In my company, I use Databricks 90 percent of the time.

We are also trying Cloudera Workbench and I think that in terms of ease of use, it is somewhat better than Anaconda. However, I wouldn't swap our users because using it is not massively different.

This was our first experience with the Jupyter notebook and I do not know of any competing solutions.

We did previously use a different solution. We switched to this solution because it offered higher security.

I have used quite a few products in this category and sometimes I choose one or another depending on what I think seems best for me at the time. I used Notebooks by Jupyter. I've used the R Markdown, which is on the cloud, by RStudio. I've used Tableau software. I used Power BI, which is Microsoft. I used QlikView by Qlik. Those are the main ones that I use more often.  

The main differences are the designs are different and sometimes the features or focus. Each of these products is developing quite well from one release to another. Power BI especially is picking up. One or two years ago it was not very developed but now it seems to be more mature and competitive. I can see why people who are working within a Microsoft environment tend to use Power BI because it is practically free and it is part of Office 365. 

Tableau is sleeker than QlikView and it looks better. Both have different options, but in general, I can not really pinpoint why in some situations I prefer Tableau over QlikView. On the other hand, it was easy to point to why I was using Anaconda.  

Prior to Anaconda, we were using SAS for some of our predictive analytics.

The main reason we switched is because of the licensing cost that is incurred for these kinds of specialized software solutions. In addition, functionality is limited to predictive modeling and some specific types of analysis. In Anaconda, there are a lot of other aspects that you can try. 

We did not use a different solution.

Previously, we were using RStudio, PyCharm for data science domain, but with this software, we've got a perfect platform to teach data science.