Want to import multiple CSV files into a single Redshift table?
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 files to online services.
- Support Windows, Linux, and macOS.
Import multiple CSV files into a single Redshift table
Login to Redshift -> Choose CSV files -> Set Redshift table -> Import CSV files to Redshift table
Choose Redshift and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Select a folder that constains CSV files.
Support large ( > 4GB ) CSV files.
2. Config first CSV file importing options.
3. Select a Redshift table and config fields.
4. Preview data will be in Redshift table.
5. Import multiple CSV files to the Redshift table.
View imported data in Redshift table
Import multiple CSV files to Redshift in command line
Save “multiple CSV files to Redshift” session, then you can:
- Import multiple CSV files to Redshift in Windows command line.
- Import multiple CSV files to Redshift in Linux command line.
- Import multiple CSV files to Redshift in macOS command line.
Set scheduled tasks for importing multiple CSV files 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
Download Withdata FileToDB
See also:
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.
