In-memory computing involves storing data in the main random access memory (ram) of specialised servers instead of in complex relational databases running on relatively slow disk drives.

A new white paper from GridGain explores why demand is growing for IMC platforms and what's next for the world of in-memory computing.

However, SAP HANA and the like use in-memory computing techniques to accelerate the performance of specific vendor-oriented applications.

In-memory computing: Where fast data meets big data The evolution of memory technology means we may be about to witness the next wave in computing and storage paradigms.

In-memory computing can deliver a 1000X increase in speed in addition to the ability to scale out to handle petabytes of in-memory data for new and existing applications.

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

Companies like ScaleMP offer virtualization for in-memory high-end computing, which is good for data center consolidation, and significantly reducing capital costs, as well as operational and ...

As we continue through 2021 and in-memory computing platforms mature, we will see the number of industries and companies adopting these solutions con­tinue to grow. This trend will last far beyond the ...

In-memory computing (IMC) has had a rough go, with the most visible attempt at commercialization falling short. And while some companies have pivoted to digital and others have outright abandoned the ...

What's Changing In Memory Innovations in materials and systems will be required for the next generation of computing.