Product overview > Cache

Database integration: Write-behind, in-line, and side caching

WebSphere eXtreme Scale is used to front a traditional database and eliminate read activity that is normally pushed to the database. A coherent cache can be used with an application directly or indirectly using an object relational mapper. The coherent cache can then offload the database or backend from reads. In a slightly more complex scenario, such as transactional access to a data set where only some of the data requires traditional persistence guarantees, filtering can be used to offload even write transactions.

You can configure eXtreme Scale to function as a highly flexible in-memory database processing space. However, eXtreme Scale is not an object relational mapper (ORM). It does not know where the data in eXtreme Scale came from. An application or an ORM can place data in an eXtreme Scale server. It is the responsibility of the source of the data to make sure that it stays consistent with the database where data originated. This means eXtreme Scale cannot invalidate data that is pulled from a database automatically. The application or mapper must provide this function and manage the data stored in eXtreme Scale.

Figure 1. ObjectGrid as a database buffer

Database buffer

Figure 2. ObjectGrid as a side cache

Side cache

Parent topic:

Cache overview

Related concepts

Cache architecture: Maps, containers, clients, and catalogs

Java object caching concepts


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