What are the different consistency models in distributed systems?

What are the different consistency models in distributed systems?

In distributed systems, consistency models define how data is synchronized across nodes. The main types include strong consistency, eventual consistency, causal consistency, and more.

Can you explain strong consistency and how it works?

Strong consistency ensures that all nodes see the same data at the same time. When a write occurs, all subsequent reads will reflect that write, making it ideal for applications requiring immediate data accuracy.

What about eventual consistency? How does it differ?

Eventual consistency allows for temporary discrepancies between nodes. Updates will propagate over time, ensuring that all nodes will eventually converge to the same value, which is useful for systems prioritizing availability.

Which model is best for real-time applications?

For real-time applications, strong consistency is often preferred to ensure immediate data accuracy, but it can come at the cost of availability. Eventual consistency might be suitable for less critical data.