Idea: An Alteryx version for Mac OS X sounded like a nice idea. Although there are options for using bootcamp with windows 7-8 or some virtualisation software as mentioned in a community post Rationale 1 ( Competitors do it): First of all there is no need to neglect a customer segment using Mac's. • Rapidminer Studio comes with a dedicated OS X version, • Knime has • Weka has as well • SPSS Modeler is Windows only but SPSS Stats is Mac OS X compa tible. Seems SAS was compatable in the last decade, but they dropped it. Now SAS is not OS X compatible but still with the 'SAS OnDemand' version Mac users can easly get a hands on experience. Rationale 2: The Mac Pro Beast has with the help of dual ATI graphics cards. It would be awesome to install Alteryx on one. Well the idea is to use Alteryx on Mac with high performace. I thought the hypervisor slows down a bit due to reduced resource usage. Idea: An Alteryx version for Mac OS X sounded like a nice idea. Although there are options for using bootcamp with windows 7-8 or some. Alteryx free download - Alteryx Inspire Europe. Best Video Software for the Mac How To Run MacOS High Sierra or Another OS on Your Mac Best Graphic Design Software. But if it's not your case I understand. And in terms of additional high performance, I mean directly reaching GPU from Alteryx. Best to do this on Mac's with double GPU's. Obviously there is a possibility of running Spark on Mac Os X and hosting alteryx on virtual Windows environ then connecting two together with in database tools. (I'll try this and note down my results in a month or two at most) Best. I use a latest generation Mac Pro with the dual ATI GPUs, and see quite impressive performance through my VMware hypervisor. The newer generation hypervisors paired with recent Intel chips are quite good at passing instructions directly to the hardware, and not having to emulate. That being said - for GPU passthrough, not all hypervisors handle this well. But I think we are getting ahead of ourselves as none of the Alteryx native tools do anything on GPU to my knowledge. Your idea for leveraging an instance of Spark on the same machine is interesting - im curious how it works out performance wise!
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