You probably understand that Pervasive DataRush is a fast processing engine and is great for data preparation, but did you know that the just released version 4.4 also includes an analytics platform? Pervasive DataRush for Analytics now allows users to analyze their entire gigantic data set (instead of just a sample) and make use of the newly-available core analytics library to perform data mining operations leveraging the high throughput and scalability of the Pervasive DataRush engine.
The new DataRush Core Analytics Library includes several classifiers including Naïve-Bayes, KNN, and decision trees; clustering using a k-means algorithm; association rule mining (ARM); linear regression, logistic regression, multiple regression and polynomial regression; and PMML model support.
Pervasive DataRush for Analytics helps organizations dramatically reduce the time necessary to do complex analysis of big data on a single multicore server. A recent Pervasive DataRush case study shows how the ability to read production parameters and adjust production optimization models quickly with DataRush for Analytics in seconds versus minutes or hours positively affected their bottom line. Now organizations have the ability to process complex risk calculations faster than before with higher accuracy, which is a huge advantage for timely decision support.
The enhanced 4.4 release also includes expanded data preparation capabilities, a JAVA SDK to extend and customize data preparation and analytics capabilities, and a JavaScript-based scripting interface to help you take control of your ever-growing data.