The similarities are far too strong to ignore. Although the details are quite sparse, I would hazard a guess that these would have to share some of the properties that doomed bubble memory (which i actually played with quite a bit back in the '70s). They include: serial nature, which then leads to access time issues, and apparently destructive bit read, necessitating read-modify-write on EACH BIT during readout.
"This sounds like the magnetic bubble memory of the 70's. A good idea that never scaled out to be useful." Jack Peacock
I was thinking the same thing until I spoke with IBM who claims that the Racetrack Memory is still an active projects with papers published yearly about progress being made. Of course, only time will tell :)
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.