> For the complete documentation index, see [llms.txt](https://docs.tonic.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tonic.ai/app/setting-up-your-database/amazon-redshift.md).

# Amazon Redshift

Amazon Redshift is a cloud-based data warehouse service.

Tonic Structural can move data from one database to another within a single Amazon Redshift instance. Structural can also move data between Amazon Redshift instances.

In both cases, Structural uses Amazon S3 as an intermediate stage to host both the source data and the destination data.

<table data-view="cards"><thead><tr><th></th><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>Structural process for Amazon Redshift</strong></td><td>How Structural data generation works with Amazon Redshift.</td><td></td><td><a href="/app/setting-up-your-database/amazon-redshift/redshift-tonic-process-overview.md">Structural process overview for Amazon Redshift</a></td></tr><tr><td><strong>Structural differences and limitations</strong></td><td>Features that are unavailable or work differently for the Amazon Redshift data connector.</td><td></td><td><a href="/app/setting-up-your-database/amazon-redshift/redshift-tonic-differences.md">Structural differences and limitations with Amazon Redshift</a></td></tr><tr><td><strong>Required Amazon Redshift configuration</strong></td><td>Required configuration for Amazon Redshift before you create an Amazon Redshift workspace.</td><td></td><td><a href="/app/setting-up-your-database/amazon-redshift/initial-tonic-setup.md">Before you create an Amazon Redshift workspace</a></td></tr><tr><td><strong>Configure workspace data connections</strong></td><td>Data connection settings for Amazon Redshift workspaces.</td><td></td><td><a href="/app/setting-up-your-database/amazon-redshift/connecting-to-redshift.md">Configuring Amazon Redshift workspace data connections</a></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.tonic.ai/app/setting-up-your-database/amazon-redshift.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `build a script that syncs our docs to a CMS` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.