With this information, you can predict whether the performance will be worse than an average modern laptop. If you do not have access to this information, ask a small virtual machine running on the same host server and run the Task Manager: in the Performance tab, you will see the CPU model and the clock rate. If you will have these limited choices, you should collect information about CPU model and clock of your host server as soon as possible. Unfortunately, these parameters are not so relevant for the performance. ![]() The problem of using a virtual machine for a Tabular solution is that oftentimes the hardware has been already selected and installed, and you can only influence the number of cores and the amount of RAM that are assigned to your server. ![]() The first question is whether you can choose the hardware or not. A very complete and detailed hardware sizing guide for Analysis Services Tabular is available in the whitepaper Hardware Sizing a Tabular Solution (SQL Server Analysis Services), so the goal of this article is to provide a shorter quick guide that will help you understanding the issues that affect many data centers when they have to host a Tabular solution. As you will see, the problem is not the use of a virtual machine by itself, but the technical specs of the underlying hardware. Most of the times, the reason for that was wrong hardware sizing, especially when the server was in a virtualized environment. ![]() Worse, they are lower than in the development environments. A very common issue is that, when going in production, performance were lower than expected. Since the introduction of Analysis Services 2012, I helped several companies adopting the new Tabular model in their solutions.
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