"The rapid growth in data volume and shrinking data processing cycles confronting business applications pose increasingly intractable performance and scalability challenges," says Rick Burns of the Winter Corporation. The advent of multi-core processors is revolutionising the parallel processing hardware economics, but building parallel software remains complex, time-consuming and error-prone. What users and developers need today, adds Burns is "parallel software tools that revolutionize software technology and economics, to allow them to easily and inexpensively exploit multi-core technology to load, process, and analyse growing data volumes faster"

Pervasive Software(R), a global player in embeddable data management and integration software, today announced its offering for Java developers wanting to tackle the multi-core hardware/software divide: Pervasive DataRush(TM). Pervasive DataRush provides a 100-percent Java framework that lets developers create hyper-parallel data-intensive applications. The framework insulates developers from the complexity of concurrent programming, automatically scaling to leverage additional SMP cores while managing threading, queuing, memory management and deadlocks, claims the company. Pervasive DataRush provides connectivity to a range of data sources and targets and will incorporate an Eclipse-based development studio for rapid design, testing and debugging.

"Pervasive DataRush has been the compute-intensive execution engine inside our Pervasive Data Profiler(TM) product for more than two years, and now we're ready to open up the power of the development framework to the entire Java community," said Mike Hoskins, Chief Technology Officer of Pervasive.

Currently in Beta release, Pervasive DataRush is available for free download here