IBM SPSS Statistics vs SAS Enterprise Miner comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between IBM SPSS Statistics and SAS Enterprise Miner based on real PeerSpot user reviews.

Find out in this report how the two Data Mining solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed IBM SPSS Statistics vs. SAS Enterprise Miner Report (Updated: March 2024).
765,386 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
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics.""The SPSS interface is very accessible and user-friendly. It's really easy to get information in it. I've shared it with experts and beginners, and everyone can navigate it.""The most valuable feature is the user interface because you don't need to write code.""One feature I found very valuable was the analysis of variance (ANOVA).""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 into multidimensional setup space. It's the multidimensional space facility that is most useful.""The most valuable feature is its robust statistical analysis capabilities.""SPSS is quite robust and quicker in terms of providing you the output.""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."

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"The solution is able to handle quite large amounts of data beautifully.""The most valuable feature is that you can use multiple algorithms for creating models and then you can compare the results between them.""The solution is very good for data mining or any mining issues.""Good data management and analytics.""he solution is scalable.""The technical support is very good.""I like the way the product visually shows the data pipeline.""Most of the features, especially on the data analysis tool pack, are really good. The way they do clustering and output is great. You can do fairly elaborate outputs. The results, the ensembles, all of these, are fantastic."

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Cons
"Better documentation on how to use macros.""SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous.""The solution needs to improve forecasting using time series analysis.""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 design of the experience can be improved.""There is a learning curve; it's not very steep, but there is one.""It could provide even more in the way of automation as there are many opportunities.""I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."

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"The ease of use can be improved. When you are new it seems a bit complex.""The user interface of the solution needs improvement. It needs to be more visual.""The solution is very stable, but we do have some problems with discrepancies involving SAS not matching with the latest Java versions. It's not stable in cases where SAS tries to run on a different version because SAS doesn't connect with the latest Java update. Once a month we need to restart systems from scratch.""The visualization of the models is not very attractive, so the graphics should be improved.""While I don't personally need tutorials, I can't say that it wouldn't be helpful for others to have some to help them navigate and operate the system.""Technical support could be improved.""The product must provide better integration with cloud-native technologies.""Virtualization could be much better."

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Pricing and Cost Advice
  • "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."
  • "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."
  • "We think that IBM SPSS is expensive for this function."
  • "The price of this solution is a little bit high, which was a problem for my company."
  • "The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
  • "It's quite expensive, but they do a special deal for universities."
  • "The price of IBM SPSS Statistics could improve."
  • More IBM SPSS Statistics Pricing and Cost Advice →

  • "This solution is for large corporations because not everybody can afford it."
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • "The solution must improve its licensing models."
  • More SAS Enterprise Miner Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
    Top Answer:While the pricing of the product may be higher, the accompanying service and features justify the investment. However, to address pricing concerns, I suggest customizing pricing options for developing… more »
    Top Answer:In some cases, the product takes time to load a large dataset. They could improve this particular area.
    Top Answer:I like the way the product visually shows the data pipeline.
    Top Answer:The solution must improve its licensing models. It bundles all the products into smaller products. We can only have a subset of the functionality available according to our license. I rate the pricing… more »
    Top Answer:The product must provide better integration with cloud-native technologies.
    Ranking
    3rd
    out of 18 in Data Mining
    Views
    1,672
    Comparisons
    1,013
    Reviews
    8
    Average Words per Review
    537
    Rating
    8.6
    6th
    out of 18 in Data Mining
    Views
    528
    Comparisons
    430
    Reviews
    2
    Average Words per Review
    310
    Rating
    8.5
    Comparisons
    Also Known As
    SPSS Statistics
    Enterprise Miner
    Learn More
    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.”

    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.
    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
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    Top Industries
    REVIEWERS
    University46%
    Financial Services Firm17%
    Aerospace/Defense Firm4%
    Non Profit4%
    VISITORS READING REVIEWS
    University16%
    Educational Organization12%
    Comms Service Provider11%
    Computer Software Company8%
    REVIEWERS
    Financial Services Firm44%
    Retailer22%
    University22%
    Media Company11%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    University13%
    Educational Organization9%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise19%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise12%
    Large Enterprise70%
    REVIEWERS
    Small Business21%
    Midsize Enterprise29%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise10%
    Large Enterprise70%
    Buyer's Guide
    IBM SPSS Statistics vs. SAS Enterprise Miner
    March 2024
    Find out what your peers are saying about IBM SPSS Statistics vs. SAS Enterprise Miner and other solutions. Updated: March 2024.
    765,386 professionals have used our research since 2012.

    IBM SPSS Statistics is ranked 3rd in Data Mining with 36 reviews while SAS Enterprise Miner is ranked 6th in Data Mining with 13 reviews. IBM SPSS Statistics is rated 8.0, while SAS Enterprise Miner is rated 7.6. The top reviewer of IBM SPSS Statistics writes "Enhancing survey analysis that provides valued insightfulness". On the other hand, the top reviewer of SAS Enterprise Miner writes "A stable product that is easy to deploy and can be used for structured and unstructured data mining". IBM SPSS Statistics is most compared with Alteryx, TIBCO Statistica, Microsoft Azure Machine Learning Studio, IBM SPSS Modeler and Weka, whereas SAS Enterprise Miner is most compared with SAS Visual Analytics, IBM SPSS Modeler, RapidMiner, Microsoft Azure Machine Learning Studio and SAS Analytics. See our IBM SPSS Statistics vs. SAS Enterprise Miner report.

    See our list of best Data Mining vendors and best Data Science Platforms vendors.

    We monitor all Data Mining 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.