Model-driven app design is an approach that focuses on adding components such as forms, views and dashboards using an app designer tool. Additionally, relationships connect tables together in a way that permits navigation between them and ensures that data is not repeated unnecessarily. Using the app designer with little or no code, you can build apps that are simple or very complex.

Process driven apps:
Model-driven apps are especially well suited to process driven apps that are data dense and make it easy for users to move between related records. For example, if you are building an app to manage a complex process, such as onboarding new employees, managing a sales process, or member relationships in an organization such as a bank, a model-driven app is a great choice.

Data modeling:
While they’re called model-driven apps, it is often easier to think of them as data model driven apps. This is because, without a data model housed within Microsoft Dataverse, you can’t create a model-driven app

User experience:
From the user’s perspective, all model-driven apps offer a similar experience, which is both accessible to many users and to the device used. The experience is similar to the diagram shown below.​​
In this example, the app contains three tables (challenges, ideas, team projects), one dashboard, and multiple charts and views. Users can navigate between the tables using the left pane or via the dashboard

Benefits of the model-driven approach​:
  Unlike canvas app development where the designer has complete control over app layout, with model-driven apps much of the user interface is determined for you and is largely designated by the components you add to the app.​
  There are some notable advantages to this method of application development.​
  Once the data model and relationships have been created, the build process is relatively rapid due to rich component-focused no-code designers.​
  Apps have a similar user interface across various devices from desktop to mobile.​
  The apps are accessible and responsive automatically.​
  The user experience is consistent across all model-driven apps. Once a user is confident with one model-driven app, later apps are easier to adopt within an organization.​
  Migrating apps between development, test, and production environments is relatively straightforward by using solutions.​

Model-driven and canvas apps compared:
In canvas apps, the app maker has total control over the app layout. With model-driven apps, much of the layout is determined by the components you add. The emphasis is more on quickly​.
viewing your business data and making decisions instead of on intricate app design​.

 

Category

Model-driven apps

Canvas apps

Data platform

Dataverse only

Dataverse + many others using connectors

Design experience

No-code component focused design

Manipulation of control properties using Power Fx expressions

UI control

Limited, predominantly customization

Full control

App consistency

High – differs predominantly based on the tables and views chosen

Often low, given the significant control the designers have of the user experience

Migration between environments

Simple

Potentially complex given that the datasources may need to be updated

Speed of creation

Rapid

Relative to the complexity of the design

Responsive

Automatically responsive

Only responsive if designed in this way

Navigation through relationships

Automatic, provided relationships exist

Only where designed and applied using Power Fx formulas

Accessibility features

Built in

Designed into the app: Create accessible canvas apps

Steps to building and sharing a model-driven app:

At a fundamental level, model-driven app making consists of the following areas.​
  Modeling business data​
Defining business  processes​
  Composing the app​
  Configuring security roles​
  Sharing your app​
A large part of the time spent building the app is dedicated to modeling the business data and in some case to defining the business processes. Customizing security roles will depend on the needs of the organization​

Using solutions to assist with Application Lifecycle Management:

Application lifecycle management is the way in which we develop an app from conception to end of life.​

Solutions are used to act as wrappers for all the elements required to deliver a product for use within a business.​

As a minimum, a model-driven app requires a single table, a site map, plus the app itself. However, model-driven apps generally include a considerable amount more, and this includes canvas apps, security roles, environment variables, and much more.​

Solutions offer the means by which these elements can be migrated between environments. Consequently, solutions are an important part of any application lifecycle management strategy. ​

When you create a model-driven app, you should create it within a solution.​

Minimum requirements for building a model-driven app:
Model-driven apps can be complex. However, the minimum requirements for building them are relatively straightforward.​
  A Microsoft Power Apps license.​
  Capacity to create a Power Platform environment. This is a feature of the Power Apps and Dynamics 365 licenses held.​
  A Power Platform environment.​
  A Dataverse database within the environment. This is selected when you create an environment. More information: Create an environment with a database​
  Privileges for the maker to work as a system customizer or environment maker in the environment where the model-driven app is created. More information: About predefined security roles​
  A table. (There are many standard tables, including account, which exist by default.)​
  One table column. (Every table has at least one column, and many system columns.)​
  One table view, to view records. (There are a number by default.)​
  One table form, to enter data. (There will be one by default.)​
A model-driven app is created, by adding a table to a site map using the app designer, and running through the app validation and publishing process.​