I haven't used another solution. This is my first as we are just growing this space within our organization.

I still use several other solutions for data science including RapidMiner 9 and Weka. I have also been using Octave and MATLAB for modeling.

I use the Community Editions for these other products, so I have restrictions when it comes to things like the size of the dataset. When I need to be free of restrictions then I use Dataiku Data Science Studio.

I have previously worked with Alteryx. I switched for these reasons: 

• Big Data tools like Python and Hive are already supported
• Cloud-based processing
• Better value for money for client.

We did not use other solutions before switching so much as we are using a few different solutions together. We use Knime and Alteryx for data science and analytics. I just use Dataiku for data migration for now. I just started using Knime, but I'm most familiar with Alteryx because I have used it for one-and-a-half-years to practice ATL (Active Template Library) on my data. Alteryx is somewhat the same as Knime, but it is more user-friendly.