What are the challenges of working with immutable data?

What are the challenges of working with immutable data?

Working with immutable data can lead to challenges such as increased memory usage, performance issues during updates, and complexity in managing state.

Can you explain why memory usage increases?

Sure! Since immutable data cannot be changed, every modification creates a new copy of the data, which can lead to higher memory consumption.

How does this affect performance?

Performance can be affected because creating new copies of data can be slower than modifying existing data, especially with large datasets.

Are there any strategies to mitigate these challenges?

Yes, strategies include using data structures designed for immutability, like persistent data structures, and optimizing data access patterns.