In-memory processing has long been used in analytic NoSQL database. But now transaction oriented NoSQL databases, like those from DataStax and MongoDB, are getting the in-memory treatment, which is ...

In this article, author Yiftach Schoolman outlines how to overcome the top seven challenges associated with managing the in-memory NoSQL datastores in the cloud.

Aerospike, the first distributed database built to take advantage of flash storage, represents the next generation of caching technologies, in-memory technologies and NoSQL databases. It delivers RAM ...

Pimp My NoSQL The TV show “Pimp My Ride” takes ordinary automobiles and turns them into super cars. Using in-memory data grids you can do essentially the same for NoSQL, accelerating it to work with ...

In-memory analytics is a trend that’s growing, thanks to smaller players such as Garantia, but also the bigger vendors that identified an opportunity in this field.

In-Memory: Speeding Up Value by Using Operational Intelligence Most IT organizations operate under the assumption that achieving maximum application performance requires a relational database. But ...

SQL databases with in-memory column stores, NoSQL with query languages; it looks like the two schools of database design have begun to merge.

There are quite a few databases competing to be 'king' of NoSQL. MongoDB claims to have the fastest-growing NoSQL database ecosystem, MarkLogic claims to be the only Enterprise NoSQL database, while ...

NoSQL databases offer key-value, graph, or document features. Hazelcast concentrates on key-value functionality, emphasizing speedy access to distributed data.

Developers use Aerospike, an open-source, flash-optimized, in-memory NoSQL key-value store for caching, as a user profile or context store, and to simplify scaling with smaller clusters and the ...