Alteryx vs IBM SPSS Modeler comparison

Alteryx and IBM are both solutions in the Data Science Platforms category. Alteryx is ranked #4 with an average rating of 8.3, while IBM is ranked #13 with an average rating of 6.8. Alteryx holds a 6.1% mindshare in Data Science Platforms, compared to IBM’s 2.4% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Alteryx

Read 82 Alteryx reviews

5,819 Views
3,843 Comparison Views

89% willing to recommend

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

1,698 Views
1,397 Comparison Views

86% willing to recommend

Alteryx

IBM SPSS Modeler

Comparison Buyer's Guide

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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 2025).

Buyer's Guide

Alteryx vs. IBM SPSS Modeler

April 2025

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

4th

Average Rating

8.4

Reviews Sentiment

7.0

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

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

Mindshare comparison

As of May 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.1%, down from 7.8% compared to the previous year. The mindshare of IBM SPSS Modeler is 2.4%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

Theresa McLaughlin

Senior Capacity Planner at a financial services firm with 10,001+ employees

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.

Read full review

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.

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

"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."

"There are a lot of good customization capabilities."

"Good data transformation."

"The solution has a very strong community that is involved in the product. It helps make the usage easier and helps us find answers to our questions."

"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 drag-and-drop features are useful for data scientists who do not like to code because it is already in the system."

"The value add of Alteryx is the agility for making changes, and speed of deployment."

"The analytics are easy."

More Alteryx pros

"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."

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

"I think it is the point and drag features that are the most valuable. You can simply click at the windows, and then pull up the functions."

"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."

"It will scale up to anything we need."

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

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"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."

More IBM SPSS Modeler pros

Cons

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

"They can provide some pre-built tools for predictive analytics instead of us having to build all the tools. It should also be improved from the visualization aspect. It should have better visualization capabilities. There are tools out there that have better visualization capabilities, which Alteryx is lacking currently."

"There are a few imputation techniques which they really need to include."

"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."

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

"What they're struggling with is it's not as mature as Tableau in the user management area. It was tougher to manage the server part of it right away, especially since the user base has grown."

"The pricing seems high for my current needs. However, considering the benefits, it is easier to justify to management for broader company usage."

"The server is too expensive for what you get and it really a designer desktop on a server."

More Alteryx cons

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"I think mapping for geographic data would also be a really great thing to be able to use."

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

"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."

"I can say the solution is outdated."

"Formula writing is not straightforward for an Excel user. Totally new set of functions, which takes time to learn and teach."

"Initial setup of the software was complex, because of our own problems within the government."

"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."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The pricing is $5000 per year per production license."

"It's probably on the pricey side, but they provide some really useful ways to grow and test."

"Very transparent."

"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."

"The cost of the solution could be reduced."

"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."

"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."

"The license price of the solution is expensive."

More Alteryx pricing and cost advice

"It is an expensive product."

"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."

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

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

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

"$5,000 annually."

"It is a huge increase to time savings."

"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."

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 Vertex Inc.

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

24%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Financial Services Firm

13%

Educational Organization

11%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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 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

Comparisons

Dataiku vs Alteryx

Compared 18% of the time

KNIME vs Alteryx

Compared 15% of the time

Databricks vs Alteryx

Compared 11% of the time

Altair RapidMiner vs Alteryx

Compared 7% of the time

Domino Data Science Platform vs Alteryx

Compared 2% of the time

More Alteryx Competitors

Microsoft Power BI vs IBM SPSS Modeler

Compared 27% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 20% of the time

KNIME vs IBM SPSS Modeler

Compared 16% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 8% of the time

SAS Enterprise Miner vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Product Reports

Buyer's Guide

Alteryx

May 2025

Download Alteryx product report

Buyer's Guide

IBM SPSS Modeler

April 2025

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

Sign up for the trial
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 2025

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