Hi, @Ro27
To connect to Google Big Query from Power BI Report Server, the need for a gateway depends on where the data resides and how Power BI Report Server accesses it. Typically, Power BI Report Server is an on-premises server for hosting Power BI, paginated reports, and so on. If your Google Big Query data needs to be accessed by a Power BI report server and can't be accessed directly over the internet (typically, because Google Big Query is a cloud service), you'll need an on-premises data gateway to facilitate this connection.
The on-premises data gateway acts as a bridge, providing secure data transfer between cloud data and Power BI Report Server. For more details on how the on-premises data gateway works, you can visit the on-premises data gateway documentation:
On-premises data gateway - Power BI | Microsoft Learn
Regarding pricing for using gateways, on-premises data gateways themselves have no direct costs associated with connecting to cloud services like Google Big Query. However, you must consider the infrastructure costs, if any, of hosting the gateway on the server or VM, as well as the operational costs associated with maintaining this setup. In addition, the costs associated with Google Big Query usage and Power BI Report Server should also be considered part of the overall solution cost.
For more insights into Dataflow Gen2 and its features, which may be relevant depending on your use case, you can explore Dataflow Gen2 pricing and features:
Pricing for Dataflow Gen2 - Microsoft Fabric | Microsoft Learn
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Best Regards
Yongkang Hua
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