We performed a comparison between RapidMiner and TIBCO Statistica based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, SAP, RapidMiner and others in Predictive Analytics."The most valuable feature is what the product sets out to do, which is extracting information and data."
"The most valuable features are the Binary classification and Auto Model."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"The data science, collaboration, and IDN are very, very strong."
"What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool."
"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."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"The best part of RapidMiner is efficiency."
"One of the best features of TIBCO Statistica is its block-based solution building."
"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."
"Improve the online data services."
"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."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"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 think that they should make deep learning models easier."
"I would appreciate improvements in automation and customization options to further streamline processes."
"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."
"TIBCO Statistica could improve by expanding its neural network capabilities to support multi-layer networks, addressing user demands for advanced tasks like image analysis."
RapidMiner is ranked 2nd in Predictive Analytics with 20 reviews while TIBCO Statistica is ranked 8th in Predictive Analytics with 1 review. RapidMiner is rated 8.6, while TIBCO Statistica is rated 8.0. The top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". On the other hand, the top reviewer of TIBCO Statistica writes "Provides versatility in analysis and problem-solving". RapidMiner is most compared with KNIME, Alteryx, Dataiku, Tableau and Microsoft Azure Machine Learning Studio, whereas TIBCO Statistica is most compared with IBM SPSS Statistics, TIBCO Data Science and SAS Predictive Analytics.
See our list of best Predictive Analytics vendors and best Data Science Platforms 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.