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."
"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."
"Automation is great and this product is very organized."
"The visual modeling capability is one of its attractive features."
"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."
"Automated modelling, classification, or clustering are very useful."
"It will scale up to anything we need."
"It's a very organized product. It's easy to use."
"So far, the stability has been rock solid."
"he solution is scalable."
"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."
"Good data management and analytics."
"The solution is able to handle quite large amounts of data beautifully."
"The setup is straightforward. Deployment doesn't take more than 30 minutes."
"The most valuable feature is the decision tree creation."
"The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them."
"The predictive analysis feature needs improvement."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"The challenge for the very technical data scientists: It is constraining for them."
"I would like see more programming languages added, like MATLAB. That would be better."
"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."
"Requires more development."
"It would be good if IBM added help resources to the interface."
"Technical support could be improved."
"The visualization of the models is not very attractive, so the graphics should be improved."
"Virtualization could be much better."
"The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch."
"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."
"The solution needs an easier interface for the user. The user experience isn't so easy for our clients."
"The initial setup is challenging if doing it for the first time."
"The user interface of the solution needs improvement. It needs to be more visual."
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