We performed a comparison between IBM SPSS Modeler and Microsoft Power BI based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."
"The supervised models are valuable. It is also very organized and easy to use."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"It scales. I have not run into any challenges where it will not perform."
"It makes pretty good use of memory. There are algorithms take a long time to run in R, and somehow they run more efficiently in Modeler."
"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."
"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."
"The quality is very good."
"The drag and drop facility to easily change the data correctly is the most valuable feature. I am happy to see visualizations. It's easier to talk about and make people understand what is going on."
"The initial setup is easy."
"The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app."
"The amount of customization that you can do is good, and it's relatively straightforward to do."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"Everything that's in M Query and DAX is the heart of Power BI because with these tools you can make up for a lot of other missing features."
"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."
"What I like about Power BI is how fast you are able to create dashboards and how fast you are able to fetch the data. You can connect to the database or data source, and then you can design your dashboards very easily."
"Initial setup of the software was complex, because of our own problems within the government."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."
"Regarding visual modeling, it is not the biggest strength of the product, although from what I hear in the latest release it's going to be a lot stronger. That, to me, has always been the biggest flaw in using this. It's very difficult to get good visualization."
"It is not integrated with Qlik, Tableau, and Power BI."
"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."
"The standard package (personal) is not supported for database connection."
"More connections with other systems should be added, which would allow for other integrations."
"It should be more scalable for an enterprise-level implementation. When you deploy large data sets, the response has to be faster in Power BI. This is one thing that needs to be improved in it."
"I would like it to be a little bit more secure when I'm using the design feature on my desktop. For example, to have the ability to set up security passwords for opening the file. Currently, they don't have that. Tableau, for example, has a visual way of doing data processing steps, whereas the Power BI system still has some code, although it is very low code. It would be great to have the kind of view that Tableau has."
"I would like to see better, undisturbed stability without any interruptions."
"Microsoft should offer additional features for visualization and have additional features for slicing and dicing that data."
"I would like to see more AI capabilities in future releases. There's a strong interest in AI, including technologies like GPT, which facilitate real-time interactions."
"The upgrade process could be improved."
"For someone who is new, I think that Power BI can be a little complicated."
IBM SPSS Modeler is ranked 4th in Data Mining with 38 reviews while Microsoft Power BI is ranked 1st in BI (Business Intelligence) Tools with 297 reviews. IBM SPSS Modeler is rated 8.0, while Microsoft Power BI is rated 8.0. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". 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)". IBM SPSS Modeler is most compared with KNIME, IBM SPSS Statistics, RapidMiner, Alteryx and SAS Visual Analytics, whereas Microsoft Power BI is most compared with Tableau, Amazon QuickSight, KNIME, Domo and Oracle OBIEE.
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.
