We performed a comparison between KNIME and Microsoft Azure Machine Learning Studio 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."Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."
"This solution is easy to use and it can be used to create any kind of model."
"This open-source product can compete with category leaders in ELT software."
"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."
"The most useful features are the readily available extensions that speed up the work."
"KNIME is easy to learn."
"I've never had any problems with stability."
"The solution is good for teaching, since there is no need to code."
"Their support is helpful."
"It's easy to deploy."
"Visualisation, and the possibility of sharing functions are key features."
"The initial setup is very simple and straightforward."
"Split dataset, variety of algorithms, visualizing the data, and drag and drop capability are the features I appreciate most."
"One of the notable advantages is that it offers both a visual designer, which is user-friendly, and an advanced coding option."
"The solution is very fast and simple for a data science solution."
"The solution facilitates our production."
"KNIME is not scalable."
"Both RapidMiner and KNIME should be made easier to use in the field of deep learning."
"Compared to the other data tools on the market, the user interface can be improved."
"There should be better documentation and the steps should be easier."
"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."
"If they had a more structured training model it would be very helpful."
"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."
"KNIME needs to provide more documentation and training materials, including webinars or online seminars."
"The solution's initial setup process is complicated."
"The solution cannot connect to private block storage."
"There's room for improvement in terms of binding the integration with Azure DevOps."
"I have found Databricks is a better solution because it has a lot of different cluster choices and better integration with MLflow, which is much easier to handle in a machine learning system."
"The regulatory requirements of the product need improvement."
"It would be nice if the product offered more accessibility in general."
"Microsoft should also include more examples and tutorials for using this product."
"I would like to see modules to handle Deep Learning frameworks."
More Microsoft Azure Machine Learning Studio Pricing and Cost Advice →
KNIME is ranked 4th in Data Science Platforms with 50 reviews while Microsoft Azure Machine Learning Studio is ranked 2nd in Data Science Platforms with 52 reviews. KNIME is rated 8.2, while Microsoft Azure Machine Learning Studio is rated 7.6. The top reviewer of KNIME writes "A low-code platform that reduces data mining time by linking script". On the other hand, the top reviewer of Microsoft Azure Machine Learning Studio writes "Good support for Azure services in pipelines, but deploying outside of Azure is difficult". KNIME is most compared with RapidMiner, Microsoft Power BI, Alteryx, Dataiku and IBM SPSS Modeler, whereas Microsoft Azure Machine Learning Studio is most compared with Google Vertex AI, Databricks, Azure OpenAI, TensorFlow and IBM Watson Studio. See our KNIME vs. Microsoft Azure Machine Learning Studio report.
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