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 8.4, while IBM is ranked #13 with an average rating of 7.0. Alteryx holds a 6.5% mindshare in Data Science Platforms, compared to IBM’s 2.3% mindshare. Additionally, 89% of Alteryx users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Alteryx

Read 81 Alteryx reviews

7,033 Views
4,659 Comparison Views

89% willing to recommend

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

1,980 Views
1,602 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: January 2025).

Buyer's Guide

Alteryx vs. IBM SPSS Modeler

January 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 February 2025, in the Data Science Platforms category, the mindshare of Alteryx is 6.5%, down from 8.2% compared to the previous year. The mindshare of IBM SPSS Modeler is 2.3%, down from 2.8% 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

"The most valuable feature for me is integration."

"Good data transformation."

"Alteryx's connectivity is essential. We like the ability to connect the solution to multiple sources. It's easier than other data modeling and extraction solutions. It's built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."

"I like the fact that you can easily blend data from different platforms."

"It helps clean messy data and provides spatial analysis."

"I like that I can merge data from different sources into one place."

"There are a lot of good customization capabilities."

"The Alteryx designer has been the most useful feature in the solution."

More Alteryx pros

"It helped me in that I didn't need to write them by hand, and I could get a result in one or two minutes. That helped me a lot."

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

"It will scale up to anything we need."

"Our business units' capabilities with SPSS Modeler is high. They no longer waste time on modeling and algorithms, meaning they are not coding any more. For example, segmentation projects now take one to three months, rather than six months to a year, as before."

"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 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."

"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"

"It is pretty scalable."

More IBM SPSS Modeler pros

Cons

"We can't browse multiple files. When we deploy a solution on a gallery, let's say I have ten different files, and I have to upload them all at once. This is something that's difficult in the gallery. So case by case, I see some downsides, but often we do something alternative."

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

"The data integration component could most likely be improved to increase enterprise scalability."

"The solution can be made more affordable."

"Alteryx's development environment could be improved as it requires installation locally and can't be developed in the cloud."

"The solution could improve in the visualization."

"There's a big jump in terms of pricing between license tiers. I'm not sure I understand why the price jumps are so high."

"Sometimes, there are performance constraints. Especially when a large file has to be ingested, the system slows down a bit. Its performance is the only thing that can be improved."

More Alteryx cons

"Requires more development."

"When I used it in the office, back in the day, we did have some stability issues. Sometimes it just randomly crashed and we couldn't get good feedback. But when I use it for my own stuff now I don't have any problems."

"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."

"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."

"I can say the solution is outdated."

"The time series should be improved."

"If IBM could add some of the popular models into the SPSS for further analysis, like popular regression models, I think that would be a helpful improvement."

"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."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."

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

"The designer has a list price of $5,995 USD."

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

"It can be a bit pricey, especially after the first year."

"The license price of the solution is expensive."

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

"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."

More Alteryx pricing and cost advice

"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."

"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 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."

"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."

"It is a huge increase to time savings."

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

"$5,000 annually."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

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%

Manufacturing Company

10%

Computer Software Company

Healthcare Company

Financial Services Firm

13%

Educational Organization

12%

Computer Software Company

University

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

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Databricks vs Alteryx

Compared 10% of the time

RapidMiner vs Alteryx

Compared 7% of the time

Microsoft Azure Machine Learning Studio vs Alteryx

Compared 2% of the time

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Microsoft Power BI vs IBM SPSS Modeler

Compared 28% of the time

IBM SPSS Statistics vs IBM SPSS Modeler

Compared 18% of the time

KNIME vs IBM SPSS Modeler

Compared 16% of the time

RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

More IBM SPSS Modeler Competitors

Product Reports

Buyer's Guide

Alteryx

February 2025

Download Alteryx product report

Buyer's Guide

IBM SPSS Modeler

February 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

January 2025

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