We performed a comparison between KNIME and Microsoft BI based on our users’ reviews in four categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: KNIME is a great alternative for organizations that are looking for a cost-saving, flexible, stable solution to handle their Data Mining and Data Science needs. Microsoft BI is a comprehensive, robust solution that performs well with Data Mining and Data Science in addition to exceptional performance as a Business Intelligence (BI) tool. As many PeerSpot users are heavily invested in the Microsoft ecosystem, Microsoft BI is the consistent trusted choice.
"Easy to use, stable, and powerful."
"I know I don't use it to its full capacity, but I love the Rule Engine feature. It has allowed me to create lookup tables on the fly and break down text fields into quantifiable data."
"Since KNIME is a no-code platform, it is easy to work with."
"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."
"It's very convenient to write your own algorithms in KNIME. You can write it in Java script or Python transcript."
"It is a stable solution...It is a scalable solution."
"Stability is excellent. I would give it a nine out of ten."
"As it was my first time using Power BI, I can say that it was fairly easy to learn, especially if you already know BI-type tools."
"Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it."
"The product is intuitive and user-friendly."
"The product is user-friendly."
"The most valuable feature would be the abundance of connectors. It is also easy to use."
"It is in the cloud, which makes it easy for mobile access of reports and data."
"Its seamless integration with Microsoft products, such as Microsoft SQL Server or Microsoft Excel, is the most valuable."
"Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau."
"There should be better documentation and the steps should be easier."
"Data visualization needs improvement."
"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 are some parameters that I would like to have at a bigger scale. The upper limit of one node that tries to find spots or areas in photos was too small for us. It would need to be bigger."
"The documentation is lacking and it could be better."
"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."
"To enhance accessibility and user-friendliness, there is a need for improvements in the interface and usability of deep learning and large-scale learning languages."
"The documentation needs a proper rework. "
"I find the solution to be 70 percent stable."
"I am a SAP user and I would like this tool to have more connectors - and to more easily connect to - the ERP or SAP environment."
"It is easy enough. I don't see any real substantial improvements that are needed. It is great as it is, but its interface could be a bit modern."
"I would like to see better, undisturbed stability without any interruptions."
"Power BI shows reports on actual data, not metadata."
"The default parameters of the prompt could be improved by including a dynamic option."
"One opportunity for improvement would be on the Power Query side. As a consultant, I know Power Query is not the main strength of Power BI. It is not where Power BI shines, but many customers use Power Query to do full ETL workloads for deliverable cookies."
"It needs a wizard that covers all its options."
KNIME is ranked 1st in Data Mining with 50 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. KNIME is rated 8.2, while Microsoft Power BI is rated 8.0. 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 Power BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". KNIME is most compared with RapidMiner, Alteryx, Weka, Dataiku Data Science Studio and IBM SPSS Modeler, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, Domo, Oracle OBIEE and MicroStrategy.
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.
