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."You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"Stability is good."
"It will scale up to anything we need."
"It works fine. I have not had any stability issues; it is always up."
"It is just a lot faster. So you do not have to write a bunch of code, you can throw that stuff on there pretty quickly and do prototyping quickly."
"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"So far, the stability has been rock solid."
"It provides good visibility."
"It is very good, and it supports the Microsoft ecosystem, including Excel, etc."
"There was a lot of manual work involved with Excel, whereas once we moved on to Microsoft Power BI, it was a cleaner dashboard and it was faster too."
"I think the visualization part is valuable."
"Easy to use. End-users can make changes to the graphics."
"I like that I can use Power BI to upload data. That is very important for me. The visualization is also convenient and easy to use."
"The stability is great and continues to get better and better."
"The user interface is easy to work with."
"The challenge for the very technical data scientists: It is constraining for them."
"It is not integrated with Qlik, Tableau, and Power BI."
"The standard package (personal) is not supported for database connection."
"C&DS will not meet our scalability needs."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"It would be good if IBM added help resources to the interface."
"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."
"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."
"My data is restricted to my DB and I'm not sure how this would handle an extremely large dataset."
"The only concern I have faced with Microsoft BI is the time it takes to find out an issue and rectify it."
"We did have some issues building the Microsoft blog."
"It's quite difficult to learn how to use Power BI."
"Power BI shows reports on actual data, not metadata."
"It would be better if they had some video tutorials. Most people from an Excel background may struggle with measures in Microsoft BI."
"I would like Microsoft to include some inbuilt machine learning so that it becomes point-and-click, rather than us developing models out of API and BI connecting to that and getting the results. That process gets in the way of continuity."
"They are improving it all the time. What would be nice is if they could respond to feature requests more quickly. They can provide faster support for new features."
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.
