Traditionally, databases and big data software have been built mirroring the realities of hardware: memory is fast, transient and expensive, disk is slow, permanent and cheap. But as hardware is ...

As the demand for real-time access to big data accelerates and expectations for optimal performance increase, sophisticated data persistence becomes invaluable. Chris Steel is chief solutions ...

In-memory data grids are gaining lot of attention recently because of their dynamic scalability and high performance. InfoQ spoke with Jags Ramnarayan about these data stores and their advantages.

Cache and memory in the many-core era As CPUs gain more cores, resource management becomes a critical performance … ...

“Instead of a disk-first architecture, with memory used more sparingly to cache small amounts of data for fast access, the data industry is evolving toward a memory first, disk second paradigm,” ...

Typically, a distributed cache is shared by multiple application servers. In a distributed cache, the cached data doesn’t reside in the memory of an individual web server.

Cache, in its crude definition, is a faster memory which stores copies of data from frequently used main memory locations. Nowadays, multiprocessor systems are supporting shared memories in hardware, ...