Sensor technology has come a long way since the introduction of the barcode. Smart sensors and RFID technology are changing the way we see the world. Integrated with the latest mobile and wireless communication technology, the simple barcode has evolved into a global network of connected, intelligent devices.

The impact is evident across all industries. For example, Healthcare and remote patient monitoring, transportation and Mobile Resource Management, environmental monitoring for Tsunamis, earthquakes and avalanches, as well as security monitoring and industrial automation applications.

However, delivering effective business applications and services can be challenging. Existing solutions based on a data warehouse struggle with the sheer volume of sensor and geographical data, particularly as the information must be acted upon in real-time. Conventional middleware applications for sensor event connectivity are unable to offer the performance and flexibiility required. Also, applications for sensor network and intelligent device networks tend to be complex, expensive to deploy and difficult to upgrade and maintain.

SQLstream’s stream computing platform has been engineered specifically for processing huge volumes of real-time events. Data analytics, trends, patterns and exceptions can be identified immediately, even where the information is arriving from many different data sources and formats. Built on industry standards and streaming SQL, SQLstream dramatically reduces the time and cost required to deploy sensor network solutions, and to integrate with existing databases and applications.

Based on Relational Asynchronous Messaging technology, SQLstream provides an intuitive and powerful platform for processing dynamic and real-time streams of data (stream conputing). RAM enables any number of data sources and applications to be connected, providing the ideal real-time middleware solution for large scale sensor network applications.