In the Write-Behind Cache Pattern, instead of writing data directly to the data store, the application writes to a cache. The cache then asynchronously writes the data to the data store. This approach allows the application to continue processing other tasks without waiting for the data store write operation to complete.
The write-through cache pattern is a caching strategy that ensures data consistency and reliability. In this pattern, every write operation to the cache is immediately written to the database as well. This means that the cache always contains the most recent version of the data, ensuring that read operations are always accurate.
The read-through cache pattern is a caching strategy that enhances performance by maintaining a cache between the application and the data store. Unlike the cache-aside pattern, where the application is responsible for reading from and writing to the cache, in the read-through pattern, the cache itself manages the interaction with the data store.
The cache-aside pattern is a widely used and most common caching technique that enhances performance by maintaining a cache of data that’s expensive to fetch or compute. It’s typically used in systems or use cases where read operations are more frequent than write operations.