IBM SPSS Statistics vs Saturn Cloud comparison

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IBM SPSS Statistics

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Statistics and Saturn Cloud are complementary analytics tools in the analytics domain. IBM SPSS Statistics holds an edge in comprehensive data analysis with its robust statistical capabilities, while Saturn Cloud shines with cloud-based scalability and speed.

Features: IBM SPSS Statistics offers extensive statistical functions, integration with various data sources, and a user-friendly interface. Saturn Cloud provides fast and scalable computing resources, seamless integration with Jupyter notebooks, and supports GPU for complex tasks.

Room for Improvement: IBM SPSS Statistics could enhance its cloud functionalities and offer more dynamic scalability options. Saturn Cloud might benefit from more advanced statistical analysis tools and improved offline capabilities. Both products could enhance user interface intuitiveness.

Ease of Deployment and Customer Service: IBM SPSS Statistics requires traditional software deployment but benefits from strong community and vendor support. Saturn Cloud simplifies deployment through cloud technology, offering easy scaling and a streamlined setup process, advantageous for agile environments.

Pricing and ROI: IBM SPSS Statistics often involves higher initial costs with potential for significant ROI through comprehensive analysis capabilities. Saturn Cloud provides a cost-effective solution with flexible cloud pricing, making it suitable for organizations needing dynamic scale and computational resources.

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

IBM SPSS Statistics vs. Saturn Cloud

December 2025

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Helped 881,082 peers since 2012

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 Statistics

Ranking in Data Science Platforms

9th

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Mining (2nd), AI Data Analysis (13th), AI Research (1st)

Saturn Cloud

Ranking in Data Science Platforms

17th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 4.0%, up from 2.7% compared to the previous year. The mindshare of Saturn Cloud is 0.5%, up from 0.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
IBM SPSS Statistics	4.0%
Saturn Cloud	0.5%
Other	95.5%

Data Science Platforms

Featured Reviews

EzzAbdelfattah

Associate Professor Of Statistics at a university with 10,001+ employees

Advanced predictive analytics have supported my research and student projects across many methods

The only function I may need to be added or hope to be added to IBM SPSS Statistics is how to treat unstructured data. This mainly exists with IBM SPSS Modeler, but I do not think it is able to treat something like videos and similar content unless you are using languages like Python inside IBM SPSS Modeler or inside IBM SPSS Statistics. For the menu itself, for the selection, it does not exist. Thinking of the future, I believe that the owners of IBM SPSS Statistics should think about improving the package itself to be able to treat unstructured data.

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Alessandro Trinca Tornidor

Sviluppatore software at TeamSystem

Good for creating POCs, training machine learning models, and experimenting without local resources

The project I’m currently working on relies on CUDA, but my local PC does not have any Nvidia GPUs. I’ve found the computational resources and ease of use provided by Saturn Cloud invaluable. Also, there are many ready-to-use Docker images and a rich documentation portal with useful examples. The dashboard for creating a new virtual environment contains almost all the features I needed: environment variable definitions, git repositories cloning directly from the new resources page, and an edit field to define a custom script during the boot process. For this reason, Saturn Cloud.io is a very good solution for creating POCs, training machine learning models, and generally experimenting a bit without worrying about local resources.

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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

"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."

"The most valuable feature is its robust statistical analysis capabilities."

"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."

"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."

"The most valuable features are the small learning curve and its ability to hold a lot of data."

"The most valuable feature is the user interface because you don't need to write code."

"It has helped our analyst unit deliver work with more transparency and confidence, given that we can always view the dataset in totality, after each step of data transformation."

"SPSS is quite robust and quicker in terms of providing you the output."

More IBM SPSS Statistics pros

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

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

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

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

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

"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."

Cons

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

"The solution needs more planning tools and capabilities."

"The technical support should be improved."

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"The design of the experience can be improved."

"The statistics should be more self-explanatory with detailed automated reports."

"Better documentation on how to use macros."

More IBM SPSS Statistics 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."

"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."

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

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

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

Pricing and Cost Advice

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."

"I rate the tool's pricing a five out of ten."

"While the pricing of the product may be higher, the accompanying service and features justify the investment."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"More affordable training for new staff members."

"The price of this solution is a little bit high, which was a problem for my company."

"The price of IBM SPSS Statistics could improve."

More IBM SPSS Statistics pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

University

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	6
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	3

Questions from the Community

What do you like most about IBM SPSS Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

What is your experience regarding pricing and costs for IBM SPSS Statistics?

I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...

What needs improvement with IBM SPSS Statistics?

I have faced some challenges with IBM SPSS Statistics; you need to know what you're doing because it's not very user-friendly. It's not something a person can come and intuitively work with. The ba...

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?

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 ...

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 ...

IBM SPSS Modeler vs IBM SPSS Statistics

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Product Reports

Download IBM SPSS Statistics product report

IBM SPSS Statistics

January 2026

Download Saturn Cloud product report

January 2026

Also Known As

SPSS Statistics

No data available

Overview

IBM SPSS Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

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

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA

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