A Comparative Study of Data Sharing Standards for the Internet of Things

Although Industrial and Consumer IoT applications typically require different levels of performance, security, fault tolerance, and safety, they are both data-centric and share the same underlying architectural pattern — the Collect | Store | Analyze | Share pipeline. As a result, data sharing is a crucial architectural element that can make the difference between the success and failure of an IoT application. The challenge for industry is that there is currently a proliferation of data-sharing and messaging protocols, no set standard, and – until now – no qualitative and quantitative analysis to provide insight and direction.

Read PrismTech CTO Angelo Corsaro’s latest article in the Cutter IT Journal which aims to help IoT practitioners understand the set of data-sharing requirements they must consider and guide them in the selection of viable technologies to satisfy those requirements by registering for FREE at Cutter Consortium