Alteryx Analytics vs RapidMiner Studio

• Alteryx provides an integrated workflow management environment for data blending, analytics, and reporting. It is also very extensible to be connected to a variety of data connections including major databases (Oracle, etc.), analytics tools (R), and visualization tools such as Tableau through its plugins. Our department used Oracle and Tableau already and it was well integrated with Alteryx.
• The workflow authoring environment in Desktop is easy to use so that most of the users (if they are a bit skilled data developers or analysts) may not need the training to use its basic functions. Drag and drop interface and icons are intuitive to understand.
• When running Alteryx workflows, it is easy to monitor and track what's the progress by seeing percentages. It is helpful to balance and manage bandwidths of database servers, especially when to populate large data sets.

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• No need to script anything, and still doing modeling is amazing
• Easy to use by just dragging and dropping operators
• Can use the tool for data cleaning, data analysis, data modeling

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• Sometimes the desktop version of authoring tool crashes! It's been unstable in the previous versions but gets better. Even if it doesn't crash, it used to be slow or not responding.
• When running several version of database drivers in local machine or server, it is tricky to set up database connections. Often you have to figure out it by googling the problem and solution. There are not many knowledge bases from Alteryx.
• Alteryx project file creates .bak file automatically. It is useful to prevent for the purpose of back up, sometimes it's not necessary. But it is not changeable for some reason. By default, it always creates backups.

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• RapidMiner is great for people with no programming experience but I have found that certain tasks that would normally take very little code to do can often become very convoluted with RapidMiner. I am talking about tasks like filtering and subsetting and other transformation type tasks.

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• It gets the job done fast.
• It lends itself well for people with a less-technical aptitude to understand the data process.
• It empower the user to come up with any possible solution to a problem.

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• So far we used the free version.
• It did all what we needed.
• We ask the client to purchase a version for deployment

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