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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM SPSS Statistics

    Score8.1 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

    Pricing
    IBM SPSS Statistics
    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
    Offerings
    Pricing Offerings
    IBM SPSS Statistics
    Free Trial
    Yes
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    IBM SPSS Statistics
    Considered Both Products
    IBM
    Chose IBM SPSS Statistics
    This was my first instance of a tool like this
    Incentivized
    Chose IBM SPSS Statistics
    SPSS is like Microsoft Excel but on steroids. SPSS gives us greater control over our data and offers data analysis capabilities that clearly outshine what Excel offers. In addition to having better statistical testing capabilities, SPSS is also better at generating outputs that …
    Incentivized
    Chose IBM SPSS Statistics
    SPSS strikes the right balance between power and usability. Unlike SAS Viya, it does not require huge investment or specialized staff. It goes far beyond basic statistics when compared to MS Excel and it is very versatile to support multiple departments and business function. …
    Incentivized
    Chose IBM SPSS Statistics
    It's easier to learn and use for the non-data scientist. it integrates well with other IBM products, and it priced appropriately and can scale up as needed.
    Incentivized
    Chose IBM SPSS Statistics
    Excel is fine for baseline level data analysis, but it is more user heavy to perform certain functions. IBM SPSS Statistics allows for the user to do less taxing work in the analysis portion with its preset tools and functions.
    Incentivized
    Chose IBM SPSS Statistics
    It's all about the interface to me. The interface saves me a lot of time. Being able to point and click on variables and options rather than write code is a huge benefit. Of all the programs I tested, PSPP is the only one that comes close to meeting my needs.
    Incentivized
    Chose IBM SPSS Statistics
    I mainly use IBM SPSS Statistics because my university offers it to everyone for free. IBM SPSS Statistics handles statistical functions in a simple way that is easy to learn.
    Incentivized
    Chose IBM SPSS Statistics
    SAS is a very good product. SPSS provided our firm everythinbg we needed and was well within our budget. Also know that IBM is contunusely investing into SPSS. The roadmaps looks good.
    Incentivized
    Chose IBM SPSS Statistics
    Advanced statistical analysis is possible which is not possible in powerbi. It is very much easy to prepare basic charts. I dept statistical tests like regression analysis can be done. It is user -friendly and even layman can understand basic data easily through IBM SPSS's …
    Incentivized
    Chose IBM SPSS Statistics
    I also point out that the two softwares are complementary, then IBM SPSS Statistics works very well with statistical tests, creation and visualization of detailed tables and creation of statistical project models and project models. The IBM SPSS Modeler helps you quickly view …
    Incentivized
    Chose IBM SPSS Statistics
    Better breadth of services, better product functionality and performance, strong services expertise
    Incentivized
    Chose IBM SPSS Statistics
    I have also used other statistical software such as the SAP Predictive Analytics software, SAP possesses most of the decode options as SPS, but it is not as graphical and easier to use as SPS. Thus, IBM SPSS Statistics was chosen as a primary and powerful statistical tool that …
    Incentivized
    Chose IBM SPSS Statistics
    IBM SPSS Statistics stacks up much better and overall gives the user a much better as well as simpler means to achieve their end goal. It provides a comprehensive set of well tested data management, along with statistical procedures in an easy to use and all in one package …
    Incentivized
    Chose IBM SPSS Statistics
    Both offer strong data analysis capabilities, but SPSS stands out for its user-friendly interface and built-in statistical tests.
    Incentivized
    Chose IBM SPSS Statistics
    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 …
    Incentivized
    Chose IBM SPSS Statistics
    We used IBM SPSS Statistics as it works well with the other IBM tools that we use. It may not work as well for smaller organizations with limited budget/resources.
    We have a mix of technical and devops people and this tool is easily used by everyone on the team globally.
    Incentivized
    Chose IBM SPSS Statistics
    I have on many occasions launched new versions of a big Python application in production, only to immediately drown in errors, caused by exceptions that were in turn caused by Python code where a single glance confirmed that it could never ever work and consequently had never …
    Incentivized
    Chose IBM SPSS Statistics
    IBM SPSS Statistics is much more professional and geared towards market research applications. The built in queries save time and avoid mistakes. In Excel you can also do powerful things, but it is less geared towards scientific or statistical research. Running a regression …
    Incentivized
    Chose IBM SPSS Statistics
    IBM SPSS Statistics is much easier to use, even in classes with students, compared to other similar data analytic software that I have used previously. I selected it because of this reason and I plan to continue using it in the future. The interface is user friendly and the …
    Incentivized
    Chose IBM SPSS Statistics
    I, along with my supervised research student, used IBM SPSS Statistics compared to other software because of its simplicity and user-friendliness. A timeframe is a fundamental part of research work. Time is precious for both of us in terms of research work and using IBM SPSS …
    Incentivized
    Chose IBM SPSS Statistics
    The price of IBM SPSS and its quality-price ratio was one of the triggers for choosing the software over the competition. The ease of obtaining a demo of the product and the continuous training it presents was another of the key points in the decision making we made in the …
    Incentivized
    Chose IBM SPSS Statistics
    In addition to IBM SPSS Statistics, we also use statistical programming languages such as R and Python to perform data manipulation and analysis.

    In general, SPSS seems to be better for novice users, because it has a much more straightforward interface and an easier learning …
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    Best Alternatives
    IBM SPSS Statistics
    Small Businesses
    No answers on this topic
    Medium-sized Companies
    Alteryx Platform
    Score9.1 out of 10
    Enterprises
    Alteryx Platform
    Score9.1 out of 10
    All AlternativesView all alternatives
    User Ratings
    IBM SPSS Statistics
    Likelihood to Recommend
    8.6
    (116 ratings)
    Likelihood to Renew
    8.4
    (23 ratings)
    Usability
    8.0
    (15 ratings)
    Availability
    6.0
    (1 ratings)
    Performance
    6.0
    (1 ratings)
    Support Rating
    6.4
    (12 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    Configurability
    5.0
    (1 ratings)
    Ease of integration
    5.0
    (1 ratings)
    Product Scalability
    5.0
    (1 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    User Testimonials
    IBM SPSS Statistics
    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
    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
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    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
    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
    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
    Read full review
    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
    Read full review
    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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    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
    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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    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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    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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    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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    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