IBM SPSS Modeler vs Saturn Cloud comparison

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IBM SPSS Modeler

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and Saturn Cloud are data analytics products with unique features. While IBM SPSS Modeler is strong in statistical analysis, Saturn Cloud stands out due to its cloud computing power, providing a stronger solution for large-scale data projects.

Features: IBM SPSS Modeler offers detailed statistical analysis, robust data mining features, and point-and-click functionality for ease of use. Saturn Cloud excels with its scalable use of Dask and RAPIDS, seamless integration with Jupyter Notebooks, and powerful GPU support for machine learning tasks.

Room for Improvement: IBM SPSS Modeler could enhance its scalability and integration with cloud technologies and improve on ease of use for data visualization tasks. Saturn Cloud could benefit from expanded support for alternative cloud environments, greater flexibility in data storage solutions, and more comprehensive training resources for users unfamiliar with cloud-native tools.

Ease of Deployment and Customer Service: Saturn Cloud's cloud-native model allows for quick setup and flexible scaling, with strong support during the transition. IBM SPSS Modeler, usually on-premise, requires longer setup but provides comprehensive support, helping users with integration and troubleshooting.

Pricing and ROI: IBM SPSS Modeler has higher upfront costs due to its extensive features, which can slow ROI. Saturn Cloud’s cloud-based pricing model offers cost efficiency and faster ROI for companies prioritizing agile and scalable solutions.

To learn more, read our detailed IBM SPSS Modeler vs. Saturn Cloud Report (Updated: June 2025).

IBM SPSS Modeler vs. Saturn Cloud

June 2025

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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

IBM SPSS Modeler

Ranking in Data Science Platforms

14th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

Saturn Cloud

Ranking in Data Science Platforms

9th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

AWS Marketplace (17th)

Mindshare comparison

As of June 2025, in the Data Science Platforms category, the mindshare of IBM SPSS Modeler is 2.5%, down from 2.6% compared to the previous year. The mindshare of Saturn Cloud is 0.2%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

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.

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Filip Stefanovski

Works at a tech consulting company with 51-200 employees

Easy to use with good performance and collaborative features

My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer. Users could bid on unused compute capacity, potentially leading to significant cost savings during off-peak hours or for less time-critical tasks. Spot instances empower users with tighter budgets or fluctuating workloads to strategically leverage lower-cost resources for development, experimentation, and background tasks. This frees up on-demand instances for truly time-sensitive work.

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Quotes from Members

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

Pros

"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."

"It gives you a GUI interface, which is a lot more user-friendly and easier to use compared to writing R scripts or Python."

"It scales. I have not run into any challenges where it will not perform."

"It handles large data better than the previous system that we were using, which was basically Excel and Access. We serve upwards of 300,000 parts over a 150 regions and we need to crunch a lot of numbers."

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

"It's very easy to use. The drag and drop feature makes it very easy when you are building and testing the streams. That's very useful."

"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."

"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."

More IBM SPSS Modeler pros

"There is plenty of computational resources (both GPU, CPU and disk space)."

"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."

"It offered an excellent development environment while not touching our production cloud resources."

"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."

"They provide a centralized space for data, code, and results."

"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."

Cons

"The challenge for the very technical data scientists: It is constraining for them."

"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 standard package (personal) is not supported for database connection."

"Unstructured data is not appropriate for SPSS Modeler."

"It would be good if IBM added help resources to the interface."

"It is not integrated with Qlik, Tableau, and Power BI."

"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 product does not have a search function for tags."

More IBM SPSS Modeler cons

"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."

"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."

"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

"Public Clouds integration and sandbox environments would be a true game changer."

"We'd like to have the capability for installing more libraries."

"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."

Pricing and Cost Advice

"It is an expensive product."

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

"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 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."

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

"$5,000 annually."

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

More IBM SPSS Modeler pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

12%

Educational Organization

10%

Government

University

No data available

Company Size

By reviewers

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Midsize Enterprise

Small Business

Questions from the Community

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?

What do you like most about Saturn Cloud?

There is plenty of computational resources (both GPU, CPU and disk space).

What needs improvement with Saturn Cloud?

What is your primary use case for Saturn Cloud?

I'm leveraging a cloud-based platform for competitive machine learning. Tight deadlines and resource-intensive models demand powerful hardware. The cloud provides scalable GPUs and RAM, letting me ...

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Product Reports

Download IBM SPSS Modeler product report

IBM SPSS Modeler

June 2025

Download Saturn Cloud product report

May 2025

Also Known As

SPSS Modeler

No data available

Overview

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.

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https://www.ibm.com/products/spss-modeler/pricing

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IBM

Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

Sample Customers

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

Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.