Couchbase and Cassandra count on the active data set to be in RAM. To overcome the RAM limits of a single server and to make more compute available, the environments run in a cluster that aggregates the RAM and CPU resources. The challenge is RAM is expensive compared to memory alternatives like flash. It is also not as dense. That lack of density leads organizations to add nodes to the respective Couchbase and Cassandra clusters to meet the RAM capacity demands. But doing so wastes CPU resources. In this StorageShort we discuss these challenges in detail with Dr. Amit Golander, CTO of Plexistor.
In our webinar, now available on-demand, Amit and I discuss not only the storage challenges that Couchbase and Cassandra present but also how to solve them. You can watch that webinar right now by clicking on the link below:
Finally, for details on the Plexistor technology itself, join us on the whiteboard for our ChalkTalk discussion “Maximizing the Potential of NVDIMM Storage Class Memory with Software Defined Memory“.