The Yottamine Predictive Services software (using Amazon Web Services) delivers very high levels of analytics performance for near real-time predictive analytics. This makes the use of support vector machine (SVM) methods practical for many applications that would otherwise require impractically large amounts of compute power. Big data capability is provided through the Hadoop architecture, and is capable of handling terabyte size data training sets. A simple, flexible API is provided to facilitate a web service interface for applications – and this can be run locally or in the cloud.
The high performance characteristics of Yottamine are derived from it’s parallel programming capabilities so that large clusters of processors can be dedicated to a single job.