Pervasive Software Enriches Pervasive DataRush with Scalable Analytics

AUSTIN, TEXAS - Pervasive Software Inc., an emerging leader in enabling scalable data-intensive applications and data analytics, announced in a press release a significant update to Pervasive DataRush, offering extensible libraries for data preparation and analytics, as well as integration to the KNIME open source workflow interface for data mining.

Pervasive DataRush is ideal for ISVs, OEMs, SIs, and end users in industries such as healthcare, pharmaceuticals, financial services, telecommunications, oil and gas and utilities as well as Government agencies who are striving to improve data quality and implement timely analytics as they face increasing data volumes and complexity.

Pervasive DataRush is an embedded parallel dataflow platform that helps eliminate performance bottlenecks in data-intensive applications. Its expanded capabilities enable a broader range of users to cost effectively address the growing challenge and complexity of big data. It provides dramatically reduced runtimes for data preparation and analysis and enables the consumption of very large datasets without having to rely on sampling or the use of expensive, high-maintenance clusters.

The volumes of data continue to stress traditional technology architectures where the performance and scalability is not acceptable for supporting analytics and business intelligence. stated Mark Smith, CEO & EVP Research, Ventana Research.

Pervasive has addressed this need with DataRush which provides a new level of data processing to enable powerful historical and predictive analytics on big volumes of data.

With the ability to dynamically scale to fully utilize multicore technology, Pervasive DataRush-enabled applications can quickly overcome typical data preparation bottlenecks involved in cleansing, aggregating or de-duplicating data. This new release extends the platform to perform data mining and predictive analytics, allowing organizations to extract timely knowledge from their large data sets and enable more informed decisions.

The scalability of Pervasive DataRush across cores and data sizes,  its high throughput, extensibility, ease of implementation and cost-efficiency, allows users to future-proof their applications to automatically take advantage of increased core counts as multicore hardware goes from dual-core to 8, 12, 24 or 48 cores and beyond, said Ray Newmark, vice president of sales and marketing for Pervasive DataRush.  It takes care of complex parallel programming issues so developers can focus on their core challenges rather than on the intricacies of developing highly parallel multicore-ready applications.

Pervasive DataRush provides an innovative approach to high-speed data analytics, said Tony Galluscio, Healthcare Solutions Product Line manager, Harris Corporation.

The enhanced Pervasive DataRush capabilities include:

New core analytics library including: k-Means clustering, nave Bayes, decision tree (C4.5) and k-nearest neighbor classification algorithms

Expanded data preparation capabilities

New parallel analytic nodes for KNIME

Java SDK to extend and customize data preparation and analytics capabilities

JavaScript-based scripting interface

Pervasive Software helps companies get the most out of their data investments through agile and embeddable software and SaaS services for data management, data integration, B2B exchange and analytics.