Which of the following are limitations of typical relational databases in managing plant data?

The limitation regarding the rapid storage rate of plant data in typical relational databases is accurate because these databases are often not designed to efficiently manage the high-speed data inputs generated by modern industrial processes. Plant data can come in at very high velocities, especially in real-time systems where sensors and devices continuously feed data.

Relational databases typically organize data in rows and columns, which can introduce overhead when attempting to store and process large volumes of data quickly. The architecture is not optimized for the rapid insertion of data that is characteristic of plant operations. As a result, performance can degrade significantly when dealing with the fast-paced data rates associated with industrial environments.

This limitation contrasts with systems designed specifically for time-series data, such as historians, which can ingest high rates of data and efficiently manage large datasets. Consequently, for applications where real-time data capture and analysis are critical, relational databases may struggle to keep up compared to specialized solutions better suited for such tasks.