IBM SPSS Modeler vs Saturn Cloud comparison

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3,065 views|2,425 comparisons
85% willing to recommend
Saturn Cloud Logo
102 views|35 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Modeler and Saturn Cloud based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM SPSS Modeler vs. Saturn Cloud Report (Updated: March 2024).
771,157 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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.""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.""Stability is good.""Some basic form of feature engineering for classification models. This really quickens the model development process.""It is very scalable for non-technical people.""We are using it either for workforce deployment or to improve our operations.""The visual modeling capability is one of its attractive features.""Extremely easy to use, it offers a generous selection of proprietary machine learning algorithms."

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

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Cons
"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.""The forecasting could be a bit easier.""The platform's cloud version needs improvements.""​I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities.​""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.""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.""I can say the solution is outdated.""The platform that you can deploy it on needs improvement because I think it is Windows only. I do not think it can run off a Red Hat, like the server products. I am pretty sure it is Windows and AIX only."

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"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.""Public Clouds integration and sandbox environments would be a true game changer.""Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience.""We'd like to have the capability for installing more libraries.""It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

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Pricing and Cost Advice
  • "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."
  • "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 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."
  • "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."
  • "It got us a good amount of money with quick and efficient modeling."
  • "$5,000 annually."
  • "This tool, being an IBM product, is pretty expensive."
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    771,157 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Compared to other tools, the product works much easier to analyze data without coding.
    Top Answer:The platform's cloud version needs improvements. The process to access workflow could be user-friendly. It could be easier to log in and manage security levels. Additionally, it needs to be more… more »
    Top Answer:There is plenty of computational resources (both GPU, CPU and disk space).
    Top Answer:I would like more documentation about edge and advanced use cases. The official Docker images are only based on Debian: I would like to find official Docker images also based on other systems like… more »
    Top Answer:Saturn Cloud provides a hosted environment where it's possible to work with various software programming tools (e.g., Jupyter Python notebooks, Julia, R and more). The system is containerized and… more »
    Ranking
    12th
    Views
    3,065
    Comparisons
    2,425
    Reviews
    6
    Average Words per Review
    372
    Rating
    7.3
    8th
    Views
    102
    Comparisons
    35
    Reviews
    5
    Average Words per Review
    642
    Rating
    10.0
    Comparisons
    Also Known As
    SPSS Modeler
    Learn More
    IBM
    Video Not Available
    Saturn Cloud
    Video Not 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.

    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


    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.
    Top Industries
    REVIEWERS
    University23%
    Financial Services Firm17%
    Manufacturing Company14%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization16%
    Financial Services Firm10%
    Computer Software Company9%
    University8%
    No Data Available
    Company Size
    REVIEWERS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    No Data Available
    Buyer's Guide
    IBM SPSS Modeler vs. Saturn Cloud
    March 2024
    Find out what your peers are saying about IBM SPSS Modeler vs. Saturn Cloud and other solutions. Updated: March 2024.
    771,157 professionals have used our research since 2012.

    IBM SPSS Modeler is ranked 12th in Data Science Platforms with 38 reviews while Saturn Cloud is ranked 8th in Data Science Platforms with 5 reviews. IBM SPSS Modeler is rated 8.0, while Saturn Cloud is rated 10.0. The top reviewer of IBM SPSS Modeler writes "Easy to use, quick to learn, and offers many ways to analyze data". On the other hand, the top reviewer of Saturn Cloud writes "Great support, good availability, and seamless integration capabilities". IBM SPSS Modeler is most compared with KNIME, Microsoft Power BI, RapidMiner, IBM SPSS Statistics and Alteryx, whereas Saturn Cloud is most compared with Amazon SageMaker and Remote Desktop with Multi-user support by Aurora. See our IBM SPSS Modeler vs. Saturn Cloud report.

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    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.