We add another feature to our SQLiteData-based app to show how the tools interact with observable models and SwiftUI view lifecycles. We’ll show how the library gives you ultimate control over the precision and performance of how data is fetched and loaded in your app.

We give a tour of our SQLiteData library, a fast and lightweight alternative to SwiftData. We’ll set up a fresh project with the package, define models and configure the database, and even write SQL migrations with the help of Xcode’s Coding Assistant.

We continue our series on “modern persistence” with an important topic: “callbacks.” Callbacks are little hooks into the lifecycle of your data model so that you can be notified or take action when something changes. We will first explore the “Active Record” pattern of callbacks, popularized by Ruby on Rails, and then see how we can improve upon them.

We conclude our tour by adding iCloud synchronization and collaborative sharing, all in under thirty minutes! We will show how support will not require any fundamental changes to our application, show off live synchronization across multiple devices and users, and we will use our upcoming “Point-Free Way” skill documents to let Xcode’s Coding Assistant write things for us.

We explore how SQLiteData gives you precise control over your data model, including larger blobs of data, by adding a photo avatar feature to our scorekeeping app. Along the way we will explore a new iOS 26 style confirmation dialogs and a SwiftUI binding trick.

We add another feature to our SQLiteData-based app to show how the tools interact with observable models and SwiftUI view lifecycles. We’ll show how the library gives you ultimate control over the precision and performance of how data is fetched and loaded in your app.