Want to batch export data from Redshift tables to JSON files?
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.
Download Withdata DBToFile
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
Batch export data from Redshift tables to JSON files
Login to Redshift -> Select Redshift tables -> Set JSON file options -> Export Redshift tables to JSON
Choose Redshift and logon.
Click “Export All Tables” at task dialog.
Select JSON file type.
1. Select Redshift tables to export.
2. Set JSON options.
3. See Redshift tables to be exported.
4. Set rows options.
5. Export Redshift data to JSON files.
After exporting, you can view output JSON files.
More about Redshift to JSON converter
Download Withdata DBToFile
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
See also:
- Export Redshift table to JSON
- Export Redshift query results to JSON
- Export multiple similar Redshift tables to one JSON file
Redshift → JSON reference
Type mapping
| Value kind | in Redshift | in JSON |
|---|---|---|
| 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 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 |
|---|---|---|
| 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 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.