Contents
Which database is not suitable for IoT?
Traditional database systems used Structured Query Language (SQL) database which has supported all the user requirements along with simplicity, robustness, flexibility, scalability, performance. But the main limitation they are facing is their static schema which is making RDBMS not suitable for IoT applications.
What is the difference between M2M and IoT?
The difference between Machine to Machine (M2M) and The Internet of Things (IoT) can be confusing….Differences and similarities.
| M2M | IoT |
|---|---|
| Mostly hardware-based technology | Both hardware and software-based technology |
| Normally communicate with a single machine at a time | Many users can access at one time over the internet |
Is Scada an IoT?
SCADA or Supervisory Control and Data Acquisition is, as the name suggests, a system of software and hardware that allows industries to control industrial processes locally or at remote locations, monitoring, gathering and processing real-time data. So, SCADA is much like IoT.
How to select the right IoT database architecture?
The right IoT database depends on the requirements of each IoT project. The first step to select a database is to factor in critical characteristics of IoT when selecting among database architectures.
How to choose the right database for the Internet of things?
Choosing the right database platform (s) for IoT solutions is daunting. First, IoT solutions can be distributed across geographical regions. As opposed to a centralized cloud-based solution, more solutions are adopting a combination of fog computing at the edge and cloud computing.
What are the different types of IoT data?
IoT data types are as varied as the use cases themselves, but they can fall into several categories, including: Device metadata. This might include the device ID, a unique identifier for the physical device; the device class or type; the device date of manufacture; hardware serial number; and current configuration or version.
How does the Internet of things system work?
IoT solutions depend on collection and processing of data from connected devices, making intelligent decisions such as triggering notifications or actions, computing real-time analytics, gleaning patterns from historical data, and so on.
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