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Alteryx vs IBM SPSS Modeler comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

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

Alteryx
Ranking in Data Science Platforms
5th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
83
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
IBM SPSS Modeler
Ranking in Data Science Platforms
16th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
40
Ranking in other categories
Data Mining (3rd)
 

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Alteryx is 5.7%, down from 7.2% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.5%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Alteryx5.7%
IBM SPSS Modeler3.5%
Other90.8%
Data Science Platforms
 

Q&A Highlights

SI
Nov 02, 2020
 

Featured Reviews

Theresa McLaughlin - PeerSpot reviewer
Quick development enables seamless data processing despite occasional support issues
There were times when the product would fail during development without an apparent reason. The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system. Licensing negotiations were problematic, affecting our product usage. For instance, our licenses were temporarily lost during negotiations when an agreement couldn't be reached.
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.

Quotes from Members

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

Pros

"Alteryx helps me do a lot of automation. The best thing about Alteryx is that you don't have to repeat the workflow over and over again. Unlike Excel, where you need to write formulas for each new file, Alteryx follows a consistent process. You can schedule and automate the workflow, even if the files change."
"The scheduling within the solution is excellent."
"The most valuable feature for me is integration."
"The drag-and-drop functionality, the ready-to-use analytics module, and the ability to track my data pipelines visually are the solution's most valuable features."
"It saves time on a lot projects. ​"
"The cloud deployment ensures it scales easily."
"Geo features have made spatial mapping large retail universes possible."
"Its initial setup is easy."
"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"
"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."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"Automation is great and this product is very organized."
"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."
"Automated modelling, classification, or clustering are very useful."
"A lot of jobs that are stuck in Excel due to the huge numbers of rows are tackled pretty quickly."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
 

Cons

"It's a technical product and those that don't have proper training will have to deal with a steep learning curve."
"When a process completes there is a notification, but the notification does not include the process's name."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"The solution can be made more affordable."
"Configuration is very low."
"The gallery could improve in Alteryx. Additionally, if there was a Conditional Join feature it would be beneficial. Since I do not have this feature I have to use Python scripts."
"We are hoping that the NLP features will also support Chinese characters."
"The platform's cloud version needs improvements."
"It would be beneficial if the tool would include more well-known machine learning algorithms."
"We have run into a few problems doing some entity matching/analytics."
"The challenge for the very technical data scientists: It is constraining for them.​"
"I think mapping for geographic data would also be a really great thing to be able to use."
"Requires more development."
"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."
"The forecasting could be a bit easier."
 

Pricing and Cost Advice

"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​"
"In my opinion, it's actually quite expensive."
"I rate the tool's pricing a two out of ten."
"It can be a bit pricey, especially after the first year."
"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."
"Opt for the three year subscription. It is 20% less than the yearly one."
"It has a good price."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too 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."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"$5,000 annually."
"I am using the free version of IBM SPSS Modeler, it is the educational edition version."
"It is an expensive product."
"It is a huge increase to time savings."
"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."
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Answers from the Community

SI
Nov 2, 2020
Nov 2, 2020
There are some important differences between both products. So probably, the first question I'll ask you is "for what use case are you evaluating these products?" Of course, there are some general differences, starting with the T.C.O. and functionalities. Alteryx is a code-free and code-friendly platform that allows you to tackle the whole cycle of your data, starting on the consumption from a...
2 out of 5 answers
AB
Nov 11, 2019
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
MR
Nov 11, 2019
I am unfamiliar with the IBM SPSS Modeler but use KNIME and Alteryx for different projects. Alteryx is an excellent, very easy to get started with and get to results data cleansing, ETL, analytics, geospatial modeling, predictive analytics. I build reusable macros in Alteryx, use flexible inputs for what-if modeling, feed information to Power BI or Tableau. It seems price competitive against SPSS.
 

Top Industries

By visitors reading reviews
Financial Services Firm
23%
Manufacturing Company
9%
Computer Software Company
8%
Retailer
6%
Financial Services Firm
12%
Government
11%
Educational Organization
10%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business31
Midsize Enterprise15
Large Enterprise51
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise32
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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 ...
 

Comparisons

 

Also Known As

No data available
SPSS Modeler
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
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
Find out what your peers are saying about Alteryx vs. IBM SPSS Modeler and other solutions. Updated: September 2025.
871,469 professionals have used our research since 2012.