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."
"It will scale up to anything we need."
"We have integration where you can write third-party apps. This sort of feature opens it up to being able to do anything you want."
"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."
"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 handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."
"Compared to other tools, the product works much easier to analyze data without coding."
"It is very scalable for non-technical people."
"It allows individuals to do the analysis themselves."
"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."
"They should add mobile access."
"We have found the solution to be stable."
"The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial."
"My favorite feature is the power query editor, where it can do the data transformations."
"We encourage end users to use Power BI because it's quite easy for them to interact with the menus and the navigation bar. Even for ordinary users, they can create their own dashboard using Power BI."
"The solution is very easy to use."
"Unstructured data is not appropriate for SPSS Modeler."
"Requires more development."
"I can say the solution is outdated."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"The product does not have a search function for tags."
"Customer support is hard to contact."
"We have run into a few problems doing some entity matching/analytics."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"The dashboard could be simplified."
"Power BI could have better metadata management. It's easy to use for a single person. However, it lacks an enterprise-grade metadata management system, which can be a problem if you're doing an enterprise deployment with multiple users."
"There are some other visuals that are available in the Microsoft marketplace, however, you need to use them via trial and error. There needs to be a write-up about how to use them with a quick guide describing the visual."
"I think because I'm moving more into RPA, I'd definitely like to see integration across the RPA, Power BI, or Tableau platforms, because that integration could then make automation and mundane reporting much faster."
"I find the solution to be 70 percent stable."
"Microsoft BI has its own challenges in terms of user interface and how quickly somebody can learn how to use it."
"Needs single sign-on."
"If you have to pull multiple data sources performance is somewhat lacking."
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, Alteryx, IBM SPSS Statistics 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.
