Anaconda Reviews

l began using it because it was open source and it was free and I knew other people who were using it. I just installed it and I got on with my testing. It was very useful for me because I could save my coding and present it to my assessor.  

There are several things that I think are valuable in the product. My first impressions were the product was fairly responsive, sleek and had a beautiful interface that was pleasant to use. It helped me to be able to easily share code between me and my colleagues.  

I had R installed at that time as well. It worked with R as well as Python. R is good for statistics and visualization. I've used R with Tableau as well and for my situation at the time, Anaconda was a bit superior in respect to this integration.  

The product can be improved in a few ways. It would be possible to simplify the installation although it was not a problem in my case because of my experience. One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known that I have seen. I do not really feel it is as known as it should be in our market.  

The features I would like to see in the next release are more packages. That is, it would be nice to have more libraries added by default.  

I have used it in one of my assignments from the university for several months.  

I have never experienced bugs or crashes or loss of work, so it is stable.  

I have not seen any issues with scalability.  

I have never yet had to contact technical support for Anaconda or Continuum Analytics.  

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.  

The initial setup really only takes minutes, but it is not an easy application to install. I have a technical background so that is not a problem for me. I have also worked in IT support. But I do see why some people might encounter some issues during the installation. Some issues might occur because it is a large installation file. I can not really remember if I needed some dependencies like .NET installed or something else. I probably can't remember that because I probably already had the necessary dependencies installed already. I do install quite a few products on my machine and there is a good chance that some other product already required what was needed so it was already there.  

The product is open-source and free to users.  

My only advice to people considering this type of solution is just to use Anaconda. It is a good product. Other products are good as well, but this is one you should try in this category.  

On a scale of one to ten where one is the worst and ten is the best, I would rate Anaconda in comparison to other products as between nine and ten. It is a very good solution. I will rate it a nine as there is always room for improvement.