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."It's a very organized product. It's easy to use."
"Very good data aggregation."
"It is a great product for running statistical analysis."
"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."
"We use analytics with the visual modeling capability to leverage productivity improvements."
"The supervised models are valuable. It is also very organized and easy to use."
"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."
"Automated modelling, classification, or clustering are very useful."
"There are some great automation elements in the product."
"The most valuable feature is integration with Python."
"The most useful features are the ability to connect different databases to Microsoft BI and explore them. Once the database information has been extracted, you have the ability to construct indicators and dashboards from the information."
"Provides good data flow related to the container and control flow."
"Implementation is very quick and the solution is very user-friendly."
"I have found the most valuable feature of this solution is the Natural Language tool."
"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."
"It gives you an edge if you are on the Microsoft platform. If you have been using Microsoft products for a long time or if you have the Microsoft infrastructure, this is the right tool for you. It has seamless integration with Microsoft SQL Server and other sources, and you get the best of the three things (SSIS, SSAS, and SSRS) in one suite."
"The standard package (personal) is not supported for database connection."
"C&DS will not meet our scalability needs."
"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."
"The forecasting could be a bit easier."
"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."
"Dimension reduction should be classified separately."
"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."
"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."
"The solution could be quicker at rendering data."
"Creating dashboards could be easier."
"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."
"Right now, their premium pricing is keeping us out of the premium market. The premium price per user just doesn't make sense for us, but we haven't reached the limit of 500 users to justify the premium."
"This solution is resource-heavy."
"It should be easier to use when there are multiple system sources."
"The solution doesn't integrate well with third-party tools."
"I would like to see a change in the premium capacity."
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.
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