DataStax Brings In-Memory To NoSQL

Web and mobile applications are getting bigger and people are as impatient as ever. These are two factors hastening the use of in-memory technology, and DataStax on Wednesday became the latest database management system (DBMS) vendor to add in-memory processing capabilities.

DataStax Enterprise is a highly scalable DBMS based on open source Apache Cassandra. Its strengths are flexible NoSQL data modeling, multi-data-center support, and linear scalability on clustered commodity hardware. Customers like eBay, Netflix, and others typically run globally distributed deployments at massive scale.

With the DataStax Enterprise 4.0 release announced on Wednesday, the vendor is adding an in-memory option whereby developers can move new or existing database tables into memory to ensure ultra-fast performance. The move comes in response to growing numbers of DataStax customers who have been deploying in-memory products such as Memcached or Redis alongside Cassandra in order to handle low-latency processing needs.


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