"I can't name the features the way the Knowage community calls them because I still don't know the lingo. However, I can describe them. I like the ability to join more than one report, set all fields on one end, and replicate that on the other reports. I like that a lot. I think it's one of the features that got me using Knowage. They have tables, and I like that too. They took SQL scripts and many other scripts and enabled them to even correlate with Python. That's also one of the best things about Knowage. You could also decide to get information per user role, and this is also a feature that I like in Knowage."
"The embedding feature is great."
"We can easily do our own customizations."
"The data science, collaboration, and IDN are very, very strong."
"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."
"RapidMiner is very easy to use."
"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model."
"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."
"It would be better if more resources were available to help us learn how to use it. I wanted to use Knowage for a more extended period, but learning materials around the product were not really available and were not really straightforward. I've also seen inconsistencies between versions. For example, under the tools, especially in the cockpit, the way you create reports is now different. You will also find some configurations within a particular state, like a line chart, which differs from version to version. I think consistency is an essential feature in a product, especially for business intelligence products."
"The only challenge here is that it's a Java-based platform. It requires very high technical skills."
"The dashboard components could be better."
"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."
"RapidMiner isn't cheap. It's a complete solution, but it's costly."
"I would like to see all users have access to all of the deep learning models, and that they can be used easily."
"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."
"In the Mexican or Latin American market, it's kind of pricey."
Knowage is ranked 11th in Reporting Tools with 4 reviews while RapidMiner is ranked 3rd in Predictive Analytics with 5 reviews. Knowage is rated 7.6, while RapidMiner is rated 9.0. The top reviewer of Knowage writes "Open-source with great embedding capabilities but the dashboards could be better". On the other hand, the top reviewer of RapidMiner writes "Extensive features, Turbo Prep, Auto ML, good GUI and good stability". Knowage is most compared with Microsoft BI, Pentaho Business Analytics, Tableau, TIBCO Jaspersoft and SAP BusinessObjects Business Intelligence Platform, whereas RapidMiner is most compared with KNIME, Alteryx, Microsoft Azure Machine Learning Studio, Tableau and IBM SPSS Modeler.
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