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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Statistics

    Score8 out of 10
    N/ASPSS Statistics is a software package used for statistical analysis. It is now officially named "IBM SPSS Statistics". Companion products in the same family are used for survey authoring and deployment (IBM SPSS Data Collection), data mining (IBM SPSS Modeler), text analytics, and collaboration and deployment (batch and automated scoring services).

    $105

    per month per user

    Microsoft SQL Server

    Score8.7 out of 10
    N/AMicrosoft SQL Server is a relational database.

    $1,418

    Per License

    Pricing
    IBM SPSS StatisticsMicrosoft SQL Server
    Editions & Modules
    Base
    USD 3,830
    one-time fee per user
    Standard
    USD 8,440
    one-time fee per user
    Professional
    USD 16,900
    one-time fee per user
    Premium
    USD 25,200
    one-time fee per user
    Monthly subscription
    USD 105
    per month per user
    Annual subscription
    USD 1,188.00
    per year per user
    Subscription
    $1,418.00
    Per License
    Enterprise
    $13,748.00
    Per License
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsMicrosoft SQL Server
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsMicrosoft SQL Server
    Considered Both Products
    IBM
    Chose IBM SPSS Statistics
    Graphics within SPSS provide you with a general framework for understanding your data, so that you will be better able to interpret the complex inferential procedures that follow.
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    100%
    Would buy again
    53 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    96%
    Delivers good value for the price
    45 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    100%
    Happy with the feature set
    53 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    100%
    Lived up to sales and marketing promises
    39 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    100%
    Implementation went as expected
    45 Answers
    Best Alternatives
    IBM SPSS StatisticsMicrosoft SQL Server
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    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsMicrosoft SQL Server
    Likelihood to Recommend
    8.5
    (116 ratings)
    7.9
    (107 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    9.0
    (8 ratings)
    Usability
    8.0
    (15 ratings)
    7.6
    (17 ratings)
    Availability
    6.0
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    6.0
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    6.4
    (12 ratings)
    7.9
    (26 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    9.0
    (6 ratings)
    Configurability
    5.0
    (1 ratings)
    10.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    9.0
    (5 ratings)
    Data Sources
    -
    (0 ratings)
    10.0
    (5 ratings)
    Ease of integration
    5.0
    (1 ratings)
    9.0
    (1 ratings)
    Product Scalability
    5.0
    (1 ratings)
    9.0
    (1 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    9.0
    (1 ratings)
    User Testimonials
    IBM SPSS StatisticsMicrosoft SQL Server
    Likelihood to Recommend
    IBM
    IBM SPSS Statistics is well suited for pretty much any data analytic scenario. It can handle extremely complex and large-scale datasets with ease. It especially shines if you have to do any kind of analyses that involve significance testing. Being able to do any number of significance tests (i.e., t-tests, chi-square, ANOVAs, etc.) right inside the tool is very valuable. The only scenario I would say it is less appropriate is if you need to work on a very small dataset and answer very simple questions, like frequencies or averages. In those cases, something like Excel could probably do the job just as easily.
    Incentivized
    Read full review
    Microsoft
    Microsoft SQL is ubiquitous, while MySQL runs under the hood all over the place. Microsoft SQL is the platform taught in colleges and certification courses and is the one most likely to be used by businesses because it is backed by Microsoft. Its interface is friendly (well, as pleasant as SQL can be) and has been used by so many for so long that resources are freely available if you encounter any issues.
    Incentivized
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    Pros
    IBM
    • SPSS has been around for quite a while and has amassed a large suite of functionality. One of its longest-running features is the ability to automate SPSS via scripting, AKA "syntax." There is a very large community of practice on the internet who can help newbies to quickly scale up their automation abilities with SPSS. And SPSS allows users to save syntax scripting directly from GUI wizards and configuration windows, which can be a real life-saver if one is not an experienced coder.
    • Many statistics package users are doing scientific research with an eye to publish reproducible results. SPSS allows you to save datasets and syntax scripting in a common format, facilitating attempts by peer reviewers and other researchers to quickly and easily attempt to reproduce your results. It's very portable!
    • SPSS has both legacy and modern visualization suites baked into the base software, giving users an easily mountable learning curve when it comes to outputting charts and graphs. It's very easy to start with a canned look and feel of an exported chart, and then you can tweak a saved copy to change just about everything, from colors, legends, and axis scaling, to orientation, labels, and grid lines. And when you've got a chart or graph set up the way you like, you can export it as an image file, or create a template syntax to apply to new visualizations going forward.
    • SPSS makes it easy for even beginner-level users to create statistical coding fields to support multidimensional analysis, ensuring that you never need to destructively modify your dataset.
    • In closing, SPSS's long and successful tenure ensures that just about any question a new user may have about it can be answered with a modicum of Google-fu. There are even several fully-fledged tutorial websites out there for newbie perusal.
    Incentivized
    Read full review
    Microsoft
    • Easy to configure and use with Visual Studio and Dot Net
    • Easy integration with MSBI to perform data analysis
    • Data Security
    • Easy to understand and use
    • Very easy to export database and tables in the form of SQL query or a script
    Incentivized
