Best Engineering Software for DataHUB+

The remarkable aspect of the Canary Historian is its versatility, functioning equally well on-site and across an entire organization. It allows for local data logging while simultaneously transmitting that data to your enterprise historian. Moreover, as your needs expand, the solution adapts seamlessly to accommodate growth. A single Canary Historian is capable of logging over two million tags, and by clustering multiple units, you can manage tens of millions of tags effortlessly. These enterprise historian solutions can be deployed in your own data centers or on cloud platforms like AWS and Azure. Additionally, contrary to many other enterprise historian options, Canary Historians do not necessitate large specialized teams for maintenance. Serving as a NoSQL time series database, the Canary Historian implements loss-less compression algorithms, delivering exceptional performance without the need for data interpolation, which is a significant advantage for users. This dual capability ensures that both speed and efficiency are maximized in data handling.

Develop or implement IoT solutions that integrate both modern and legacy machinery while facilitating connections among suppliers, customers, and a globally distributed workforce. Azure Industrial IoT is founded on the idea that innovative solutions and data should work together seamlessly using industry standards, effectively avoiding vendor lock-in. By enabling rapid asset discovery, providing exceptional global support, and leveraging extensive security knowledge from the chip to the cloud, organizations can achieve scalable outcomes. Maintain control over your IoT solutions while linking existing brownfield equipment and ensuring readiness for new technologies or assets in the future. Create industrial IoT systems that align with industrial devices and frameworks through the use of OPC UA standards. Enhance data interpretation with robust visualizations provided by Azure's managed platform services, open-source tools, and adaptable industrial data models available both on the edge and in the cloud, ultimately driving better decision-making and operational efficiency. This comprehensive approach enables a seamless transition to a more connected industrial environment.