In what scenario would you use Local Storage instead of Shared Preferences?

Local Storage refers to methods for storing data that requires persistence, such as databases or files, which are suitable for handling larger amounts of data. This is particularly useful when the data being stored is not limited to simple key-value pairs, as is often the case with Shared Preferences. Shared Preferences are designed to store small pieces of primitive data like user settings or preferences, typically in the form of key-value pairs, and are not ideal for more complex or larger datasets.

When the scenario involves larger amounts of data that need to be saved persistently, such as when working with objects or arrays of data that exceed the limitations of Shared Preferences, using Local Storage is the appropriate approach. This allows for a more structured way of storing data, as it can leverage databases or file systems to manage more complex data operations (like SQL databases using Room or other ORM libraries) efficiently.

In contrast, options focusing on simple user settings, quick retrieval of small values, or even simple data structures are better suited for Shared Preferences due to its simplicity and efficiency for such use cases.