Long text | varchar(max) | "multi-line\ntext" (escaped newline inside a string) |
| Date | date | "2026-09-18" (string) |
| Datetime | timestamp | "2026-09-18T14:30:00Z" (string) |
| Binary | (none) | "base64:..." (string) |
| Boolean | boolean | true / false (boolean) |
| JSON | super | nested object or array, kept as structure |
Dialect differences
Redshift is a database server and JSON Array is a file format, so the gap is wider than a dialect difference – the rows below are where values and structure stop lining up.
| Property | in Redshift | in JSON Array |
|---|---|---|
| port | 5439 | — |
| identifiers | "double quotes" | Double quotes; backslash escapes |
| row limit | LIMIT n | — |
| dates | timestamp, date | No date type: dates arrive as strings and the reader must p... |
| 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 | Tables of rows and columns | Nested objects and arrays |
| 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 has no equivalent for Binary – it has to be flattened or dropped.
Redshift to CSV without the manual work
For batch jobs, large files and scheduling use the Redshift to CSV converter — an offline desktop app for Windows, Linux and macOS. Free trial.
