Database Caching Using GridGain

Keep Your Most Frequently Used Data at the Application Layer with Database Caching

The GridGain® in-memory computing platform provides outstanding support for database caching. In a traditional three tier architecture, the application tier is separated from the data tier via the network. This creates substantial latency problems for modern real-time applications as data has to travel from databases to the application tier and, when processed, be quickly discarded as it is no longer needed – only to be fetched again on the subsequent request from the client tier.

Database caching on the application tier is the key approach to mitigate the inherent latency of any three tier architecture. Specifically, in-memory data caching systems allow you to keep your most frequently used data at the application level, dramatically reducing query times by eliminating the need to fetch data over the network from the database. This results in consistent, orders-of-magnitude better performance and response times, while leaving the existing database infrastructure unchanged.

The database caching capabilities of the GridGain in-memory computing platform leverage the system's in-memory data grid to support a wide variety of underlying data store types including RDBMS, NoSQL and Hadoop, as well as full ACID transactions, horizontal and vertical scaling options, and data center replication. GridGain offers first class support for Java/.NET/C++ applications, and provides industry leading security, management and monitoring functionality.