---
title: "Discussion on \"How We Actually Isolate Tenant Data in Embedded Dashboards (And Where It Gets Hard)\" | Hashnode"
description: "Discussion on \"How We Actually Isolate Tenant Data in Embedded Dashboards (And Where It Gets Hard)\". RLS is table stakes for embedded analytics. Here's what breaks when customers want custom dashboards — and how we keep isolation intact."
url: "https://hashnode.com/posts/how-we-actually-isolate-tenant-data-in-embedded-dashboards-and-where-it-gets-hard/6a4ea72d85c37f9e2021235d"
---

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# [How We Actually Isolate Tenant Data in Embedded Dashboards (And Where It Gets Hard)](https://databrain.hashnode.dev/how-we-actually-isolate-tenant-data-in-embedded-dashboards-and-where-it-gets-hard?utm_source=hashnode&utm_medium=feed)

RLS is table stakes for embedded analytics. Here's what breaks when customers want custom dashboards — and how we keep isolation intact.

Jul 8 · 4 min read · databrain.hashnode.dev  
Updated Aug 3  
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-   [#embedded-analytics](https://hashnode.com/tag/embedded-analytics)
-   [#multi-tenancy](https://hashnode.com/tag/multi-tenancy)
-   [#row-level-security](https://hashnode.com/tag/row-level-security)
-   [#saas](https://hashnode.com/tag/saas)
-   [#data-security](https://hashnode.com/tag/data-security)

## Written by

[Databrain](https://hashnode.com/@Databrain)

@Databrain · San Francisco , United States

  
[View profile](https://hashnode.com/@Databrain)

AI-powered embedded analytics for modern software teams

At DataBrain, we help modern software companies deliver secure, AI-powered analytics directly inside their products without spending months building dashboards, reports, and reporting infrastructure from scratch. Our mission is to help product and engineering teams turn analytics into a seamless product experience that their customers can use, trust, and rely on. DataBrain works with software teams that want to provide customer-facing dashboards, self-service reports, trusted metrics, and embedded insights without adding unnecessary engineering complexity or relying on fragmented BI tools. Our embedded analytics platform is built for product and engineering teams. With flexible SDKs, APIs, UI Kits, semantic layers, white-labelling, and secure multi-tenant permissions, teams can build analytics experiences that feel native to their product while maintaining control over performance, customization, and user access. From executive dashboards and product usage analytics to customer reporting and embedded metrics, DataBrain helps companies launch analytics faster, reduce development effort, and create a stronger data experience for their customers. Visit www.usedatabrain.com to learn more.

## Responses 1

Markdown supported · ⌘↵ to post

[Rahul Pattamatta](https://hashnode.com/@rahulpat)

[Jul 11](https://hashnode.com/posts/how-we-actually-isolate-tenant-data-in-embedded-dashboards-and-where-it-gets-hard/6a4ea72d85c37f9e2021235d/comment/6a51a49d56d3e499092618f5)

Very well written. Tenant isolation is a very important and challenging part of sharing data and insights for enterprises selling to other businesses.