    Read full review
    Cons
    IBM
    • Cost is becoming prohibitive.
    • Availability of procedures in the base package seems to be dwindling.
    • The copy-and-paste function from output to Excel is not as easy as it once was (now I have to do a "paste special").
    • Text and date handling are terrible.
    • Need to include AI-based NLP for survey verbatims and other text-based fields. This is becoming increasingly important in the CX world, yet SPSS seems to be ignoring it.
    Incentivized
    Read full review
    Microsoft
    • Microsoft SQL Server Enterprise edition has a high cost but is the only edition which supports SQL Always On Availability Groups. It would be nice to include this feature in the Standard version.
    • Licensing of Microsoft SQL Server is a quite complex matter, it would be good to simplify licensing in the future. For example, per core vs per user CAL licensing, as well as complex licensing scenarios in the Cloud and on Edge locations.
    • It would be good to include native tools for converting Oracle, DB2, Postgresql and MySQL/MariaDB databases (schema and data) for import into Microsoft SQL Server.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    Both
    money and time are essential for success in terms of return on investment for any kind of research based project work. Using a Likert-scale questionnaire is very easy for data entry and analysis
    using IBM SPSS. With the help of IBM SPSS, I found very fast and reliable data
    entry and data analysis for my research. Output from SPSS is very easy to
    interpret for data analysis and findings
    Incentivized
    Read full review
    Microsoft
    We understand that the Microsoft SQL Server will continue to advance, offering the same robust and reliable platform while adding new features that enable us, as a software center, to create a superior product. That provides excellent performance while reducing the hardware requirements and the total cost of ownership of our solution.
    Incentivized
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    Usability
    IBM
    Probably because I have been using it for so long that I have used all of the modules, or at least almost all of the modules, and the way SPSS works is second nature to me, like fish to swimming.
    Incentivized
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    Microsoft
    SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
    Incentivized
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    Reliability and Availability
    IBM
    SPSS can tend to crash when I am trying to do a lot of data. This can slow me down when I need to do a lot of data
    Incentivized
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    Microsoft
    Its does not have outages.
    Incentivized
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    Performance
    IBM
    SPSS does the job, but it can be slow. I do have to plan a lot of time to get through a huge amount of data.
    Incentivized
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    Microsoft
    SSAS data cubes may some time slow down your Excel reports.
    Incentivized
    Read full review
    Support Rating
    IBM
    I have not contacted IBM SPSS for support myself. However, our IT staff has for trying to get SPSS Text Analytics Module to work. The issue was never resolved, but I'm not sure if it was on the IT's end or on SPSS's end
    Read full review
    Microsoft
    We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
    Incentivized
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    In-Person Training
    IBM
    No answers on this topic
    Microsoft
    It was good
    Incentivized
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    Online Training
    IBM
    No answers on this topic
    Microsoft
    very hands on and detailed training
    Incentivized
    Read full review
    Implementation Rating
    IBM
    Have a plan for managing the yearly upgrade cycle. Most users work in the desktop version, so there needs to be a mechanism for either pushing out new versions of the software or a key manager to deal with updated licensing keys. If you have a lot of users this needs to be planned for in advance.
    Incentivized
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    Microsoft
    Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
    Incentivized
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    Alternatives Considered
    IBM
    If you have made it this far, you should have a very good idea of how SPSS stacks up the competition (data processing and analytics tools). Even the free ones, such as r Studio or Stata, are leaps and bounds ahead of SPSS. IBM is resting on a reputation developed nearly 30 years ago and has shown no desire to improve.
    Incentivized
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    Microsoft
    [Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
    Incentivized
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    Scalability
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
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    Microsoft
    SQL server does handle growing demands of a mid sized company.
    Incentivized
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    Return on Investment
    IBM
    • I found SPSS easier to use than SAS as it's more intuitive to me.
    • The learning curve to use SPSS is less compared to SAS.
    • I used SAS, to a much lesser extent than SPSS. However, it seems that SAS may be more suitable for users who understand programming. With SPSS, users can perform many statistical tests without the need to know programming.
    Incentivized
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    Microsoft
    • Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
    • Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
    • Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.
    Incentivized
    Read full review
    ScreenShots

    IBM SPSS Statistics Screenshots

    Screenshot of SPSS Statistics Forecasting. This enables users to build time-series forecasts regardless of their skill level.Screenshot of SPSS Statistics Regression. These predict categorical outcomes and apply nonlinear regression procedures.Screenshot of IBM SPSS Statistics Neural Networks. These can discover complex relationships and improve predictive models.Screenshot of IBM SPSS Statistics Curated Help. These can interpret correlation output.Screenshot of IBM SPSS Statistics AI Output Assistant interprets statistical output in easy to consume language