Withdata DBToFile exports RedShift tables, views and query results to yaml locally — one table, several similar tables into one file, or batch export many tables to separate files. 100% local, secure, and cross-platform.

RedShift is a database server; the export runs on your own computer, no data is uploaded.

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Why Choose Withdata DBToFile as the RedShift to YAML Exporter?

🔒 100% Local & Secure

Your RedShift credentials and data are used only on your own computer. Nothing is uploaded to any cloud server.

⚡ Fast Streaming Export

Millions of rows within a minute. Large tables are streamed with low memory usage.

📁 Batch & Merge

Batch export many RedShift tables to separate YAML files, or export several similar tables into one file.

🔍 Tables, Views & Queries

Export a whole table, a selection of tables, a view, or the result of your own SQL query.

🖥 Windows, macOS, Linux

Native builds for Windows, macOS and Linux, with a step-by-step GUI wizard and a command line interface.

⏱ CLI & Scheduled Tasks

Save an export session and run it automatically from Windows Task Scheduler or crontab.

Full Feature Comparison

Feature	Supported details
Database	RedShift (connect with host / port / user / password; SSL where the server supports it)
Input	Whole table · selected tables · views · custom SQL query
Output format	YAML with configurable indent (2 spaces by default) and flow style
Export mode	Single table · several similar tables into one file · batch (one file per table)
Running mode	GUI wizard · command line · scheduled tasks
Source options	Schema, table(s), show views, custom query
Output options	Indent (2 spaces by default), flow style, nested mappings
Platform	Windows, macOS, Linux (native, 64-bit)

All RedShift to YAML Export Options You Need

Export one RedShift table to YAML — step by step in the GUI wizard
Export the result of a RedShift SQL query to YAML
Export several similar RedShift tables into one YAML file
Batch export RedShift tables to separate YAML files
Run the export from the command line, and schedule it as a scheduled task
All RedShift export tools and all YAML tools

RedShift to YAML Notes

Each exported row becomes one mapping in a top-level YAML sequence.
The output indent can be set — 2 spaces by default.
Flow style ({ } / [ ]) can be enabled or disabled.
Column names that contain dots (for example address.city) can be written back as nested mappings.
Output is UTF-8 encoded.

How to Export RedShift to YAML (4 Steps)

Open Withdata DBToFile and connect to your RedShift database (host, port, user, password).
Choose what to export: a table, several tables, a view, or type your own SQL query.
Choose YAML as the output format and set the output options (Indent (2 spaces by default), flow style, nested mappings).
Click Export — the YAML file is written in seconds. Save the session if you want to run it again from the command line.

Export RedShift to YAML in GUI

In GUI mode the export is a step-by-step wizard: connect to the database, pick a table (or write a query), pick the YAML output, check the preview, and click Export. See Withdata DBToFile.