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.

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

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.

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.

As noted at the beginning of this article series last week, an initial dive into in-memory computing meant questioning whether this was just another of those buzz words or whether there was some meat ...

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 databases have been in existence since the late 70s, but only now do we have the platforms needed and the high-speed processors to make in-memory computing economic and useful.

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.

These days when you talk to people in the tech industry, you will get the idea that in-memory computing solves everything. The story is that RAM has become so cheap that you can just stuff all your ...