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IBM SPSS Modeler vs Microsoft Power BI comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

IBM SPSS Modeler
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
40
Ranking in other categories
Data Mining (3rd), Data Science Platforms (12th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
329
Ranking in other categories
BI (Business Intelligence) Tools (1st), Reporting (1st)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. IBM SPSS Modeler is designed for Data Mining and holds a mindshare of 18.9%, up 17.1% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 9.3% mindshare, down 21.8% since last year.
Data Mining Mindshare Distribution
ProductMindshare (%)
IBM SPSS Modeler18.9%
IBM SPSS Statistics18.3%
KNIME Business Hub12.8%
Other50.0%
Data Mining
BI (Business Intelligence) Tools Mindshare Distribution
ProductMindshare (%)
Microsoft Power BI9.3%
Tableau Enterprise6.7%
Amazon QuickSight3.7%
Other80.3%
BI (Business Intelligence) Tools
 

Featured Reviews

RB
Business Owner at SASS GmbH
Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement
The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.
Antonio Flor - PeerSpot reviewer
Lead Anaplanner at Chaucer Group
Data integration has improved reserving and expense control while collaboration drives fast dashboards
Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It is a great tool even for an individual with no or basic predictive modeling experience."
"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."
"Stability is good."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"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."
"It scales. I have not run into any challenges where it will not perform.​"
"I would recommend SPSS to someone who has just started trying to run a lot of modeling, it's a good starting point."
"It’s definitely scalable, it’s all on the same platform, it’s well integrated. I think the integration is important in terms of scalablility because essentially, having the entire suite helps a lot to scale it"
"My primary use is for view of the dashboard."
"It allows individuals to do the analysis themselves​."
"One of the most valuable features of Power BI is the ease of use. It is comfortable and there is not a steep learning curve for this solution. If you have some idea of the data and basic visualization ideas, you can use this solution comfortably."
"It is useful for bringing visualization to data. It calculates counts, ratios, etc."
"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."
"Real-time refresh is quite interesting and user-friendly, provided you have access to a gateway. It works well."
"Power BI, once made available, can connect to various data sources, irrespective of the application, whether it be HR or business applications. The bank has many applications, but all eventually need to generate reports for tracking, distribution, or problem-finding based on analysis. Power BI was made available as part of the productivity suite to all businesses, which can connect to their applications and provide the reports and analysis they require."
"The demand estimation and forecasting profitability are the most effective features of Microsoft Power BI, along with vendor and supply chain risk analysis, inventory and stock forecasting, real-time production monitoring, and quality control through defect tracking and root cause analysis."
 

Cons

"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."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"This tool has a lot of bugs."
"I can say the solution is outdated."
"The forecasting could be a bit easier."
"The challenge for the very technical data scientists: It is constraining for them.​"
"Unstructured data is not appropriate for SPSS Modeler."
"​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.​"
"We need more integration capabilities."
"There is need to improve the graphical and dashboard reports; they must have tabs."
"Trend data and dashboards need improvement."
"The upgrade process could be improved."
"It's quite difficult to learn how to use Power BI."
"Sometimes in Power BI, the logic can be challenging to follow."
"It is not leading the charge on scalability, but it meets expectations."
"Microsoft should offer additional features for visualization and have additional features for slicing and dicing that data."
 

Pricing and Cost Advice

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"$5,000 annually."
"The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten users use the server with ten licenses, it runs faster. But if forty users use the same appliance, everything slows down. People then think it's not easy to do things and prefer using remote tools like Python to extract data from the database. It's not about being expensive or cheap, but about people's knowledge and experience in how to do the work."
"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."
"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."
"This tool, being an IBM product, is pretty expensive."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."
"I used the tool's free version."
"If it has to be applied on the cloud, then it costs around $10 per month per user. For a pro license and for a premium license it's around $20 per month per user. If it has to be applied on-premises then, depending on the course of your server, you have to buy a software assurance version of the database."
"Microsoft BI is not expensive."
"We have a professional license for Microsoft BI and the price is fair."
"The pricing for the solution is relatively higher compared to other alternatives."
"My company needs to make monthly payments towards the licensing costs attached to the product."
"The costs are small and the benefits are high."
"Power BI is cheaper than Tableau and Cognos."
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Government
11%
Financial Services Firm
10%
University
8%
Outsourcing Company
7%
Financial Services Firm
12%
Manufacturing Company
9%
Government
9%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise32
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise58
Large Enterprise166
 

Questions from the Community

What is your experience regarding pricing and costs for IBM SPSS Modeler?
The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...
What needs improvement with IBM SPSS Modeler?
The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a ...
What is your primary use case for IBM SPSS Modeler?
I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...
 

Also Known As

SPSS Modeler
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
 

Overview

 

Sample Customers

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: February 2026.
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