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 ...

Clearly, when government IT departments incorporate in-memory computing with a fast restartability store, they can store environment-specific data in the cache, using a simple put/get API and ...

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

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.

Because IMDGs cache application data in RAM and apply massively parallel pro­cessing (MPP) across a distributed cluster of server nodes, they provide a simple and cost-effective path to dramatically ...

In-memory data systems have have had a panache for several years now. From SAP HANA to Apache Spark, customers and industry watchers have been continually intrigued by systems that can operate on ...

“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, ...

IBM Research has been working on new non-volatile magnetic memory for over two decades. Non-volatile memory is wonderful for retaining data without power, but it is extremely slow, and does not ...