Internet of Things (IoT)

The IoT data tsunami is upon us. Can you afford to pay 80% more to store potentially zettabytes, or possibly exabytes, of IoT data if you don’t have to?


Internet of Things (IoT)

The IoT data tsunami is upon us. Can you afford to pay 80% more to store potentially zettabytes, or possibly exabytes, of IoT data if you don’t have to?

The Internet of Things

Between 30 and 50 billion IoT devices are expected to be interconnected by 2020, and they’ll generate tens to hundreds of zettabytes of data to be stored, depending on which research company’s predictions you believe. So what’s your game plan?

If you’re still figuring it out, consider this: you can pay about 80% less compared to AWS S3 to store your IoT data if you use OSS hot cloud storage. We simply charge a flat, per-gigabyte fee with no egress or API fees. And we’ve done away with pricing tiers, because they complicate the math and potentially slot your data into mismatched, expensive tiers that can leave you bleeding cash.

In the zettabyte era, to say that IoT is going to require a lot of data storage is obviously an understatement. But the bottom line is this: if you have a choice, why not pay a fraction of the going cloud storage rate as your IoT data volumes start piling up?


To analyze data, you need to save data

The Internet of Things (IoT) is rapidly changing the world. Its applications range from helping manufacturers know when parts need replacing—often, even before they need replacing—to allowing utility companies to predict regional power consumption requirements. However, extracting business insights from IoT endpoints is about more than just squirreling away lots of data, then trying to figure out which of it is relevant. It requires that you consider the context of the data when it was collected before you correlate and analyze it.

Context Makes The Differences

Temperature changes, humidity, time of year, time of day, the amount of time transpired—all these variables impact what your data is really telling you. That means that the operational decisions you make on that data can be well- or ill-informed, based on whether or not you’ve factored context into your analysis.

Storing all the data collected by IoT sensors and other sources over time provides the context you need for real business transformation and smart decisions. But we’ve entered the zettabyte era, and we’re talking about tens or even hundreds of zettabytes of IoT data alone being generated by next year. Just how much data is that, anyway?

Trips To The Moon and the Great Wall of China

Consider these anecdotes shared in a recent Visual Networking Index forecast from Cisco, which predicts a 47% CAGR in machine-to-machine growth through 2022 (chart): If each terabyte in a zettabyte were a kilometer, one zettabyte would be equivalent to 1,300 round trips to the moon and back. Multiply that by 10, and you’ll start to get an idea of the volume of IoT data we’re talking about.

Put another way, If each gigabyte in a zettabyte were a brick, 258 Great Walls of China could be built. Or 2,580 Great Walls if we’re talking 10 zettabytes. Or 25,800 Great Walls at 100 zettabytes.

You get the picture. However you characterize it, IoT data is a whole lot of data. Brace yourself for it. And plan on paying less to store it all with OSS.



The volume of data generated by IoT devices has entered the zettabyte era. Paying 80% more to store that much data using AWS S3 will add up fast, and monumentally. Put that money towards analytics and driving business value instead.


Faster performance speeds than the competition means you get fresher IoT data for correlation, analysis, and decision-making. Decisions made on even slightly outdated data can wind up being poor decisions. Fast data access makes all the difference.


OSS delivers eleven nines (99.999999999%) of object durability. Simply put, you'll never lose any of your IoT data.


You’ll never run out of storage capacity for your IoT data, because OSS is infinitely scalable.

No Tiers

At OSS, all of our storage is hot storage, available to you instantly, at the same low price.

Industry Use Cases

Healthcare and Life Sciences
IoT data applied to healthcare has the potential to save lives and improve patient quality of life, in part by enabling people to self-monitor and manage certain aspects of their own health. In hospitals, IoT biometric monitoring devices make it possible for health professionals to oversee an entire ward at the glance of a tablet screen. This real-time monitoring aggregates data that can be analyzed to provide a holistic view of patient health and can identify trends that may need medical intervention.

Oil and gas companies make use of IoT devices to measure along drilling lines so they can adapt the speed and pressure of drilling procedures to optimize the process and cut costs. In addition, smart energy grids are becoming popular and rely on IoT devices to enable communication between the grid and the consumer, optimizing the resources where possible. This not only reduces costs but saves energy and potentially reduces the carbon footprint.

Law Enforcement
IoT data and video collected from devices such as body-worn cameras (bodycams) and surveillance cameras are contributing to the vast amounts of data that law enforcement agents have to analyze. But it’s working, as digital forensics and data analytics continue to shrink the window between crime and capture.

Driverless cars
The idea of self-driving cars has always intrigued people, but until recently has been the stuff of TV shows and movies. Thanks to the IoT, however, the concept is becoming a reality. Driverless cars use the connectivity of multiple devices through the Internet to update their algorithms based on user data. They require an enormous quantity of data collection and processing. Using IoT, each driverless car shares information about the road and how to navigate around obstacles with other vehicles. All this data is also uploaded wirelessly to the cloud for analysis and is put to use improving the automation. That’s where OSS hot cloud storage comes in: serving as a data lake for IoT data–including all its variables needed for context–for the ongoing, continual improvement of the operation and safety of automated vehicles.

Home healthcare
IoT has made a significant impact on emergency home healthcare, which is important for people living with life-threatening issues. For example, a report from the Centers for Disease Control & Prevention found that nearly 47% of heart attacks occur outside the hospital, suggesting that people with heart disease often don’t act on early warning signs. Connected medical wristbands can detect early symptoms and automate a call for help from a smartphone. The natural place to store all this data is in the cloud, which scales infinitely. And when you use OSS hot cloud storage, there’s no need to worry about any conflicts with privacy regulation. OSS has been certified to comply with Federal HIPAA (Health Insurance Portability and Accountability Act) and HITECH (Health Information Technology for Economic and Clinical Health Act). And we encrypt your data at rest and in transit. OSS employees will never access your content, and couldn’t read it if they did. You control the encryption keys and who has access.

Public safety
IoT has significant application in the public safety arena. Local governments can gather all kinds of relevant data from bodycams and streetlights with panic buttons and security cameras, for example. Wearable sensors on police uniforms can detect and instantly notify central agencies when a police officer removes a gun from its holster, allowing for quicker deployment of backup in escalating scenarios. Law enforcement can store and organize IoT surveillance data in the cloud, and access, share and query it with greater ease and accuracy.

This data, along with extensive digital forensics and facial recognition files, requires the infinite scalability and fast accessibility that OSS provides. There’s no worrying over what data you’re likely to need more or less quickly than other data. You simply get hot storage for 80% less than AWS S3 and performance that is faster than the competition.

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