We performed a comparison between Domino Data Science Platform and KNIME based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."The scalability of the solution is good; I'd rate it four out of five."
"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."
"It's a very powerful and simple tool to use."
"We have found KNIME valuable when it comes to its visualization."
"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."
"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."
"I would rate the stability of KNIME a ten out of ten."
"The solution allows for sharing model designs and model operations with other data analysts."
"Overall KNIME serves its purpose and does a good job."
"The predictive analysis feature needs improvement."
"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."
"KNIME's licensing and data management aren't as straightforward relative to Alteryx. Alteryx's tools are more sophisticated, so you need fewer to use it compared to KNIME. I think tab implementation could be easier, too."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."
"The ability to handle large amounts of data and performance in processing need to be improved."
"I would prefer to have more connectivity."
"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."
"Compared to the other data tools on the market, the user interface can be improved."
Earn 20 points
Domino Data Science Platform is ranked 19th in Data Science Platforms while KNIME is ranked 4th in Data Science Platforms with 50 reviews. Domino Data Science Platform is rated 7.0, while KNIME is rated 8.2. The top reviewer of Domino Data Science Platform writes "Good scalability and stability but the predictive analysis feature needs improvement". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". Domino Data Science Platform is most compared with Databricks, Amazon SageMaker, Microsoft Azure Machine Learning Studio, Dataiku and Anaconda, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and Pentaho Business Analytics.
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