Fix the workflow and exclusions first

The decision is for one authenticated departmental workflow. Staff read and update business records, one maintainer changes the application, and one owner approves production releases.

The comparison excludes price, performance, licensing, certifications, offline behavior, external customers, and an aggregate score. It also excludes claims about every internal-app platform or every PaaS. The two systems are reference models that make boundaries visible.

Microsoft describes Power Apps as a suite of apps, services, connectors, and a data platform for building business applications. Its current canvas-app documentation also describes building against Dataverse and other data sources and sharing apps with users or groups. Azure describes App Service as managed PaaS for customer application code. Those facts establish different starting points, not a winner.

Compare the same responsibility layers

Construction and control plane

  • Power Apps canvas plus Dataverse: a maker builds the canvas app in Power Apps Studio and connects it to Dataverse. Power Platform environments package the maker and administration workflows.
  • React and Node on App Service: a development team owns the code, dependencies, schema, and build artifacts. Azure resources, source control, delivery tooling, and application configuration form the customer control plane.

Identity and data

  • Power Apps canvas plus Dataverse: the platform supplies sharing and identity integrations; the customer still chooses users, groups, roles, and effective permissions. Dataverse is the frozen store, with the customer's table and access decisions.
  • React and Node on App Service: Azure and Entra supply identity capabilities; the customer designs application roles and authorization. Azure SQL is the frozen store, with customer-owned schema and application access.

Release and runtime

  • Power Apps canvas plus Dataverse: canvas save and publish are separate; versions can be restored and republished. Microsoft operates the Power Platform service.
  • React and Node on App Service: the customer builds and deploys an identified application artifact. Microsoft operates the PaaS operating system, runtime, and middleware; the customer retains application duties.

Incidents and recovery

  • Power Apps canvas plus Dataverse: platform administration and support routes exist; the team still needs application signals and a response owner. App versions do not by themselves recover data, connections, identities, and ownership.
  • React and Node on App Service: platform diagnostics exist; the team still needs application telemetry, diagnosis, and response ownership. Source code does not by itself recover database state, configuration, identities, and delivery access.

The construction and runtime rows are documented facts about the frozen services. The complete-system implications are editorial conclusions from the listed components. No row reports a hands-on test.

Notice what the internal-app platform packages

The Power Apps model gives the team a defined maker surface, environment, sharing workflow, connector model, and Dataverse option. That packaging can reduce the number of separately assembled systems. It can also make platform administration, maker permissions, connections, and solution ownership part of the application lifecycle.

This is not the same as saying the application is automatically governed. Sharing a canvas app does not prove that every Dataverse table, connector, or business action has the intended authorization. A buyer still needs to inspect effective access and test allowed and denied behavior.

Microsoft's save and publish guidance provides a visible draft/live distinction and version history for the app definition. Recovery still has to cover data, connections, configuration, and departed-owner access.

Notice what PaaS deliberately leaves open

App Service supplies a managed application runtime. The customer chooses the repository, application architecture, packages, data model, delivery process, identity integration, telemetry, and operating procedures around it.

Microsoft's shared-responsibility guidance places operating systems, runtime, and middleware with the provider in PaaS while retaining customer responsibility for data, identities, settings, and the components the customer controls. Managed runtime is therefore not the same as managed application operation.

That openness can support a precise architecture or existing engineering standards. It also means a buyer must price and staff the assembly work rather than comparing App Service with a complete internal-app workflow as if they were identical products.

Use the distinction to make a decision

Choose the internal-app model for further evaluation when its packaged maker, data, sharing, and administration workflow fits the people who will own the application. Choose the PaaS model for further evaluation when the organization can deliberately own the application architecture and needs that control.

Neither is a release decision until these questions have named answers:

  • Who may build, review, publish, and administer the application?
  • Where is authorization enforced for every protected record and action?
  • What artifact or version is live, and how is it verified?
  • Which signals reach an accountable incident owner?
  • What restores code, data, configuration, and identity access?
  • Can a second operator take over without the original builder?

If the team cannot answer those questions, the category choice has not solved the operating problem.

Verification checklist

  • The compared application and PaaS models are explicit.
  • Both models use the same workflow and responsibility rows.
  • Documented facts are separate from editorial implications.
  • Customer duties remain visible in managed services.
  • Release and recovery cover more than the app definition or source code.
  • Pricing and recommendations wait for equivalent plan-specific evidence.

Frequently asked questions

Is an internal app platform SaaS?

Some platform components may be delivered as SaaS, but the category label does not describe the complete responsibility boundary. Map the specific service, application, data connection, and operating model.

Is PaaS the same as self-hosting?

No. PaaS normally leaves application responsibilities with the customer while the provider operates managed infrastructure and runtime layers. “Self-hosted” is also ambiguous unless its control and operating boundaries are specified.

Which model is more secure?

This documentation-only comparison cannot answer that. Security depends on the selected services, configuration, effective authorization, operating practice, and evidence from the actual environment.