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SAS Enterprise Miner Competitors and Alternatives

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Read reviews of SAS Enterprise Miner competitors and alternatives

MayankNarula
Senior Manager, Digital Solutions at a tech services company with 1,001-5,000 employees
Real User
Top 5
Dedicated data science for enterprise-level data collection and analysis but the UI should be enhanced

Pros and Cons

  • "Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
  • "The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

What is our primary use case?

Our primary use for this particular product is to provide it for a large medical research company. It is a research company that helps pharmaceutical manufacturers, distributors, and clinics with analysis. Our client collects data that they crunch to provide these types of companies information about trends in distribution and production within the pharmaceutical industry. They use RapidMiner to crunch that data.  

The results of the analysis of the data helps with pricing, it helps with determining volumes, it helps with projections, et cetera. The client has a global license for RapidMiner, so here in the Middle Eastern branch, they use the same product as they do globally.  

What needs improvement?

I think it is a fairly straightforward interface generally. It is an easy-to-use solution compared to SAS Enterprise Miner, for example.  

On the other hand, compared to some other products, maybe the UI could be enhanced. The visual interface could have something like the-drag-and-drop features which Alteryx already supports. Some of those additional features can make RapidMiner a better tool and maybe more competitive or advanced.  

For how long have I used the solution?

We have been working with the product for maybe two years now.  

What do I think about the stability of the solution?

Stability is good with this solution.  

What do I think about the scalability of the solution?

Scalability is not really a concern with RapidMiner. The implementation that I have seen of this product for our client now is very sizeable. It scales very well.  

Which solution did I use previously and why did I switch?

I had previously used other solutions but not as a part of this company. It was a matter of who I was working for.  

How was the initial setup?

The initial setup is something that is supposed to be straightforward according to the people who implemented the solution. I was not part of the setup directly, so I don't know how complicated that is hands-on and so I'm not sure exactly what is involved or the exact amount of time it might take. The initial data mounting might be a big task when it is done globally as it is for this client.  

What's my experience with pricing, setup cost, and licensing?

The current licensing cost is advertised on the website. The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license.  

Which other solutions did I evaluate?

I used to work with a company where we sold a variety of products as system integrators. So I compared some product because we had to evaluate them to know the advantages and differences. At that time, we got to the stage where we were signing up with Alteryx as a partner.  

So I was in touch with those Alteryx guys and wanted to also compare their product with SAS Enterprise Miner, who we already partnered with, and with RapidMiner as well.  

A couple of customers were already using RapidMiner and we were in the process of partnering with Alteryx. We have to know the other products even if it is through secondary research in addition to what the vendors are presenting.  

What other advice do I have?

On a scale from one to ten where one is the worst and ten is the best, I would rate RapidMiner as around a seven. I choose seven because of the UI things and other parts of the product that might be improved. RapidMiner is more of an enterprise product. Here, in this region, most people like a packaged solution like Alteryx which covers more. Alteryx is also more attractive to many users because it is cheaper and easier to use from the perspective of the user interface.  

With Alteryx or Tableau, for example, you can just pick up data sources and then start EDL (enterprise data lake). It takes more effort to bring the data on to the data mart for RapidMiner and other enterprise products in the traffic mining category. These enterprise solutions have an additional level of complexity and flexibility but not everyone even needs it.  

Which deployment model are you using for this solution?

Public Cloud
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PB
Solution Architect/Technical Manager - Business Intelligence at a tech services company with 5,001-10,000 employees
Real User
Top 5
Includes lots of pre-built libraries and has good community support

Pros and Cons

  • "The most advantageous feature is the logic building."
  • "The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform."

What is our primary use case?

I use this solution for some of my assignments. Basically, it is used to take data from our database, analyze it, and make predictions.

What is most valuable?

The most advantageous feature is the logic building.

The Python libraries are all readily available and there is no need to install anything separately.

There are many good things that are pre-built, and including even more of these would be a great benefit to the developer community. It would allow us to try specific models and use cases, then customize them as per a particular activity.

What needs improvement?

I would like to see the inclusion of some statistical modeling functionality.

Having some examples built-in that we can customize based on the use case, rather than having to build the entire model, would really be an advantage.

Additional support for the visualizations would be an improvement.

The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.

For how long have I used the solution?

I have been using Anaconda for about a year.

What do I think about the stability of the solution?

The stability of the platform is quite good.

What do I think about the scalability of the solution?

I have not tried to scale Anaconda, but we will be working on that shortly. At this time we have between ten and twelve users, and we are looking at how to extend that and still be compliant.

All of our users are technicians.

How are customer service and technical support?

I have not contacted the technical support directly because to this point, we have relied on help from friends, colleagues, and the community. Most of the problems, we have been able to sort out ourselves.

Which solution did I use previously and why did I switch?

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. 

How was the initial setup?

I found the initial setup to be moderate. It was not too complex nor too easy. We had a couple of people who were working on it and we were able to sort it out with assistance from the community help channels.

It takes between three and four hours to complete the setup entirely.

What about the implementation team?

We implemented this solution ourselves.

What's my experience with pricing, setup cost, and licensing?

The licensing costs for Anaconda are reasonable.

What other advice do I have?

Our team is working on expanding the use of Anaconda. They're doing some research with respect to some of the libraries and modules, trying to do different things with existing datasets. I have been doing some slicing and analysis based on what has already been developed, and we are trying new things now.

My advice for anybody who is implementing this solution is to start with a straightforward deployment. However, if they want to start with deep learning immediately, the functionality is there, but I would recommend the full deployment.

This is a good solution, but there is a little room for improvement.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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