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

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 (4th), Data Science Platforms (17th)
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 15.7%, down 16.7% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 14.5% mindshare, down 21.9% since last year.
Data Mining Market Share Distribution
ProductMarket Share (%)
IBM SPSS Modeler15.7%
KNIME Business Hub22.1%
Weka15.0%
Other47.2%
Data Mining
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI14.5%
Tableau Enterprise11.0%
Amazon QuickSight4.9%
Other69.6%
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.
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Facilitates seamless data aggregation with some outdated visual elements hindering user appeal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.

Quotes from Members

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

Pros

"You take two quarters and compare them and this tool is ideal because it gives you a lot of visibility on the before and after."
"So far, the stability has been rock solid."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"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."
"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."
"IBM was chosen because of usability. It's point and click, whereas the other out-of-the box-solution, or open-source solutions, require full-on programming and a much higher skill level."
"The quality is very good."
"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."
"Microsoft BI was very helpful for me because I had a huge variety of connections. It is very convenient to build reports, even if somebody has no experience using BI tools or data visualizations. Additionally, the performance is very good when generating reports."
"The main feature I find valuable is the possibility to work with an extensive amount of data."
"With Power BI, you're able to store your data within spreadsheets and SharePoints, and then have Power BI pull the data out and report on it. So we actually saved a ton of money not needing to load the data into databases, which is a big prerequisite for many other reporting tools."
"Microsoft BI's most valuable features are the user interface, which is easy to use and light."
"It ingegrates nicely with Office 365."
"I have found the quick reporting and the conductivity with all the data sources valuable."
"Technical support has been great."
"Power BI has strong support from Microsoft. If you need help, they answer promptly. There are also several discussion groups where you can get information, like the product roadmap and any new things coming up."
 

Cons

"It is not integrated with Qlik, Tableau, and Power BI."
"I think mapping for geographic data would also be a really great thing to be able to use."
"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."
"C&DS will not meet our scalability needs."
"Customer support is hard to contact."
"Unstructured data is not appropriate for SPSS Modeler."
"I can say the solution is outdated."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
"It is too slow. I hope in future it will be a comparable big data tool, such as, for example, Data Lake."
"here are still better UI designs they can go through. I'm assuming they are focusing more on capabilities rather than look-and-feel designs."
"It is not yet ready for enterprises. For a big enterprise data model, it is not so stable, and it also doesn't scale so well."
"​It needs more analytic tools."
"I believe the price should be degressive, and we should have a lower, or better unit price if we have more users."
"I have found using Microsoft BI is not easy. For example, trying to use the auto-refresh feature is not simple."
"The upgrade process could be improved."
"Regarding real-time analytics features in Microsoft Power BI, I don't find them particularly useful. I use process mapping, but from my point of view, there are not enough analytical tools."
 

Pricing and Cost Advice

"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"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."
"$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."
"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 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."
"They are charging us by users in storage, and there is a license fee. My financial people handle all that. The client has already worked out a contract with Microsoft, and basically, we're getting government prices."
"Its pricing is great."
"The cost of the solution is more flexible for us because the desktop is free and we pay as we use it in the cloud."
"I think it's a good price, from what I've heard. I know it's competitive with other Power BI tools."
"We have premium licenses, but you can use it for free. You can share the content with anyone else, so you can use it for free."
"The current licensing model that Microsoft BI has is expensive. My customers have told me the cost is approximately $20 per user and this can get expensive fast. There should be a one-time purchase option if the customer has a lot of users."
"It is a cheap solution for our needs."
"The Report Server is pretty expensive on-premise. But as long companies are happy to use the cloud version, that's very cost effective."
report
Use our free recommendation engine to learn which Data Mining solutions are best for your needs.
867,349 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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
12%
Educational Organization
11%
Government
10%
University
9%
Financial Services Firm
12%
Computer Software Company
9%
Government
9%
Manufacturing 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.
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 ...
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: August 2025.
867,349 professionals have used our research since 2012.