We performed a comparison between Domino Data Science Platform, IBM SPSS Modeler, and SAS Enterprise Miner based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The scalability of the solution is good; I'd rate it four out of five."
"It will scale up to anything we need."
"It's a very organized product. It's easy to use."
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"Automated modelling, classification, or clustering are very useful."
"It is very scalable for non-technical people."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"It works fine. I have not had any stability issues; it is always up."
"The quality is very good."
"The solution is very good for data mining or any mining issues."
"The solution is able to handle quite large amounts of data beautifully."
"The technical support is very good."
"Good data management and analytics."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks."
"The most valuable feature is the decision tree creation."
"The predictive analysis feature needs improvement."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"I can say the solution is outdated."
"Customer support is hard to contact."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"It would be good if IBM added help resources to the interface."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The visualization of the models is not very attractive, so the graphics should be improved."
"The ease of use can be improved. When you are new it seems a bit complex."
"The solution is much more complex than other options."
"The product must provide better integration with cloud-native technologies."
"The initial setup is challenging if doing it for the first time."
"While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system."
"Virtualization could be much better."
Earn 20 points