What are the advantages of causal consistency in distributed systems?
An example of an AI chatbot conversation about the benefits of causal consistency in distributed systems.
What are the advantages of causal consistency in distributed systems?
Causal consistency ensures that operations that are causally related are seen by all nodes in the same order, which helps maintain a coherent state.
How does it compare to eventual consistency?
Unlike eventual consistency, causal consistency provides a stronger guarantee by preserving the order of causally related operations, making it easier to reason about the system's state.
Can you give an example of where this is useful?
Sure! In collaborative applications like Google Docs, causal consistency allows users to see changes made by others in a logical order, enhancing collaboration.
What are the trade-offs of using causal consistency?
The main trade-off is performance; causal consistency can introduce latency compared to weaker consistency models, as it requires more coordination.
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