Hemant AddalSenior Vice President at a financial services firm
Abdul-RasoolSenior Practice Manager - Head of SAP at a tech consulting company
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"This open-source product can compete with category leaders in ELT software."
"The visual workflow tools for custom and complex tasks always beat raw coding languages with the agility, speed to deliver, and ease of subsequent changes."
"This solution is easy to use and especially good at data preparation and wrapping."
"It's a coding-less opportunity to use AI. This is the major value for me."
"This solution is easy to use and it can be used to create any kind of model."
"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"It is very fast to develop solutions."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The ability to handle large amounts of data and performance in processing need to be improved."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."
"There should be better documentation and the steps should be easier."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The predefined workflows could use a bit of improvement."
"The documentation is lacking and it could be better."
"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."
"This solution works for acquired data but not live, real-time data."
"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 of KNIME is quite reasonable and the designer tool can be used free of charge."
"It's an open-source solution."
"The price for Knime is okay."
"At this time, I am using the free version of Knime."
"This is an open-source solution that is free to use."
"There is a Community Edition and paid versions available."
"A free trial version is available for testing out this solution."
"The pricing is reasonable"
Earn 20 points
SAP® Predictive Analytics software brings predictive insight to business users, analysts, data scientists, and developers in your company. Unlock the potential of Big Data from virtually any source with the power of predictive automation. By automating the building and management of sophisticated predictive models to deliver insight in real time, this software makes it easier to make better, more profitable decisions across the enterprise.
KNIME is ranked 3rd in Data Science Platforms with 13 reviews while SAP Predictive Analytics is ranked 17th in Data Science Platforms with 2 reviews. KNIME is rated 8.4, while SAP Predictive Analytics is rated 8.6. The top reviewer of KNIME writes "Has good machine learning and big data connectivity but the scheduler needs improvement ". On the other hand, the top reviewer of SAP Predictive Analytics writes "Enables us to forecast and pull trends and has an easy installation ". KNIME is most compared with Alteryx, RapidMiner, Databricks, Dataiku Data Science Studio and Weka, whereas SAP Predictive Analytics is most compared with Microsoft Azure Machine Learning Studio, IBM SPSS Statistics, Amazon SageMaker, Alteryx and Dataiku Data Science Studio. See our KNIME vs. SAP Predictive Analytics report.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms 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.