In this GridGain article featured on Data Center Knowledge, Nikita Ivanov, founder of GridGain Systems reaches out and leads GridGain in developing advanced and distributed in-memory data processing technologies, including a Java in-memory computing platform.
There are three topics discussed:
1. Coming Up Short in the Face of a Data Avalanche: It’s not surprising that the majority of NoSQL usage has traditionally come from non-critical websites. NoSQL has been somewhat limited in its potential. But it doesn’t have to be.
2. Taking NoSQL futher with In-Memory: With In-Memory, the idea is to bring the computation to your data. This is orders of magnitude faster and frees resources.
3. Putting NoSQL on SteroidS: With natively distributed in-memory architecture, organizations can achieve scale-out partitioning, increased performance and improved scalability
Looking to leverage NoSQL In-Memory with minimum pain points? Click here to view a list of how to achieve certain things in your implementation.