Model-Driven Power Apps

We've been building Canvas apps for most of our Power Platform development. But for some use cases, model-driven apps make more sense. Here's when to use which and how we're thinking about the architecture.

Canvas vs. Model-Driven

Canvas apps give you pixel-perfect control. You design every screen, every control placement, every interaction. Great for purpose-built applications with specific UX requirements.

Model-driven apps are driven by data structure. You define your Dataverse tables, relationships, and business rules; the app generates the interface automatically. Less design flexibility, but faster development and automatic consistency.

When Model-Driven Wins

Data-heavy CRUD applications. If you're building something that's fundamentally about creating, reading, updating, and deleting records, model-driven apps handle this naturally. The auto-generated views and forms are actually good for these use cases.

Applications that need to evolve. When the data model changes (new fields, new relationships), model-driven apps adapt automatically. Canvas apps need manual updates.

Role-based access scenarios. Model-driven apps inherit Dataverse security naturally. Row-level security, field-level security, business unit hierarchies - all of this works out of the box. Canvas apps require more explicit security implementation.

Complex business rules. Dataverse business rules, workflows, and Power Automate flows integrate seamlessly with model-driven apps. The platform was designed for this integration.

When Canvas Wins

Purpose-built interfaces. A warehouse scanner app with large buttons and minimal navigation. A customer-facing portal with branded styling. A kiosk application with specific interaction patterns. Canvas gives you the design control these need.

Non-Dataverse data sources. Canvas apps connect to almost anything - SharePoint lists, SQL databases, REST APIs, legacy systems. Model-driven apps are Dataverse-centric.

Simple applications. If you need a quick app for a specific purpose and don't need the full weight of Dataverse, Canvas is faster to build.

Our Hybrid Approach

We're building model-driven apps for our internal process applications - things like IT ticket management, asset tracking, vendor management. These are data-heavy, role-based, and benefit from automatic security inheritance.

We're keeping Canvas for customer-facing and operational applications - the warehouse apps, the driver apps, the customer portal extensions. These need custom UX that model-driven can't deliver.

The platforms work well together. A model-driven app for back-office management, a Canvas app for field operations, both hitting the same Dataverse data. Best of both worlds when architected properly.