Industrial Automation IoT surpasses other industries in data management and the connection of many devices that intelligently interact, including devices that each receive a large quantity of data from sensors, devices that gain intelligence by analyzing data, and devices that connect to share information. The industrial IoT distribution computing platform relies on embedded database software for sophisticated data management and data computing power. On the edge device, a massive amount of data must be continuously, in real time, stored, analyzed, and shared.
Development of IoT solutions is a complex undertaking. The integration of data from sensors to connected devices introduces major challenges and requires the integration of various software and hardware components. Devices must store data securely on flash media, manage data in memory, request data with standard SQL, and achieve high availability in real time. When it comes to data management, integration of all related software and hardware, scalability, high availability, and connectivity are the most significant challenges.
