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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

    Looker Studio

    Score8.2 out of 10
    N/ALooker Studio is a data visualization platform that transforms data into meaningful presentations and dashboards with customized reporting tools.

    $9

    per month per user per project

    Pricing
    IBM SPSS StatisticsLooker Studio
    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
    Looker Studio Pro
    $9
    per month per user per project
    Looker Studio
    No charge
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsLooker Studio
    Free Trial
    YesNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsLooker Studio
    Considered Both Products
    IBM
    No answer on this topic
    Google
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    95%
    Would buy again
    40 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    100%
    Delivers good value for the price
    38 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    95%
    Happy with the feature set
    40 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    97%
    Lived up to sales and marketing promises
    31 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    89%
    Implementation went as expected
    33 Answers
    Features
    IBM SPSS StatisticsLooker Studio
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM SPSS Statistics and Looker Studio
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Looker Studio
    7.0
    62 Ratings
    14% below category average
    Pixel Perfect reports00 Ratings6.643 Ratings
    Customizable dashboards00 Ratings7.361 Ratings
    Report Formatting Templates00 Ratings7.259 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM SPSS Statistics and Looker Studio
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Looker Studio
    7.7
    61 Ratings
    2% below category average
    Drill-down analysis00 Ratings6.851 Ratings
    Formatting capabilities00 Ratings7.057 Ratings
    Integration with R or other statistical packages00 Ratings7.129 Ratings
    Report sharing and collaboration00 Ratings9.759 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM SPSS Statistics and Looker Studio
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Looker Studio
    8.1
    60 Ratings
    1% below category average
    Publish to Web00 Ratings8.453 Ratings
    Publish to PDF00 Ratings8.753 Ratings
    Report Versioning00 Ratings8.139 Ratings
    Report Delivery Scheduling00 Ratings7.942 Ratings
    Delivery to Remote Servers00 Ratings7.524 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM SPSS Statistics and Looker Studio
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Looker Studio
    6.6
    60 Ratings
    16% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.160 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.757 Ratings
    Predictive Analytics00 Ratings5.330 Ratings
    Pattern Recognition and Data Mining00 Ratings6.36 Ratings
    Best Alternatives
    IBM SPSS StatisticsLooker Studio
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    Chartio (discontinued)
    Score7.5 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    Jet Reports
    Score9.5 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
    Kibana
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsLooker Studio
    Likelihood to Recommend
    8.5
    (116 ratings)
    8.3
    (63 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    9.0
    (1 ratings)
    Usability
    8.0
    (15 ratings)
    8.4
    (14 ratings)
    Availability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    6.7
    (10 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    -
    (0 ratings)
    Configurability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Ease of integration
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM SPSS StatisticsLooker Studio
    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
    Google
    Visualizing cross-channel campaign performance can blend data from a few different sources to compare performance metrics like spend, clicks, and conversions side-by-side in a single view, which helps in quick budget reallocation decisions. When dealing with massive volumes of data (millions of rows) or highly complex queries, Looker Studio dashboards can become slow, laggy, or even crash. Performance issues are a frequent complaint when working with large datasets, making it unsuitable for enterprise-level companies
    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
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    Google
    • Breath of data - the number of ways to interrogate the data is endless, and the options to view metrics alongside each other make for comprehensive datasets.
    • Data visualisation and customisation - the options for presenting data and separating out across pages allow for clean visuals and segmented information.
    • Easy shareability/usability - a quick and simple tool to introduce colleagues to, and easy to grant access for them to be able to view the data, without having to understand the setup itself.
    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
    Google
    • It needs better handling of complex logic. We often need workarounds to perform complex custom calculations, and it can be really unpleasant at times.
    • Felt it got slow with a larger data set, and in one minor report, we had to set up time filters so that calculations during spikes could be traced more quickly.
    • Compare to competition they need to improve with notification things.
    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
    Google
    It is the simplest and least expensive way for us to automate our reporting at this time. I like the ability to customize literally everything about each report, and the ability to send out reports automatically in emails. The only issue we have been having recently is a technical glitch in the automatic email report. Sadly, there is almost no support for this tool from Google, but is also free, so that is important to take into consideration
    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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    Google
    Looker Studio is easy to use, and it offers a sufficient variety of predefined visualizations to choose from. It's easy for us, and anyone can set up basic reporting without extensive data visualization skills. The interface layout is easy to understand, and it doesn't take long to get used to.
    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
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    Google
    No answers on this topic
    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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    Google
    No answers on this topic
    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
    Google
    I give it a lower support rating because it seems like our Dev team hasn't gotten the support they need to set up our database to connect. Seems like we hit a roadblock and the project got put on pause for dev. That sucks for me because it is harder to get the dev team to focus on it if they don't get the help they need to set it up.
    Incentivized
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    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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    Google
    No answers on this topic
    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
    Read full review
    Google
    Looker Studio is far easier to implement, stand up, and learn. The interface is simpler and user-friendly for various levels of data visualization/analysis knowledge and experience. The biggest benefit of Looker Studio, however, is its ease of connection to GA data and speed. Furthermore, since it is an online program/tool, it requires less CPU/battery/storage on the user's device.
    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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    Google
    No answers on this topic
    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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    Google
    • Free, so the only investment is time
    • Because it doesn't have native support of non-Google sources, it can cost more money than Tableau
    • The time spent formatting the templates or building connectors can have a negative impact on ROI
    • As a agency, charging for the reporting service is profitable after the first month or two after building the dashboard.
    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