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Hi everyone,
Our Power BI team built reports using standard OData web services from Business Central. These reports were working fine until we recently upgraded to "Business Central SaaS version 26.3."
Since the upgrade, the reports are extremely slow to load, and often timeout during refresh. No custom APIs or custom web services are in use — we are only leveraging standard pages exposed as web services (e.g., Customer, Sales Invoice Header, etc.).
Customer
Sales Invoice Header
I’ve checked for obvious issues like:
Any changes in the report design
Any modifications in BC (there are none)
But nothing stands out. Has anyone else experienced similar performance degradation with Power BI and OData after upgrading to v26.3? Any tips or tools to help pinpoint the bottleneck would be greatly appreciated.
Thanks in advance!
Hi Jinesh,
Performance issues with Power BI reports using OData web services after upgrading to Business Central SaaS v26.3 can be caused by several factors. Here are a few suggestions to help you troubleshoot and improve performance:
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Let me know if this helps! If the answer was useful, please mark it as helpful so others can benefit too. 😊
Best regards, Daniele Incalza
Hi, good day I hope this can help you, and give you some hints.
Power BI Business Central Report - Refresh Timeout... - Microsoft Fabric Community
Timeout Expired
Best Regards Gerardo
Using standard web services—or standard pages exposed as web services—in Power BI is not recommended. These pages tend to be slow, contain unnecessary code, and are not optimized for efficient data retrieval in Power BI. Moreover, this approach will no longer be supported in the future.
A much better approach is to develop Query objects and expose them as web services, or even better, create Query API objects and import them directly into Power BI.
After upgrading to v26.3, OData page services can be slow and time out. The recommended fix is to switch your reports to standard BC APIs (v2.0) or create custom API pages instead of using OData pages APIs are optimized for Power BI and perform much faster.
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