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.

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 ...

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 ...

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

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 ...

It is the first flash-optimized in-memory NoSQL database to combine transactions and "hot" analytics with strong ACID consistency and enterprise-grade reliability.

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 ...

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 ...

Redis Labs, the company behind the open source Redis data structure store, today announced that it has raised a $14 million Series C round led by Bain ...

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