MemSQL has made available a distributed version of its in-memory database and real-time analytics platform, enabling organizations to perform real-time analytics at big data scale. Also included in ...

Oracle Corp. announced today that its Globally Distributed Autonomous Database is generally available. Aimed at customers that have strict data sovereignty requirements, usually because of ...

AWS has launched new features for DynamoDB, Aurora and MemoryDB cloud databases to help scale distributed workloads and lower costs.

Among them was the chance to review NoSQL and in-memory databases. The team opted to work with Redis Labs to build the distributed, in-memory key-value database into the caching system.

Database vendors are responding to growing enterprise requirements for real-time access to stored data. The Terracotta database runs on top of a distributed in-memory data grid dubbed BigMemory, which ...

However, many in-memory data grids require that all the data in the underlying disk-based database fit into memory, requiring a business to purchase enough memory to hold all the data.

More databases and data stores and the applications that run atop them are moving to in-memory processing, and sometimes the memory capacity in a single ...

In-memory database systems have become popular and commonplace in the 2000s. Nevertheless, misinformation and misunderstandings still abound about the technology.

Enfabrica raises $125M to scale up GPUs, memory, networks and storage for distributed AI workloads - SiliconANGLESiliconANGLE Media is a recognized leader in digital media innovation serving ...