We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Very good data aggregation."
"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"Automation is great and this product is very organized."
"It is a great product for running statistical analysis."
"The supervised models are valuable. It is also very organized and easy to use."
"KNIME is quite scalable, which is one of the most important features that we found."
"The solution is good for teaching, since there is no need to code."
"This solution is easy to use and especially good at data preparation and wrapping."
"It can handle an unlimited amount of data, which is the advantage of using Knime."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"This open-source product can compete with category leaders in ELT software."
"It's a coding-less opportunity to use AI. This is the major value for me."
"From a user-friendliness perspective, it's a great tool."
"It would be good if IBM added help resources to the interface."
"Requires more development."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"Dimension reduction should be classified separately."
"Compared to the other data tools on the market, the user interface can be improved."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"If they had a more structured training model it would be very helpful."
"The ability to handle large amounts of data and performance in processing need to be improved."
"It could input more data acquisitions from other sources and it is difficult to combine with Python."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"There should be better documentation and the steps should be easier."
"The predefined workflows could use a bit of improvement."
"This tool, being an IBM product, is pretty expensive."
"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"At this time, I am using the free version of Knime."
"There is a Community Edition and paid versions available."
"This is an open-source solution that is free to use."
"It's an open-source solution."
"KNIME assets are stand alone, as the solution is open source."
"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."
"The price for Knime is okay."
"The price of KNIME is quite reasonable and the designer tool can be used free of charge."
IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.
IBM SPSS Modeler is ranked 3rd in Data Mining with 5 reviews while KNIME is ranked 1st in Data Mining with 15 reviews. IBM SPSS Modeler is rated 8.4, while KNIME is rated 8.2. The top reviewer of IBM SPSS Modeler writes "User-friendly, and it gives you a lot of visibility through features like comparing fiscal quarters". On the other hand, the top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". IBM SPSS Modeler is most compared with IBM Watson Studio, IBM SPSS Statistics, Alteryx, Microsoft BI and Microsoft Azure Machine Learning Studio, whereas KNIME is most compared with Alteryx, RapidMiner, Databricks, Weka and Microsoft BI. See our IBM SPSS Modeler vs. KNIME report.
We monitor all Data Mining 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.