What are the differences between caching and database optimization?
An example of an AI chatbot conversation about caching vs database optimization.
What are the differences between caching and database optimization?
Caching is a technique to store frequently accessed data in memory for quick retrieval, while database optimization involves improving the performance of database queries and structure.
Can you give me examples of caching methods?
Sure! Common caching methods include in-memory caching (like Redis), browser caching, and CDN caching.
When should I use caching instead of optimizing my database?
Use caching when you have read-heavy workloads and need faster access to data. Database optimization is better for improving overall query performance.
Are there any downsides to caching?
Yes, caching can lead to stale data if not managed properly, and it requires additional memory resources.
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