What are the downsides of using immutable data?

What are the downsides of using immutable data?

While immutable data has benefits like simplicity and thread safety, it can lead to performance issues due to frequent copying.

Can you explain how performance is affected?

Sure! When you modify immutable data, a new copy is created instead of changing the original, which can increase memory usage and processing time.

Are there scenarios where mutable data is preferred?

Yes, in scenarios requiring frequent updates or large datasets, mutable data can be more efficient as it avoids the overhead of copying.

What about the impact on debugging and testing?

Immutable data can simplify debugging since the state doesn't change unexpectedly, but it may complicate testing due to the need for more setup.