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."Stability is good."
"It scales. I have not run into any challenges where it will not perform."
"Automated modelling, classification, or clustering are very useful."
"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."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."
"It is a great product for running statistical analysis."
"The data can be accessed from anywhere."
"I like data modeling. You can connect with your database, which is quite useful for me. It is a good tool if you have a large amount of data and you want to gather different data and interconnect it. The Power Query functionality is quite an interesting feature. If you have a query in Excel, you can also copy your query and run it in Power BI. Its dashboard is also very nice and not complicated. You don't need to be a developer to be able to use it. I am not an IT guy, and it is quite easy to use for somebody who is not an IT person."
"We've used Microsoft BI for the general use cases around reporting and dashboarding."
"My understanding is that the initial setup is pretty easy."
"The most interesting feature of Microsoft Power BI is that it's very user-friendly."
"It is useful for bringing visualization to data. It calculates counts, ratios, etc."
"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 feature is integration with Python."
"Customer support is hard to contact."
"I think mapping for geographic data would also be a really great thing to be able to use."
"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."
"The time series should be improved."
"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."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Initial setup of the software was complex, because of our own problems within the government."
"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."
"The solution doesn't integrate well with third-party tools."
"A lot of people work on Excel, so being able to export an Excel file as part of a subscription would be an improvement."
"I would like to see integration with Excel."
"I would like to see better, undisturbed stability without any interruptions."
"The accounting data needs improvement."
"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."
"In my opinion, the software is a little bit limited in terms of the flexibility it offers, with regard to the design of the visualization."
"It should be easier to use when there are multiple system sources."
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, RapidMiner, IBM SPSS Statistics, 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.
