Alteryx vs IBM SPSS Modeler comparison

Alteryx and IBM are both solutions in the Data Science Platforms category. Alteryx is ranked #5 with an average rating of 8.2, while IBM is ranked #13 with an average rating of 8.0. Alteryx holds a 3.5% mindshare in Data Science Platforms, compared to IBM’s 3.2% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Alteryx

Read 85 Alteryx reviews

7,504 Views
4,202 Comparison Views

89% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

3,108 Views
2,331 Comparison Views

86% willing to recommend

Alteryx

IBM SPSS Modeler

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Executive SummaryUpdated on Dec 5, 2024

Alteryx and IBM SPSS Modeler operate in the realm of data analytics and predictive modeling. Alteryx has the upper hand in user experience due to its no-code approach, whereas IBM SPSS Modeler leverages strong statistical tools and integration with Python and R.

Features: Alteryx stands out with its intuitive drag-and-drop interface for data blending and predictive analytics, along with robust machine learning capabilities. It provides excellent spatial tools for geographic analysis and supports in-database analytics. IBM SPSS Modeler is notable for its visual programming and extensive statistical models, allowing easy integration with Python and R for deeper customization. Its predictive modeling strengths are particularly appealing to users.

Room for Improvement: Alteryx could enhance its offering with more advanced in-database functionalities, improved visualization tools, and better cloud integration. IBM SPSS Modeler needs to improve real-time data processing speeds, open-source feature support, and deployment environments like Linux.

Ease of Deployment and Customer Service: Alteryx offers flexibility with both on-premises and public cloud deployments, backed by an active user community. While customer service is generally regarded highly, it can be inconsistent. IBM SPSS Modeler is largely on-premises, benefiting from an active partner network and flexible pricing within large agreements.

Pricing and ROI: Alteryx is perceived as expensive but offers significant ROI through efficiency and robust support, with scalable pricing for larger enterprises. IBM SPSS Modeler’s costs are high relative to its tool level, yet flexible licensing can reduce expenses. Both tools provide considerable ROI, with Alteryx users experiencing higher satisfaction due to time and resource savings.

To learn more, read our detailed Alteryx vs. IBM SPSS Modeler Report (Updated: April 2026).

Buyer's Guide

Alteryx vs. IBM SPSS Modeler

April 2026

Download the complete report

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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

6.9

Number of Reviews

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

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of April 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.5%, down from 6.2% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.2%, up from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
Alteryx	3.5%
IBM SPSS Modeler	3.2%
Other	93.3%

Data Science Platforms

Q&A Highlights

SALVADOR ANTONIO IORIO DE JUNIOR

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

Nov 02, 2020

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.

See all answers

Featured Reviews

Rajneesh Prajapati

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.

Read full review

Prof. Dr. Rudolf Bisping

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.

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 super easy to learn how to use it — the learning curve is very small."

"Using the product, we earn a lot of time, which is used to do other tasks."

"The solution has excellent drag and drop functionality, there's no need for coding, and there are nodes ready for us to use as well, which makes everything extremely easy and the user-friendliness a big draw for us."

"Alteryx is easier to set up and implement and allowed us to also focus on different aspects of the business."

"The most valuable feature of Alteryx is its unlimited handling capabilities."

"The tools are built-in; you just plug and play, drag and drop, and once you understand how to use the tools, it is easy."

"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."

"The solution does a good job with data transformation."

More Alteryx pros

"Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."

"We are primarily interested in the supply chain data analytics, focusing mainly on procurement, because we believe that there is a lot of value in spend analytics in understanding and identifying opportunities, reducing prices, improving negotiations, and better understanding the categories."

"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."

"We use analytics with the visual modeling capability to leverage productivity improvements."

"The quality is very good."

"We are using it either for workforce deployment or to improve our operations."

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype."

"We have been able to do some predictive modeling with it"

More IBM SPSS Modeler pros

Cons

"If there is any way to make the learning curve less steep, that would be ideal."

"This is a proprietary tool and maybe the open source part of it could be improved."

"Sometimes workflows tend to queue up, and they tend to get canceled for some reason that we don't know sometimes."

"When the workflows are huge and complex, it may take some time to refresh it."

"There is currently no cloud solution and this would be valuable for many clients."

"In the database, it should be more functional and connect to more big data, especially using IPI."

"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."

"The product could benefit from improved integration with visualization tools or even the inclusion of built-in visualization features."

More Alteryx cons

"Dimension reduction is very important, especially if you are working with millions of recordings and thousands of variables."

"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 very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

"C&DS will not meet our scalability needs."

"When you are not using the product, such as during the pandemic where we had worldwide lockdowns, you still have to pay for the licensing."

"The integration with sources and visualisation needs some improvement. The scalability needs improvement."

"When I do clustering, I want to try a different stream, but currently the only thing that I can really pick is averaging."

"It's not as user friendly as it could be."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The price could be better."

"Alteryx isn't extortionately expensive, but it's not cheap either."

"The license price of the solution is expensive."

"Alteryx is generally more suited for medium—to large companies due to its potentially high licensing costs."

"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."

"In my opinion, it's actually quite expensive."

"The solution has a more costly license than other tools in the market."

"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."

More Alteryx pricing and cost advice

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

"It is a huge increase to time savings."

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

"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."

"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."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

"It is an expensive product."

More IBM SPSS Modeler pricing and cost advice

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Answers from the Community

SALVADOR ANTONIO IORIO DE JUNIOR

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

Nov 2, 2020

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?

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

Abdellah Benaoussar

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.

Read full answer

Michael Roytman, MBA Global Management

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.

Read full answer

See all 5 answers

Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

11%

Government

10%

University

Outsourcing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	15
Large Enterprise	54

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

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.

See all answers

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...

See all answers

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...

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

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...

See all answers

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Compared 35% of the time

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Compared 5% of the time

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Compared 4% of the time

SAS Enterprise Miner vs IBM SPSS Modeler

Compared 4% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 3% of the time

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Product Reports

Buyer's Guide

Alteryx

April 2026

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Buyer's Guide

IBM SPSS Modeler

April 2026

Download IBM SPSS Modeler product report

Also Known As

No data available

SPSS Modeler

Overview

Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

With Alteryx You Can:

Prep, blend, and analyze data
Deliver faster, better business outcomes
Automate analytics and data science
Embed intelligent decisioning
Deploy and share analytics in hours

Alteryx Features Include:

Some of the most valuable Alteryx features include:

Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

Alteryx Can Be Used For:

Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.
Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.
Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.
Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).
Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

Alteryx Benefits

Some of the benefits of using Alteryx include
:

Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.
Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.
Excellent workflow compatibility.
Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.
Fast data loading: Alteryx has tools that make it very effective when working with big data sets.
No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.
Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

Reviews from Real Users

"Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

"Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

"The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

"The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

“A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

"There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company

Alteryx

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

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

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

Buyer's Guide

Alteryx vs. IBM SPSS Modeler

April 2026

Free Report: Alteryx vs. IBM SPSS Modeler

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