How does causal consistency affect performance?

What is causal consistency in distributed systems?

Causal consistency is a model that ensures operations that are causally related are seen by all nodes in the same order.

How does it differ from eventual consistency?

Unlike eventual consistency, which guarantees that all nodes will eventually converge, causal consistency maintains the order of causally related operations.

What impact does causal consistency have on system performance?

Causal consistency can improve performance by reducing the need for synchronization, but it may also introduce latency due to the need to track dependencies.

Can you give an example of where causal consistency is beneficial?

Sure! In collaborative applications like Google Docs, causal consistency allows users to see updates in a way that reflects their interactions without unnecessary delays.