Why is Database Caching Strategy Important?
- Improved System Performance: In general, the frequently used data is stored in the cache. So the applications can retrieve that data more quickly from the cache instead of the primary DB. It improves the system performance and reduces latency.
- Increase Data Availability: Caching increases data availability if the primary DB goes down, caching acts as a backup source. Depending on where the cache is stored, it can still serve data to the application even if the primary DB is unavailable.
- Cost Savings: The caching mechanism reduces DB server load. Caching can help to build the infrastructure with lower costs compared to DB servers. It allows organizations to achieve the same level of performance with fewer resources.
- Improved User Experience: Using the Caching technique responses are returned faster. It leads to a better overall user experience, particularly for applications that require real-time or near-real-time access to data.
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.