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

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

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.

Snabe predicted that in-memory computing will be the dominant computer architecture in future, taking over from the separate hard drive and memory architecture that computers have today.

In-memory computing specialist GridGain Systems Inc. said Nov. 3 that its data fabric code has been accepted by the Apache Software Foundation’s incubator program under the name “Apache Ignite.” ...