Want to update data from CSV file to Redshift?
Using File To DB, a native GUI tool for Windows, MacOS, and Linux, you can update data from CSV file to Redshift easily 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 securely, avoid uploading large or private CSV file(s) to online services.
Download FileToDB
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
Update data from CSV file to Redshift
Login to Redshift -> Choose CSV file -> Set Redshift table -> Update CSV to Redshift
Choose Redshift and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “CSV” file type.
then show the wizard.
1. Open a source CSV file.
2. Select a Redshift table and config fields.
Set “Load Type” to “Update”, choice “By Key”.
3. Preview data.
4. Update CSV data to Redshift .
View updateed data
Update CSV data to Redshift in command line
Save session, and then create .bat file for Windows command line, or .sh file for Linux / macOS.
Set scheduled tasks for updating CSV data to Redshift
You can schedule and automate this “CSV to Redshift” conversion task by:
1) Save session and create .bat (Windows) or .sh (Linux/macOS) file.
FAQ
More about FileToDB – CSV to Redshift converter
Download FileToDB
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
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.