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.
"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."
"I would rate the stability of KNIME a ten out of ten."
"Clear view of the data at every step of ETL process enables changing the flow as needed."
"It is a stable solution...It is a scalable solution."
"It's a huge tool with machine learning features as well."
"It's a coding-less opportunity to use AI. This is the major value for me."
"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."
"The solution is good for teaching, since there is no need to code."
"I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice."
"Power BI is more powerful than other tools because it is new for us. Each new version has more capabilities, and we're expecting AI and ML features in the next version."
"Constant collaboration is the most valuable. I can build a dashboard, and several co-workers can access this dashboard. We can share information that is important for decision-making. It is a very easy-to-deploy solution. It is compatible with a lot of data sources. It is also very stable and scalable. There is also a very good forum and a lot of help and online training."
"With the out-of-the-box Data Platform and Business Intelligence ecosystem, you get the entire platform with a single license."
"The visuals are great and make everything look very professional. We can change the look and feel or manipulate the data according to our requirements. It's extremely flexible."
"The most valuable feature of the solution is that it is an easy-to-use tool."
"It integrates with all of the Microsoft tools."
"The interface is very fluid."
"In the last update, KNIME started hiding a lot of the nodes. It doesn't mean hiding, but you need to know what you're looking for. Before that, you had just a tree that you could click, and you could get an overview of what kind of nodes do I have. Right now, it's like you need to know which node you need, and then you can start typing, but it's actually more difficult to find them."
"The data visualization part is the area most in need of 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."
"I would prefer to have more connectivity."
"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."
"Data visualization needs improvement."
"System resource usage. Knime will occupy total system RAM size and other applications will hang."
"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."
"The maps in Power BI could be improved. You deal with many maps over the years, like maps of America and Saudi Arabia. The maps aren't detailed enough, and there aren't enough visualization tools. Whenever I want to use a map, I struggle with choosing the right visualization."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."
"The upgrade process could be improved."
"Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds."
"We found out that you can't share a report with others unless you have an additional package. That caught us off guard. It came as a program that somebody could go in, build a report, and show it, but you can't share it without having additional licenses."
"Its desktop tool is a little bit memory CPU intensive, and it can be improved, but the machines nowadays come with a lot of memory. For the desktop users who are using it on the desktop, we recommend that they do an upgrade. It is a minor issue. We can fix it on the desktop."
"I would like for there to be some type of user manual that shows steps on how to navigate the solution."
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, Dataiku Data Science Studio, Weka 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.
