We performed a comparison between IBM Watson Studio and KNIME based on real PeerSpot user reviews.
Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Stability-wise, it is a great tool."
"The system's ability to take a look at data, segment it and then use that data very differently."
"The scalability of IBM Watson Studio is great."
"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."
"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"IBM Watson Studio consistently automates across channels."
"It is a very stable and reliable solution."
"The solution is good for teaching, since there is no need to code."
"This open-source product can compete with category leaders in ELT software."
"The product is open-source and therefore free to use."
"We can deploy the solution in a cluster as well."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."
"What I like the most is that it works almost out of the box with Random Forest and other Forest nodes."
"One of the greatest advantages of KNIME is that it can be used by those without any coding experience. those with no coding background can use it."
"Some of the solutions are really good solutions but they can be a little too costly for many."
"I think maybe the support is an area where it lacks."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."
"The initial setup was complex."
"The main challenge lies in visibility and ease of use."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"The solution's interface is very slow at times."
"I would prefer to have more connectivity."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"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."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The pricing needs improvement."
"In my environment, I need to access a lot of servers with different characteristics and access methods. Some of my servers have to be accessed using proxy which is not supported by KNIME, so I still need to create the middleware to supply the source of my KNIME configurations."
"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."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
IBM Watson Studio is ranked 11th in Data Science Platforms with 13 reviews while KNIME is ranked 4th in Data Science Platforms with 50 reviews. IBM Watson Studio is rated 8.2, while KNIME is rated 8.2. The top reviewer of IBM Watson Studio writes "A highly robust and well-documented platform that simplifies the complex world of AI". On the other hand, the top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". IBM Watson Studio is most compared with Databricks, Microsoft Azure Machine Learning Studio, Azure OpenAI, Google Vertex AI and Amazon Comprehend, whereas KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Weka and Dataiku Data Science Studio. See our IBM Watson Studio vs. KNIME report.
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