How does concurrent user access affect performance?

< 1 min read

Concurrent user access affects performance because multiple users trigger queries simultaneously.
In one project, 50 users interacting with the same dashboard caused slower visual rendering.
DirectQuery dashboards were particularly affected since each interaction hit the source database.
Import mode also experienced memory and CPU pressure when many users loaded large datasets.
Heavy visuals and slicer interactions amplify the impact under concurrency.
We optimized by reducing visuals per page and using aggregated tables.
Scheduled refreshes were staggered to avoid peak-hour conflicts.
Overall, high concurrency requires careful design and resource planning to maintain responsiveness.

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