Objectivity Introduces ThingSpan database software

September 26, 2015 – Objectivity introduced ThingSpan, a information fusion platform that simplifies and accelerates any organization’s ability to deploy Industrial Internet of Things (IoT) applications to enhance value derived from Big Data and Fast Data. 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.

Fast Data differs from other data in that it is generated in high volume and its value is time-sensitive. However, most systems today simply do not have the power or capacity to cope with the increasing volumes of sensor-based Fast Data available to make real-time decisions. As a result, many organizations struggle to use technology components such as NoSQL databases, streaming data systems, distributed messaging, Hadoop, and others to custom-build fusion solutions for the Industrial IoT.  

Features

• Sensor-to-insight data flow for customers involved in Industrial IoT by organizing data about people, locations, events, and devices around object- and association-oriented approach.
• A way to build, deploy and manage advanced information fusion solutions through Spark-based abstraction
• A reference architecture base (or foundation) that leverages key open source efforts – Spark, HDFS, YARN – to support an open system for building information solutions.