Objectivity’s ThingSpan Infuses Big Data with Fast Data

ThingSpan

Objectivity, Inc. yesterday released ThingSpan, the first purpose-built information fusion platform that simplifies and accelerates an organization’s ability to deploy Internet of Things applications to enhance value derived from big data and fast data. Available October 31 of this year, ThingSpan is a “massively scalable distributed platform for information fusion designed specifically for the complex issue of extracting actionable insights from fast data and architected to integrate with major open source big data technologies”, according to the company.

With the explosion in data collection, specifically via massive sensors networks, companies are having trouble in getting industrial IoT applications into production, and as a direct result, most organizations struggle to effectively use the data they collect from these sources in their business operations. Fast data relates to data that is created in large quantity and is time-sensitive in nature. In order to make real-time decisions, companies need to deploy platforms that can deal with this kind of fast-moving data. However, very few organizations have the technical capabilities to accomplish this.

As a result, companies have trouble using technology components such as NoSQL, streaming data systems, distributed messaging, Hadoop, and others to build custom fusion solutions to properly work with industrial IoT.

Jay Jarrell, CEO of Objectivity, Inc. notes: “Since our founding, Objectivity has been pursuing data management challenges for mission-critical applications involving the most complex data sources. Over the last several years, Objectivity has been working with leading systems integrators and organizations to build and deploy advanced data and information fusion applications. ThingSpan is a new approach based on our experience to enable organizations to quickly and easily gain actionable insights from their Fast Data. Our goal is to help our customers accelerate time-to-production of fusion applications by providing key capabilities in the form of an information fusion platform.”

ThingSpan has three main components that set it apart from other like solutions in the industry, including:

  • An improved sensor-to-insight data flow for users involved in industrial IoT by organizing data into different sectors, including people, locations, events, and devices
  • An easier and quicker way to build, deploy and manage advanced information fusion solutions through Spark-based abstraction
  • The ability to leverage key open source efforts via a reference architecture base, including Spark, HDFS, and YARN in order to support an open system for building info solutions

Jin Kim, VP of Marketing and Partner Development at Objectivity, Inc. adds: “ThingSpan focuses on providing the pieces necessary in a platform to easily build and deploy production information fusion applications. In order to unlock the transformative potential of the Industrial IoT, Fast Data must be harnessed in an easier to consume form. ThingSpan delivers that power to any enterprise today by leveraging both our technology competence and those of major open source initiatives.”

If you’re going to be at Strata + Hadoop World in New York City next week, stop by booth #941 to check out a demo of ThingSpan.

For the original press release, click here.

Timothy King
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