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SoftwareAG Introduces Internet of Things Solution Accelerator

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SoftwareAG Introduces Internet of Things Solution Accelerator


June 03, 2014

By Mandira Srivastava, TMCnet Contributor

Software AG, a provider of enterprise management software, recently launched its Internet of Things (IoT) Solution Accelerator, a tightly bundled set of smart tools that help business leaders gain actionable insights from different, disparate data sources in real-time enabling them to make better business decisions.

The new solution enables data analysts to easily and quickly visualize and analyses the performance of their devices individually or together.

The IoT Solution Accelerator includes out-of-the-box, real-time, advanced streaming analytics; universal, low latency messaging;  in-memory processing of hundreds of terabytes of data;  and real-time HTML5 dashboards that run anywhere in portals, websites. It includes connectors to popular IoT providers such as Axeda’s (News - Alert) Machine Streams and AT&T’s M2M platform. In addition, it includes a Project Development Kit (PDK) and a solution guide. It has its capability to combine both real-time data and historical data at the same time.

John Crupi (News - Alert), vice president of Visual Analytics, Software AG, said in a statement, “Forward-thinking companies are already recognizing the potential benefits of a global system of internet-connected things, but struggle with the challenge of how they can manage, control, and act upon the anticipated tsunami of data and events that all this will undoubtedly create. The Software AG Internet of Things Solution Accelerator simplifies the tasks necessary to store, visualize and use the growing connectivity and influx of data.”

The Software AG IoT Solution Accelerator helps companies build an integrated, comprehensive platform for the entire IoT infrastructure with robust, end-to-end security.

Dan Shey, practice director, ABI Research (News - Alert), noted, “The challenge will not always be about the volume of data, but the different technologies needed to gather, store and analyze the data. Nowadays, new database technologies are often built on Hadoop, but it is not designed and hence is slow for real-time analyses.  With connections reaching nearly 24 billion ‘things’ by 2020, the resulting incremental information promises to shape new business models, drive business process efficiencies, and help reduce costs and risks.”

Edited by Rachel Ramsey

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