What are real-world consistency models in distributed systems?
Real-world consistency models define how data is synchronized across distributed systems. They ensure that all nodes reflect the same data state.
Can you explain the difference between strong and eventual consistency?
Strong consistency guarantees that all reads return the most recent write, while eventual consistency allows for temporary discrepancies between nodes.
What are some examples of systems that use these models?
Examples include databases like Google Spanner for strong consistency and Amazon DynamoDB for eventual consistency.
How do these models impact system performance?
Consistency models can significantly impact performance; strong consistency often leads to higher latency, while eventual consistency can improve throughput.
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