Your data already lives in Microsoft Fabric. Your teams want to turn it into real tools, not just another report. Building the application around that data is usually where things stall.
The challenge is plumbing. A working data application needs a database, APIs, a sign-in flow, security rules, and somewhere to host it. Wiring those pieces together takes specialist developers and weeks of effort, long before anyone sees a result.
Fabric Apps changes that balance. It lets you build data-driven applications directly on Fabric, with the backend generated for you instead of assembled by hand.
How it works in practice
- A generated backend. You describe your data and logic in code, and Fabric provides the building blocks an app needs: a database or a connection to your existing data, the APIs on top of it, and the wiring in between.
- Security built in. Sign-in runs through your existing Fabric identity (Microsoft Entra ID single sign-on), and the same data security rules that protect your reports apply here too.
- Hosting included. Your app deploys with a single command and runs as a managed service that Fabric scales and maintains for you.
- AI-assisted build. Because an app is defined in code, coding assistants such as GitHub Copilot can do much of the heavy lifting. That opens this up to teams who are not full-time backend developers.
Two ways to use it
Fabric Apps come in two main flavors. An operational app gives your application its own managed database to read from and write to, which is ideal for internal tools and admin interfaces. A data app takes a different route. It connects to one of your existing semantic models, the same models that already power your Power BI reports, and queries them directly.
Dashboards, written as code
The data app is where things get interesting for reporting. Instead of dragging visuals onto a canvas, you build a dashboard as code using established visualization libraries such as Vega, Vega-Lite, and D3.js. Because every element is defined in code, you control the entire design and behavior, not just the options a tool happens to expose. In practice, most teams let a coding agent write that code, and a polished, interactive dashboard can come together in well under an hour.
The result
Governed Fabric data, turned into custom tools and tailored dashboards in hours instead of weeks. Internal tools, bespoke data experiences, custom reporting, and backends for AI agents all become realistic to build on the same platform where your data already lives, reusing the security and the models you already trust.
What to keep in mind
A few things are worth weighing before you dive in.
- Fabric Apps is currently in preview and built around TypeScript and Microsoft’s new Rayfin toolset. Details can still change.
- Apps are accessible to users inside your own organization only. Sign-in runs entirely through Entra ID, so there is no external or anonymous access. Customer-facing apps are not yet a use case.
- Most teams will rely on AI to write the code. That brings a real dependence on those tools, along with new questions around consistency between dashboards, the skills your team needs, and the cost of AI usage.
- It does not replace Power BI. For simple and self-service reporting, Power BI stays the more mature and robust choice. Data apps shine where you need flexibility, higher visual fidelity, or a code-first workflow, often in more advanced enterprise scenarios.
Modernization is not about adding more tools. It means removing the steps between your data and the value it can create.
Read more about Fabric Apps:
- Microsoft’s official overview: https://learn.microsoft.com/en-us/fabric/apps/overview
- The Microsoft Build 2026 announcement: https://azure.microsoft.com/en-us/blog/microsoft-build-2026-building-agentic-apps-with-microsoft-fabric-and-microsoft-databases/
- A clear, practical explainer on data apps and visualization as code: https://tabulareditor.com/blog/fabric-apps-explained-visualization-as-code-in-a-data-app-dashboard
Contact us to explore where Fabric Apps fits in your environment, and where it doesn’t.
