Database Caching

 



Database Caching Definition

In-memory database caches are commonly added to databases in an attempt to improve overall application scalability and performance. These database cache systems temporarily hold data in memory, making data access much faster by side-stepping persistent storage media, like hard or solid-state drives (SSD). RAM access (measured in tens of nanoseconds) is about three orders of magnitude faster than SSD access (measured in tens of microseconds).

Database caching can be applied to both NoSQL databases (such as Apache Cassandra, Amazon DynamoDB, and MongoDB) and relational databases such as Amazon RDS.

The attraction of a database cache system is that it’s minimally invasive to implement yet can achieve high performance of speed and scale for web applications. Depending on the use case, a database cache system can be deployed on its own or in different tiers.

Principally executing a buffering technique, database cache architecture stores frequently-queried data in a temporary memory so it is more readily accessed to reduce database workloads. For example, a user may need to retrieve their profile from the database to use the system. The first time it will need to go from server to server, but then it will store the user profile closer to the user to reduce the time needed to read the profile the next time it is queried.

However, database cache system are not as simple as they are often made out to be. In fact, they can be one of the more problematic components of a distributed application architecture. If your data infrastructure relies on caches, your overall approach may be subject to the downsides of caching



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