Want to import data from CSV file to Redshift?
Try Withdata FileToDB, a desktop CSV to Redshift converter for Windows, MacOS, and Linux, Convert CSV 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 CSV file(s) to online services.
Import data from CSV file to Redshift in 4 steps
Choose CSV file -> Set Redshift table -> Preview -> Import
Choose Redshift and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
Step #1. Choose a CSV file.
Step #2. Choose a Redshift table and config fields.
Step #3. Preview data and config “Convert Rows”.
Step #4. Import CSV to Redshift.
Import CSV to Redshift in command line
Save “CSV to Redshift” session, then you can:
- Import CSV to Redshift in Windows command line.
- Import CSV to Redshift in Linux command line.
- Import CSV to Redshift in macOS command line.
Set scheduled tasks for importing CSV to Redshift
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Redshift” conversion.
- Set scheduled task for “CSV to Redshift” conversion.
FAQ
More about Withdata FileToDB – CSV to Redshift converter
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CSV → Redshift reference
Type mapping
| Value kind | in CSV | in Redshift |
|---|---|---|
| Int | 1234 | integer |
| Bigint | 9007199254740993 | bigint |
| Decimal | 1234.56 | numeric(p,s) |
| Float | 1.234e+10 | double precision |
| Text | quoted only when it contains a comma or a quote | varchar(n) |
| Long text | must be quoted; line breaks inside force multi-line records | varchar(max) |
| Date | 2026-09-18 | date |
| Datetime | 2026-09-18 14:30:00 | timestamp |
| Binary | not representable - base64 or hex string | (none) |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | boolean |
| JSON | the whole JSON value quoted, with internal quotes doubled | super |
Dialect differences
CSV 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 CSV | in Redshift |
|---|---|---|
| port | — | 5439 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | "double quotes" |
| row limit | — | LIMIT n |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | timestamp, date |
| long text | — | VARCHAR(MAX) |
| binary | Not supported | — |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- CSV 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.
