Comparative Analysis of Caching Strategies
Caching Strategies |
Advantages |
Disadvantages |
---|---|---|
Cache-Aside |
This approach is efficient for read-heavy workload applications. It allows flexibility in data models compared to the database. |
Risk of inconsistency between the cache and database. Data written directly to the database may not immediately reflect in the cache, leading to potential inconsistencies. |
Read-Through |
It simplifies the application logic because the cache handles data retrieval. It is also suitable for read-heavy workload applications. |
This approach increases the database load. For every new data request, results are returned from the database instead of the cache. Maintaining the data consistency between the cache and database is complex. |
Write-Through |
Write-through caching ensures data consistency between the cache and database. It supports faster write operations. |
This method requires more time for write operations because data should be written in the both cache and the database. Write-through caching is complex because it requires careful coordination between the cache and the database. |
Write-Back |
This caching can improve overall write performance because it reduces the number of write operations to the database. It is suitable for applications with a write-heavy workload. |
There’s a risk of data loss if the cache fails before writing to the database. While using the Write-back method, there can be data inconsistency occurs between the cache and the database |
Write-Around |
This caching strategy is mainly used to improve the application and database performance. It prevents cache pollution. Because it efficiently handles the cache. |
This method increases the read latency if the cache miss. There is a possible risk of returning outdated information. |
What is Caching Strategies in DBMS?
In today’s digital world, the speed of an application plays a major role in its success. Generally, users expect the applications to run faster with quick responses. Also, It should support seamless experiences across all their digital interactions, whether they’re browsing a website, mobile app, or a software platform. Caching is used to implement a high-speed system with a large number of users. A cache is a high-speed data storage that stores data temporarily to serve future requests faster.
Database caching is like a helper for your primary database (DB). It is a mechanism that stores frequently accessed data in temporary memory. Whenever the application requests the data again, that can quickly get it from this helper, instead of from the main database. Cache helps to reduce the database workloads. So it increases system speed by reducing the need to fetch data from DB.