We performed a comparison between RapidMiner and SAP Analytics Cloud based on real PeerSpot user reviews.
Find out in this report how the two Predictive Analytics solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The solution is stable."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"The data science, collaboration, and IDN are very, very strong."
"RapidMiner is very easy to use."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"We value the collaboration and governance features because it's a comprehensive platform that covers everything from data extraction to modeling operations in the ML language. RapidMiner is competitive in the ML space."
"The ease of use of the solution is its most valuable feature. We haven't tried all of the features yet. The graphing and the ease of using the analytics tools have been great. It's all drag and drop; you don't need to code anything."
"Planning is the most valuable feature of the product because it's integrated and that means we don't need to rely on an independent planning environment."
"Technical support is helpful."
"The most valuable features are the visualization and user-friendliness."
"It is scalable."
"The Smart Predict, Smart Insights, and Smart Discovery predictive analysis features are quite good."
"Provides rich features for developing automated reports and dashboards."
"The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"In the Mexican or Latin American market, it's kind of pricey."
"The server product has been getting updated and continues to be better each release. When I started using RapidMiner, it was solid but not easy to set up and upgrade."
"I would like to see more integration capabilities."
"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."
"Improve the online data services."
"One challenge I encountered while implementing RapidMiner was the lack of documentation. Since there aren't as many users, finding resources to learn the tool was initially difficult. To overcome this hurdle, I believe RapidMiner could improve by providing more tutorials tailored for new users."
"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."
"SAC, which is the cloud version, lost some good features from the previous planning product, like BPC or BPS."
"I think it would be easier if there was another module created to retrieve only data."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"It seems like there's a problem with the tool's licenses. If there are a lot of users, like 200, who only use the solution once a year, paying for a full-year license for each user is expensive. There's no option for users who only use the solution occasionally."
"An area for improvement in SAP Analytics Cloud is its planning feature because it's not that efficient when compared to BPC. Another area for improvement in the solution is the difficulty in building reports or dashboards, particularly if you don't have proper knowledge of the BI system. SAP Analytics Cloud technical support also needs improvement."
"Could be more user-friendly; somewhat complicated to use."
"It's lacking a bit in maturity and we find we can't run our business off it until it's improved."
"Pricing is fine for the BI license, but when it comes to client license, that fee is a bit high."
RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews while SAP Analytics Cloud is ranked 3rd in Predictive Analytics with 60 reviews. RapidMiner is rated 8.6, while SAP Analytics Cloud is rated 8.0. The top reviewer of RapidMiner writes "Offers good tutorials that make it easy to learn and use, with a powerful feature to compare machine learning algorithms". On the other hand, the top reviewer of SAP Analytics Cloud writes "Good for reporting but needs to improve its predictive analytics features". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio, whereas SAP Analytics Cloud is most compared with SAP BusinessObjects Business Intelligence Platform, Tableau, IBM Planning Analytics, Microsoft Power BI and Anaplan. See our RapidMiner vs. SAP Analytics Cloud report.
See our list of best Predictive Analytics vendors.
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