In Object Oriented Programming (OOP), we model complex entities and processes using objects that combine state and behavior. OOP works best when we need to define and defend clear boundaries. However, for some use cases, this approach is overkill.

In data-oriented programming, we model (immutable) data separately from business logic. The Switch Expression, Sealed Classes, Records, and Pattern Matching features introduced in the Amber project help us to implement this approach in Java. Especially smaller, simple programs benefit additionally from Java's static type system.

The techniques of object-oriented and data-oriented programming do not contradict each other, they are different tools for different granularities and situations. In this talk I will show how data-oriented programming looks like we can combine the two paradigms.