> For the complete documentation index, see [llms.txt](https://docs.infotopics.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.infotopics.com/deployment-and-licensing/security-and-data-protection/product-data-handling-and-architecture.md).

# Product data handling & architecture

This section explains how data is handled, where it is processed, and how security differs between deployment models.

### How Tableau extensions work

Tableau Extensions (`.trex` files) are web applications that run **inside Tableau dashboards** using Tableau’s Extensions API.

Key security characteristics:

* Extensions cannot access data unless Tableau explicitly provides it
* Tableau governs authentication and permissions
* Extensions operate within Tableau’s security boundaries
* Data access is scoped to the workbook and user permissions

This ensures extensions cannot bypass Tableau’s built-in security model.

<figure><img src="https://1734369479-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FJjt7zXdgUjvEf9GT1Q3y%2Fuploads%2FueqLB0UodQiYuhP7FqRp%2Fimage.png?alt=media&amp;token=34a17428-ccdf-4120-affb-a7f02004d582" alt=""><figcaption></figcaption></figure>

***

### Product-level data processing

Not all Apps for Tableau store or process data externally.

| **Product**        | **Stores Data** | **Type of Data (if any)**                         |
| ------------------ | --------------- | ------------------------------------------------- |
| SuperTables        | No              | –                                                 |
| PowerKPIs          | No              | –                                                 |
| ShowMeMore         | No              | –                                                 |
| DrillDownTree      | No              | –                                                 |
| EasyDesigns        | No              | –                                                 |
| HierarchyFilter    | No              | –                                                 |
| Marginal Histogram | No              | –                                                 |
| PictureThis        | No              | –                                                 |
| ProcessMining      | No              | –                                                 |
| DashboardGuide     | No              | –                                                 |
| WriteBackExtreme   | Yes             | –                                                 |
| MailScheduler      | Yes             | Audit logs, mailing lists (incl. email addresses) |
| DashboardUsage     | Yes             | Fingerprints, user actions                        |

<br>

### Share vs Enterprise security model

#### Share (SaaS)

* Hosted in segregated Azure environments
* Infrastructure managed by Infotopics
* Security controls aligned with ISO standards
* Customers manage Tableau permissions only

#### Enterprise (Self-hosted)

* Hosted in customer-controlled infrastructure
* Customers manage OS, network, access, and backups
* Infotopics provides the application and documentation

Both models use the same application codebase and follow the same security principles.

***

### Environment isolation

For Share deployments:

* Each customer operates in a segregated environment
* No data is shared between customers
* Logical and operational isolation is enforced


---

# 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 by asking a question.

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

```
GET https://docs.infotopics.com/deployment-and-licensing/security-and-data-protection/product-data-handling-and-architecture.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 `automate deployments from our CI pipeline` 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.
