IBM SPSS Modeler vs Microsoft Power BI comparison

The compared IBM and Microsoft solutions aren't in the same category. IBM is ranked #4 in DM , with an average rating of 7.0, and holds a 17.0% mindshare in the category. Microsoft is ranked #1 in BIT , with an average rating of 7.9, and holds a 22.6% 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 39 IBM SPSS Modeler reviews

1,149 Views
933 Comparison Views

86% willing to recommend

Microsoft Power BI

Read 319 Microsoft Power BI reviews

25,672 Views
20,611 Comparison Views

93% willing to recommend

IBM SPSS Modeler

Microsoft Power BI

Comparison Buyer's Guide

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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, Weka, IBM and others in Data Mining.

To learn more, read our detailed Data Mining Report (Updated: December 2024).

Buyer's Guide

Data Mining

December 2024

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Helped 831,881 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

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th), Data Science Platforms (13th)

Microsoft Power BI

Average Rating

8.0

Reviews Sentiment

7.3

Number of Reviews

319

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 17.0%, up 16.5% compared to last year.
Microsoft Power BI, on the other hand, focuses on BI (Business Intelligence) Tools, holds 22.6% mindshare, up 22.5% since last year.

Data Mining

BI (Business Intelligence) Tools

Featured Reviews

PeterHuo

Application Architect at Canada Border Services Agency

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.

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Shoury Priyanshu

Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd

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

"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."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"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 visual modeling capability is one of its attractive features."

"It is pretty scalable."

"Automated modelling, classification, or clustering are very useful."

"It's a very organized product. It's easy to use."

More IBM SPSS Modeler pros

"Power BI's integration with other tools is very good."

"The product is scalable."

"The best feature of this solution is the way you can plan, communicate, and visualize all the knowledge you extract from the data for the customers. I like the way you can show or visualize the information a client needs to answer a business question."

"There is also a chart store where we can download charts, which is extremely useful."

"The most valuable feature would be the abundance of connectors. It is also easy to use."

"The product is user-friendly."

"Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau."

"I have found the quick reporting and the conductivity with all the data sources valuable."

More Microsoft Power BI pros

Cons

"The product does not have a search function for tags."

"The forecasting could be a bit easier."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"The biggest issue with the visual modeling capability is that we can't extract the SQL code under the hood."

"The standard package (personal) is not supported for database connection."

"The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

"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."

"We have run into a few problems doing some entity matching/analytics."

More IBM SPSS Modeler cons

"They asked you to pay if you want to synchronize more than eight times, you would have to go to a Power BI enterprise license, which is much more costly."

"Their technical support can be better. They normally take too long to escalate and resolve a case."

"Capacity could be improved."

"It should be more user-friendly and simple."

"This solution's performance when handling big data could be improved. Right now, if you're handling big data, the application becomes slow and the performance is very low."

"I would like to see a change in the premium capacity."

"It is not leading the charge on scalability, but it meets expectations."

"I would like to see the product offer more graphics to impact different audiences."

More Microsoft Power BI cons

Pricing and Cost Advice

"This tool, being an IBM product, is pretty expensive."

"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."

"Its price is okay for a company, but for personal use, it is considered somewhat 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."

"It is an expensive product."

"$5,000 annually."

"It got us a good amount of money with quick and efficient modeling."

More IBM SPSS Modeler pricing and cost advice

"Power BI is subscription-based, and you have three options. The Pro edition, which is the standard one, is about $9 per user. The Premium edition, which provides AI and cloud capabilities but at a limited size, is for small to medium enterprises. It is about $20 per user. For large enterprises, such as manufacturing facilities, there is an option for the capacity. The capacity subscription is about $4,000 per capacity level. They also have an option for the on-premises version, but it is not common to see someone going for the on-premises version. The on-premises version requires a specific license that is attached to SQL Server. I believe it is about $17,000, but I'm not sure about it."

"Costs less than most competing solutions."

"Compared to what's available on the market, I think we pay a fair price."

"I have not had a customer suggest the solution is too expensive. There are licenses to use the solution."

"In general, Microsoft BI's price is lower compared to Alteryx."

"Its licensing cost is very high. It is $20 per user, which is very high, but it is a good product, so you pay for it."

"Microsoft BI for desktop is free to use, and you can download and use it."

"This solution came free, it was offered by Microsoft with our E3 license."

More Microsoft Power BI pricing and cost advice

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Comparison Review

it_user79932

Senior Manager - BI Head at NVidia

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

Educational Organization

13%

Financial Services Firm

12%

Computer Software Company

University

Educational Organization

43%

Financial Services Firm

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

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

Compared 16% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

Alteryx vs IBM SPSS Modeler

Compared 7% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Tableau vs Microsoft Power BI

Compared 16% of the time

Domo vs Microsoft Power BI

Compared 9% of the time

Amazon QuickSight vs Microsoft Power BI

Compared 8% of the time

Databricks vs Microsoft Power BI

Compared 7% of the time

Qlik Sense vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

Product Reports

Buyer's Guide

IBM SPSS Modeler

January 2025

Download IBM SPSS Modeler product report

Buyer's Guide

Microsoft Power BI

January 2025

Download 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

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Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: December 2024.

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