We performed a comparison between RapidMiner and TIBCO Statistica based on real PeerSpot user reviews.
Find out what your peers are saying about Alteryx, RapidMiner, SAP and others in Predictive Analytics."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."
"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."
"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 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."
"I've been using a lot of components from the Strategic Extension and Python Extension."
"Using the GUI, I can have models and algorithms drag and drop nodes."
"The most valuable feature is what the product sets out to do, which is extracting information and data."
"RapidMiner is very easy to use."
"One of the best features of TIBCO Statistica is its block-based solution building."
"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."
"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."
"The price of this solution should be improved."
"Improve the online data services."
"A great product but confusing in some way with regard to the user interface and integration with other tools."
"RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models."
"It would be helpful to have some tutorials on communicating with Python."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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 "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 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.
