Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!Get Fabric Certified for FREE during Fabric Data Days. Don't miss your chance! Request now
Hello
I'd like to understand why model load times differ between Power BI Desktop and Power BI Services. In my model, the full load in Power BI Desktop takes about 8 minutes, but when I start a model refresh in Power BI Services, this process takes more than 50 minutes. Is there a specific reason for this variation in load times? I would appreciate any guidance in that regard.
Thank you.
Solved! Go to Solution.
Hi @Syndicate_Admin ,
From what I understand, I think there are these reasons why it takes longer to load the model in Power BI service than it does on Power BI desktop.
First, Power BI Desktop utilizes the resources of the local computer on which it is running, which may have significant computing power dedicated to the task at hand. On the other hand, Power BI Services runs in a shared cloud environment, where resources are spread across multiple tasks and users, which can result in longer processing times. Second, when refreshing models in Power BI Services, the service must establish a connection to the data source over the Internet. Network latency, firewall rules, and the performance of the data source itself can significantly impact load times. In contrast, Power BI Desktop may run in a more controlled local network environment, allowing faster access to the data source. Finally, the overall load on the Power BI service at the time of a refresh can affect performance. During peak hours, loading efficiency may be reduced because the service is processing a large number of operations.
Best regards,
Albert He
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Hi @Syndicate_Admin ,
From what I understand, I think there are these reasons why it takes longer to load the model in Power BI service than it does on Power BI desktop.
First, Power BI Desktop utilizes the resources of the local computer on which it is running, which may have significant computing power dedicated to the task at hand. On the other hand, Power BI Services runs in a shared cloud environment, where resources are spread across multiple tasks and users, which can result in longer processing times. Second, when refreshing models in Power BI Services, the service must establish a connection to the data source over the Internet. Network latency, firewall rules, and the performance of the data source itself can significantly impact load times. In contrast, Power BI Desktop may run in a more controlled local network environment, allowing faster access to the data source. Finally, the overall load on the Power BI service at the time of a refresh can affect performance. During peak hours, loading efficiency may be reduced because the service is processing a large number of operations.
Best regards,
Albert He
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly
Check out the November 2025 Power BI update to learn about new features.
Advance your Data & AI career with 50 days of live learning, contests, hands-on challenges, study groups & certifications and more!