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 scales. I have not run into any challenges where it will not perform."
"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."
"It works fine. I have not had any stability issues; it is always up."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"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 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 is pretty scalable."
"We have full control of the data handling process."
"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."
"It's a straightforward setup."
"Good CS and administration."
"Ease of development and maintenance."
"It is a good platform for data analysis, organization, and all of the other interim performances that are necessary."
"The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app."
"Very intuitive and easy to use."
"The dashboard features are really valuable, you can connect to multiple data points."
"The product does not have a search function for tags."
"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."
"I would like see more programming languages added, like MATLAB. That would be better."
"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."
"Customer support is hard to contact."
"Unstructured data is not appropriate for SPSS Modeler."
"I think mapping for geographic data would also be a really great thing to be able to use."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"I believe the price should be degressive, and we should have a lower, or better unit price if we have more users."
"There could be an integrated AI that can automatically analyze some of your data and highlight or provide suggestions. For example, when you are looking at a data set, it can suggest putting it into a certain type of chart so that you gain different insights or a trend line. You would almost have templates that it would recommend for you."
"Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization. It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go."
"It should have more integrations."
"Things can slow down if you create too many pages."
"The initial setup is a little bit technical."
"Integrating it with the physics build model or the engineering model should be included."
"I am a SAP user and I would like this tool to have more connectors - and to more easily connect to - the ERP or SAP environment."
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.
