What is IoT and why is it important?

IoT devices range from temperature sensors to flow control systems to door access systems to video surveillance and much more. It gives us the ability to see historical data of environmental and security systems. By analyzing the data over time, we can begin to predict how the infrastructure might act under the current conditions.

When it comes to monitoring IoT data, how the data is stored and analyzed is key. The first question you should consider is what IoT data is important. Then, how long should you store the data and how is it analyzed. One of the fad technologies with IoT data is storing it in a Big Data repository. However, if the data just sits there and is not crucial to your overall monitoring solution, then it’s just taking up disk space.

DataMAPt lends flexibility and ease of use to its unique architecture by using a proprietary database design. Built from the beginning with this database approach, DataMAPt is completely comprehensive and a fully cohesive monitoring tool. The DataMAPt monitoring system was developed on the basis that we didn’t know what would need to be monitored in the future. This design allows us to add any type of device into the system without having to write new code.

Why is having a database perspective important?

Being able to monitor all systems that make up your infrastructure including IoT devices allows DataMAPt to report on more data than traditional monitoring systems. Many companies have multiple disparate systems doing the monitoring of temperature sensors, flow control and security access to name a few. Just because you can pull door access data doesn’t mean it is worthwhile if it’s not tied into a security monitoring system.

DataMAPt’s unique blend of database and cloud orientations can quickly and easily display the entire stack in one location.

Having a database perspective is unique and very efficient. It is perfect for providing information from various sources in concise and easy to read formats. Databases do not care where the numbers came from or how they were retrieved. DataMAPt’s database format can collect data from all areas of an infrastructure in the same format. From there it becomes very simple to analyze and display it all in one graphical interface.

DataMAPt’s unique blend of database and cloud orientations can quickly and easily display the entire stack in one location. DataMAPt’s expertise in database technology also allows for increased data retention and trend locating, so issues, or opportunities can be discovered like no other tool on the market can do.

Why is this important to IoT?

This unique and adaptable ability is useful for emerging IoT technology because there is no limit to what objects can be added to DataMAPt. If an object, whether it is a fridge, lightbulb, camera, or truck, can be accessed, DataMAPt can monitor it.

Every object type, from hundreds of companies and manufactures come into play when discussing the Internet of Things. As the use of this technology grows, both for consumer, and for businesses, the players in that market will also increase. For example, a business may employ two separate smart vehicles using different methods of IoT networking. DataMAPt does not have to distinguish between the diverse types and formats of data returned. It can place both vehicles on the same dashboard screen, using the same data presentation, making it easier for that business to keep track of its cars.


There is an excess of RMM tools out there, many of them the same. Multiple tools combined, carrying out similar functions leads to disjointed programs, and incomplete data. DataMAPt is unique in its construction. Built database-centric from the ground up, DataMAPt can deliver on its promise of a “single pane of glass” view because it handles data the same, no matter which part of the IT stack the data is coming from. It could be a server, a laptop, or a sensor. As the IoT horizon grows, DataMAPt is well equipped to utilize all of it, and provide the best monitoring solution to any business.