What are the downsides of using a read-through cache?

What are the downsides of using a read-through cache?

While read-through caches can improve performance, they have some downsides. For instance, they can introduce latency if the cache misses and needs to fetch data from the database. Additionally, they can lead to stale data if the cache isn't updated properly.

Can you explain how stale data can be a problem?

Stale data occurs when the cache holds outdated information. This can lead to inconsistencies, especially in applications where real-time data is crucial, such as financial systems or live tracking services.

Are there any strategies to mitigate stale data issues?

Yes, strategies include implementing cache expiration policies, using versioning for data, and employing write-through or write-behind caching techniques to ensure data consistency.

What are the performance implications of these strategies?

While these strategies can help maintain data accuracy, they may introduce additional overhead, potentially reducing the performance benefits of caching. It's essential to balance consistency and performance based on your application's needs.