I think the results are pretty clear, in the higher spec machine we saw viz compute and extract times almost halve. Extracting data in Tableau Desktop is a common practice and can often be rather time consuming, so it follows that if we’re working with Tableau all day every day, we want this to complete as quickly as possible.īetween each test I shut down and restarted Tableau Desktop, there were no other Windows applications running on the VM. Using a 94MB CSV file containing a list of all UK Postcodes, I extracted the data into a local TDE saved in C:\Temp. I know is a silly thing to do but I wanted to see how long it would take to render. Using a TDE file of 1.5GB in size and 21.3m rows, I dragged a dimension onto Rows, which will produce a list of 1.19m UK postcodes. I settled on two tests to perform in each scenario: TABLEAU DESKTOP PROFESSIONAL WINDOWS 10In my first scenario, I set my Windows 10 virtual machine at 1 single vCPU and 2GB RAM, and for the second scenario, I boosted the spec up to 4 vCPU and 8GB RAM. I decided to test Tableau’s performance in a Windows virtual machine in Parallels on my Mac, switching up the CPU and RAM and then comparing the time taken to do various tasks, for example, loading a datasource, viewing number of records, taking an extract etc. TABLEAU DESKTOP PROFESSIONAL FREE
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