What are the types of cache consistency models?

What are the different types of cache consistency models?

Cache consistency models define how updates to cached data are propagated to ensure all caches reflect the same data. The main types include: 1. Strong Consistency 2. Eventual Consistency 3. Causal Consistency 4. Read Your Writes Consistency 5. Monotonic Reads Consistency.

Can you explain strong consistency in more detail?

Strong consistency ensures that any read operation returns the most recent write for a given piece of data. This means that once a write is acknowledged, all subsequent reads will reflect that write, providing a very predictable behavior.

What about eventual consistency?

Eventual consistency allows for temporary discrepancies between caches. Over time, all updates will propagate, and all caches will converge to the same value, but there may be periods where different caches return different values.

Which model is the most commonly used?

It depends on the application. Eventual consistency is popular in distributed systems like NoSQL databases due to its flexibility and performance, while strong consistency is often used in systems where accuracy is critical, like banking.