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."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."
"I like not having to write all solutions from code. Being able to drag and drop controls, enables me to focus on building the best model, without needing to search for syntax errors or extra libraries."
"The most valuable features are the Binary classification and Auto Model."
"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."
"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."
"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 solution is stable."
"RapidMiner for Windows is an excellent graphical tool for data science."
"The features that I have found most valuable with SAP ERP products are their good user interface, stability, functionality, and good interface options."
"It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up."
"The features that are most valuable in SAP Analytics Cloud are the planning feature and the predictive analytics feature, though the planning feature needs to be more efficient."
"A robust solution."
"The most valuable features are on the application side, where you can design applications into your analytics on the platform."
"Easy to use."
"The SKU, the story build all are user- friendly. For the story build one just has to drag and drop it. And for the table, you just need some sort of selections and everything there."
"The tool's most valuable features are the BI and planning functionalities. I value being able to integrate smart planning with BI for analysis. The solution is user-friendly."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"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."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"The price of this solution should be improved."
"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."
"It would be helpful to have some tutorials on communicating with Python."
"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."
"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."
"SAP Analytics Cloud requires a lot of coding and I would like the coding to be somewhat minimal."
"Statistical analysis should be a bit more profound than it is."
"The business intelligence features should be improved because there is a lack of functionality regarding that part."
"They need a better scalability rate."
"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."
"We need to know that we are using the latest and greatest, and SAP appears as if it has lost some credit in the market."
"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."
RapidMiner is ranked 2nd in Predictive Analytics with 19 reviews while SAP Analytics Cloud is ranked 3rd in Predictive Analytics with 58 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 Data Science Studio, 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.
We monitor all Predictive Analytics reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
