Java

Pervasive DataRush^TM is a 100% Java framework that enables Java developers to quickly create scalable data-intensive applications. Because it is built on the Java Platform, Pervasive DataRush supports a wide array of operating systems including Windows, Solaris, IBM AIX, Linux, and HP-UX. In addition, Pervasive DataRush fully supports multicore processors from AMD, IBM, Intel, and Sun.

High Performance Data-intensive Application

Graphical Composer

DataRush Modules

• DR DataMatcher
• DR Recommender
• DR Profiler
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User-Defined Modules

• Data preparation
• Data analytics
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DR Core Data Prep Library

DR Core Analytics Library

User-Defined Libraries

 

DR SDK

                                                                

Pervasive DataRush Parallel Dataflow Engine

At the heart of every Pervasive DataRush-enabled application is the Pervasive DataRush Parallel Dataflow Engine. This embedded engine transforms the way your application handles large volumes of data. Developers can now build data-intensive parallel applications without specialized knowledge in parallel programming such as threading, concurrent memory access, deadlock detection, data workload partitioning/buffering, or any other complex aspect of parallel thread execution. The Pervasive DataRush Parallel Dataflow Engine takes full advantage of multicore platforms, delivering outstanding performance on a single server. The Pervasive DataRush engine processes data according to a developer-defined dataflow graph.

Dynamic Dataflow Graphs

The essence of dataflow programming is the execution of a graph of computational nodes while data flows through the graph. As the data is streaming, only data required by any active operation needs to be in memory at any given time, allowing very large data sets to be analyzed. Besides offering the potential for scaling to problems larger than available memory, dataflow graphs exploit multiple forms of parallelism.

Pervasive DataRush SDK and Core Libraries

The Pervasive DataRush SDK and Core Libraries allow the developer to create dataflow graphs on the fly by composing a mix of Pervasive DataRush operators and custom operators that are written by the developer. The Pervasive DataRush SDK provides an easy-to-use API for dataflow graph composition and execution. This API allows programmers in Java, Scala, Jython, JRuby, and other languages that target the Java Virtual Machine (JVM) to easily create complex, data-intensive applications. The developer is in full control over what operations are performed on the streaming data.

KNIME Graphical Composer 

The KNIME Graphical Composer is a high-level visual interface that lets you quickly build high-throughput analytics models that leverage the DataRush Parallel Dataflow Engine. Users drag-and-drop nodes onto a workspace to extract, cleanse, enrich, aggregate, load, and analyze their data.

Modules

Finally, Pervasive has built modules using the Pervasive DataRush Java SDK and Core Libraries to provide specific functionality. For example, the Pervasive DataMatcher encapsulates the functionality required to build a scalable data-matching solution. Of course, developers can also build their own reusable modules.

For more information on the Pervasive DataRush technology, please visit the Developer Corner or review the Technical White Paper.