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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
6th
Average Rating
8.4
Reviews Sentiment
7.0
Number of Reviews
84
Ranking in other categories
Predictive Analytics (1st), Data Preparation Tools (1st)
IBM SPSS Modeler
Ranking in Data Science Platforms
13th
Average Rating
8.0
Reviews Sentiment
6.3
Number of Reviews
40
Ranking in other categories
Data Mining (3rd)
 

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of Alteryx is 4.2%, down from 6.6% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.7%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Alteryx4.2%
IBM SPSS Modeler3.7%
Other92.1%
Data Science Platforms
 

Q&A Highlights

SI
BI / Big Data / Analytics Solutions Architect at a energy/utilities company with 5,001-10,000 employees
Nov 02, 2020
 

Featured Reviews

Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.
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.

Quotes from Members

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

Pros

"The most valuable feature of Alteryx is its stand-alone version that we do not have to download dependencies for loads. Additionally, the scan is useful for beginners."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"The product's Macros probably are one of the most useful aspects."
"Alteryx is a low-code platform, and that's the biggest reason why we chose it."
"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"All of the data science features in terms of unioning and joining data together are valuable."
"The drag and drop and layout is simple to understand, with intuitive names of features."
"Stability is good."
"Some basic form of feature engineering for classification models. This really quickens the model development process."
"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."
"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."
"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."
"In the solution, I like the virtualization of data flow since it shows what goes where, which is mostly the strength of the tool."
"We have a local representative who specializes in SPSS. He will help us do the PoC."
"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."
 

Cons

"It would be beneficial if Alteryx could lower its price or introduce a loyalty program for individual consultants and freelancers like me."
"The software is not fully optimized."
"When configuring target tables, it is difficult to see the full text when deciding on load operations."
"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."
"Mastering Alteryx, a comprehensive solution, takes time. However, once you have gained proficiency with its layout and how to drag, drop, and connect components, it becomes remarkably easy, yet still thorough."
"A feature which allows the user to be able to click on an output (in a file browser) and see the creation of the module would be fantastic."
"Even when it already includes some AI models, this area could be improved."
"Alteryx needs to focus on the supply chain aspect since detecting financial figures and data anomalies is currently insufficient."
"I think mapping for geographic data would also be a really great thing to be able to use."
"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."
"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."
"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."
"It is not integrated with Qlik, Tableau, and Power BI."
"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."
"Neural networks are quite simple, and now neural networks are evolving to these architecture related to deep learning, etc. They didn't incorporate this in IBM SPSS Modeler."
"The integration with sources and visualisation needs some improvement. The scalability needs improvement."
 

Pricing and Cost Advice

"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."
"I don't know much about the licensing, but there are some additional costs for certain features."
"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).​"
"The designer has a list price of $5,995 USD."
"​Very transparent.​"
"If one is a high price, and ten is a low price, I rate the tool's price as a one. The tool is expensive."
"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
"I rate the solution's pricing as a ten, as it is highly priced."
"If you are in a university and the license is free then you can use the tool without any charges, which is good."
"It is an expensive product."
"$5,000 annually."
"Its price is okay for a company, but for personal use, it is considered somewhat 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."
"It is a huge increase to time savings."
"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."
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Answers from the Community

SI
BI / Big Data / Analytics Solutions Architect at a energy/utilities company with 5,001-10,000 employees
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
Professor Adjunct at a university with 5,001-10,000 employees
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
Senior Enterprise Architect at a individual & family service with 1,001-5,000 employees
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%
Government
12%
Financial Services Firm
12%
University
9%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise53
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 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...
 

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: December 2025.
881,078 professionals have used our research since 2012.