In a workspace with numerous data streams, what is the primary downside of using calculated dimensions?

The primary downside of using calculated dimensions in a workspace with numerous data streams is performance. Calculated dimensions require additional processing power and resources to compute the values on the fly, especially when dealing with large datasets or multiple streams of data. This can lead to increased latency in reports and queries, causing slower performance overall. When there are many data streams involved, the computational load can magnify, potentially affecting the responsiveness and efficiency of the workspace.

In contrast, while setup, scalability, and maintenance are important factors, they do not impact the immediate effectiveness and speed of data processing to the same degree. Calculated dimensions can sometimes be straightforward to set up and maintain, and with proper design practices, they can scale effectively. However, performance issues tend to become a critical concern in high-demand environments, making it essential to consider the computational overhead associated with calculated dimensions.