Try our new research platform with insights from 80,000+ expert users

IBM SPSS Modeler vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #3 in DM , with an average rating of 7.7, and holds a 21.5% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 8.0, and holds a 12.7% mindshare. Additionally, 86% of IBM users are willing to recommend the solution, compared to 93% of Microsoft users who would recommend it.
IBM SPSS Modeler
Read 40 IBM SPSS Modeler reviews
  • 2,375 Views
  • 1,235 Comparison Views
86% willing to recommend
Microsoft Power BI
Read 326 Microsoft Power BI reviews
  • 22,072 Views
  • 13,685 Comparison Views
93% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive Summary
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, IBM, Weka and others in Data Mining.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Data Mining Report (Updated: October 2025).
Buyer's Guide
Data Mining
October 2025
Download the complete report
Helped 872,922 peers since 2012

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 (14th)
Microsoft Power BI
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
326
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 21.5%, up 17.2% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 12.7% mindshare, down 22.1% since last year.
Data Mining Market Share Distribution
ProductMarket Share (%)
IBM SPSS Modeler21.5%
IBM SPSS Statistics20.8%
KNIME Business Hub16.8%
Other40.900000000000006%
Data Mining
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI12.7%
Tableau Enterprise9.2%
Amazon QuickSight4.5%
Other73.6%
BI (Business Intelligence) Tools
 

Featured Reviews

PeterHuo - PeerSpot reviewer
Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data
There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.
Read full review
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.
Read full review

Quotes from Members

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

Pros

"I was familiar with using IBM SPSS Modeler separately in the private sector before that. It's a good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data."
"We are using it either for workforce deployment or to improve our operations."
"Automated modelling, classification, or clustering are very useful."
"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."
"The customer loves it at first glance because it is so easy to handle, and you get a solution pretty soon."
"It is a great product for running statistical analysis."
"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"
"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."
More IBM SPSS Modeler pros
"The stability is good."
"Most of the clients I am interacting with are looking towards Power BI because of the cost and simplicities. It provides an entire feature set and a complete solution. It has tight integration with Office 365, Dynamics 365, Microsoft Technology Stack, and datatypes like R and Python."
"The main feature I find valuable is the possibility to work with an extensive amount of data."
"What I have found valuable about Microsoft BI is its performance and ease of use. The interface is very simple and it is accessible to everyone. If someone is new to this type of solution it is straightforward to understand."
"The most valuable aspect of Microsoft Power BI in my field is the insights it provides from analyzing data. Sometimes, these insights go beyond what traditional analysis can reveal due to the large volume of data involved. In terms of improving our data analysis process, it starts with identifying data sources, followed by cleaning and filtering out irrelevant data. Then, we categorize and structure the data to achieve the best visualization and insights. Regarding Power BI's integration with other tools, although we haven't implemented it ourselves, it's known that Power BI can integrate with systems like SAP or ERP software, which could enhance our analytics capabilities if needed."
"It's a powerful platform."
"Power BI's integration with other tools is very good."
"Tech support is very helpful."
More Microsoft Power BI pros
 

Cons

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"Dimension reduction should be classified separately."
"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."
"Expensive to deploy solutions. You need to buy an extra deployment unit."
"It would be good if IBM added help resources to the interface."
"​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 challenge for the very technical data scientists: It is constraining for them.​"
More IBM SPSS Modeler cons
"Areas for improvement would be the construction of reports and the dashboard budget."
"The smart phone application could be improved, along with better graphics and faster updating."
"We would like improvements made to the paginated reports so that it produces quality similarly to SSRS."
"​It needs more analytic tools."
"I think that the product would benefit by increasing the range of visuals and graphics readily available, as opposed to using a third party included as part of the product."
"Actionable insights could be better."
"It has limited performance capabilities in terms of connecting to large transactional databases, but it is fine for simple and quick queries from Excel spreadsheets or one table. The premium level is going to be more applicable for the higher transaction-level databases."
"If I have to update data automatically, where I have to pin the gateway, it doesn't update. There is a scheduled refresh functionality so that it refreshes automatically, but I find it very hard to make it work."
More Microsoft Power BI cons
 

Pricing and Cost Advice

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."
"This tool, being an IBM product, is pretty expensive."
"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."
"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."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"It got us a good amount of money with quick and efficient modeling."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"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."
More IBM SPSS Modeler pricing and cost advice
"From a cost point of view, it's competitive in the enterprise space, although it's not as competitive when you add up all of the additional costs. Things like integrations cost extra and it's probably where Microsoft makes more of the money."
"The solution is priced well for what they offer. However, the premium version is very expensive."
"There are a few options available for purchasing a license. Typically the number of users you have will determine the price of the license. The more users you have the more you will pay."
"Power BI premium is really expensive for our market. A lot of small and medium companies would like to purchase it, but they can't afford it."
"The premium capacity is very costly in respect of the market in Egypt, amounting to $5,000 monthly."
"MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."
"Both cost-wise and implementation-wise, this product is a good choice."
"I rate the product price an eight on a scale of one to ten, where one is low price and ten is high price."
More Microsoft Power BI pricing and cost advice
report
See which vendors are best for you
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
See recommendations
872,922 professionals have used our research since 2012.
 

Comparison Review

it_user79932 - PeerSpot reviewer
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…
Read full review
 

Top Industries

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

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 Business134
Midsize Enterprise57
Large Enterprise165
 

Questions from the Community

What do you like most about IBM SPSS Modeler?
Compared to other tools, the product works much easier to analyze data without coding.
See all answers
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...
See all answers
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 ...
See all answers
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...
See all answers
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...
See all answers
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 ...
See all answers
 

Comparisons

IBM SPSS Statistics vs IBM SPSS Modeler Logo
IBM SPSS Statistics vs IBM SPSS Modeler
Compared 52% of the time
KNIME Business Hub vs IBM SPSS Modeler Logo
KNIME Business Hub vs IBM SPSS Modeler
Compared 10% of the time
Alteryx vs IBM SPSS Modeler Logo
Alteryx vs IBM SPSS Modeler
Compared 4% of the time
Weka vs IBM SPSS Modeler Logo
Weka vs IBM SPSS Modeler
Compared 4% of the time
Altair RapidMiner vs IBM SPSS Modeler Logo
Altair RapidMiner vs IBM SPSS Modeler
Compared 4% of the time
More IBM SPSS Modeler Competitors
Tableau Enterprise vs Microsoft Power BI Logo
Tableau Enterprise vs Microsoft Power BI
Compared 14% of the time
Amazon QuickSight vs Microsoft Power BI Logo
Amazon QuickSight vs Microsoft Power BI
Compared 12% of the time
Domo vs Microsoft Power BI Logo
Domo vs Microsoft Power BI
Compared 7% of the time
Databricks vs Microsoft Power BI Logo
Databricks vs Microsoft Power BI
Compared 6% of the time
KNIME Business Hub vs Microsoft Power BI Logo
KNIME Business Hub vs Microsoft Power BI
Compared 4% of the time
More Microsoft Power BI Competitors
 

Product Reports

Buyer's Guide
IBM SPSS Modeler
October 2025
IBM SPSS Modeler reportDownload IBM SPSS Modeler product report
Buyer's Guide
Microsoft Power BI
October 2025
Microsoft Power BI reportDownload Microsoft Power BI product report
 

Also Known As

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

Overview

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

Buy
https://www.ibm.com/products/spss-modeler/pricing
 
Sign up for the trial
https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947


IBM

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft
 

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
Buyer's Guide
Data Mining
October 2025
Download Free Report
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: October 2025.
DOWNLOAD NOW
872,922 professionals have used our research since 2012.

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.