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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

    Oracle Analytics

    Score7.9 out of 10
    N/AOracle Analytics is a solution used to visually explore data to create and share compelling stories. Oracle Analytics Cloud is a cloud native service, and Oracle Analytics Server is the on-premise option.N/A
    Pricing
    IBM SPSS StatisticsOracle Analytics
    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
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsOracle Analytics
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Must contact sales team for pricing.
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsOracle Analytics
    Considered Both Products
    IBM
    Chose IBM SPSS Statistics
    - It's very user-friendly.
    - It can be used from simple to advanced analytics.
    - It runs faster and smoother than other software.
    Incentivized
    Oracle
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    100%
    Delivers good value for the price
    14 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    100%
    Happy with the feature set
    16 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
    12 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    100%
    Implementation went as expected
    12 Answers
    Features
    IBM SPSS StatisticsOracle Analytics
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    8.1
    62 Ratings
    1% below category average
    Pixel Perfect reports00 Ratings8.055 Ratings
    Customizable dashboards00 Ratings8.161 Ratings
    Report Formatting Templates00 Ratings8.361 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    8.0
    66 Ratings
    0% below category average
    Drill-down analysis00 Ratings8.464 Ratings
    Formatting capabilities00 Ratings8.265 Ratings
    Integration with R or other statistical packages00 Ratings7.145 Ratings
    Report sharing and collaboration00 Ratings8.162 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    7.8
    63 Ratings
    5% below category average
    Publish to Web00 Ratings7.755 Ratings
    Publish to PDF00 Ratings7.762 Ratings
    Report Versioning00 Ratings7.753 Ratings
    Report Delivery Scheduling00 Ratings7.958 Ratings
    Delivery to Remote Servers00 Ratings7.938 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    7.8
    61 Ratings
    2% below category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.559 Ratings
    Location Analytics / Geographic Visualization00 Ratings7.552 Ratings
    Predictive Analytics00 Ratings7.747 Ratings
    Pattern Recognition and Data Mining00 Ratings8.63 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    8.4
    61 Ratings
    1% below category average
    Multi-User Support (named login)00 Ratings8.160 Ratings
    Role-Based Security Model00 Ratings8.160 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings8.560 Ratings
    Report-Level Access Control00 Ratings8.54 Ratings
    Single Sign-On (SSO)00 Ratings8.641 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    8.0
    48 Ratings
    3% above category average
    Responsive Design for Web Access00 Ratings8.046 Ratings
    Mobile Application00 Ratings8.033 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.044 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of IBM SPSS Statistics and Oracle Analytics
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Oracle Analytics
    7.9
    36 Ratings
    2% above category average
    REST API00 Ratings8.231 Ratings
    Javascript API00 Ratings7.930 Ratings
    iFrames00 Ratings8.223 Ratings
    Java API00 Ratings7.931 Ratings
    Themeable User Interface (UI)00 Ratings7.531 Ratings
    Customizable Platform (Open Source)00 Ratings7.924 Ratings
    Best Alternatives
    IBM SPSS StatisticsOracle Analytics
    Small Businesses
    No answers on this topic
    Cyfe
    Score4 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
    Sisense
    Score6.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsOracle Analytics
    Likelihood to Recommend
    8.5
    (116 ratings)
    8.1
    (76 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    9.1
    (8 ratings)
    Usability
    8.0
    (15 ratings)
    8.2
    (6 ratings)
    Availability
    6.0
    (1 ratings)
    9.1
    (1 ratings)
    Performance
    6.0
    (1 ratings)
    9.1
    (1 ratings)
    Support Rating
    6.4
    (12 ratings)
    9.1
    (4 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.1
    (1 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    9.1
    (3 ratings)
    Configurability
    5.0
    (1 ratings)
    9.1
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    9.2
    (57 ratings)
    Data Sources
    -
    (0 ratings)
    8.1
    (57 ratings)
    Ease of integration
    5.0
    (1 ratings)
    8.2
    (1 ratings)
    Product Scalability
    5.0
    (1 ratings)
    9.1
    (1 ratings)
    Vendor post-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM SPSS StatisticsOracle Analytics
    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
    Oracle
    Oracle Data Visualization is very effective if used in an enterprise context with huge volumes of data coming from different systems. It supports dashboard and reporting capabilities and is easy to scale. It also allows you to leverage machine learning capabilities to extract hidden data trends. Visualization capabilities are powerful but not so various if compared to other solutions on the market. If you want to present a dashboard to an executive audience and you want to make your dashboards beautiful you must adapt them through PowerPoint.
    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
    Read full review
    Oracle
    • Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
    • We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
    • OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
    • OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.
    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
    Oracle
    • More AI but with human back up.
    • Less mumbo jumbo so even IT guys/gals can more easily work.
    • More statistics (math) and orientation for those not familiar with it.
    • More live as well as virtual (live) show casing of real situations in business.
    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
    Oracle
    Scalability and rich integration capabilities. In the future, if we go with Hyperion for the Financial Consolidation and planning purposes -BI integration with Hyperion is going to be much simpler as it has native interface connectivity and even integration capabilities with well known CRM products (Siebel) and ERP Products (Oracle EBS, Peoplesoft, SAP) is going to be easy and straight forward.
    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
    Oracle
    Great, if you are limited to using it along with other Oracle products; sadly, not if you are integrating with other products, which can be a challenge. It is a great product with tons of functionality and great integration with other in-house platforms. Great visuals and customization for data and analytics to provide decision-making data and analysis.
    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
    Oracle
    No problems, it's that simple.
    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
    Read full review
    Oracle
    Other than anomalies or expected quirks, there were never any earth-shattering delays.
    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
    Oracle
    Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.
    Incentivized
    Read full review
    In-Person Training
    IBM
    No answers on this topic
    Oracle
    Oracle University offers very in-depth training.
    Read full review
    Online Training
    IBM
    No answers on this topic
    Oracle
    It was a private training site.
    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
    Read full review
    Oracle
    A properly implemented Endeca solution performs extremely well on the largest of datasets and it positions your organization to immediately achieve your ROI.
    Read full review
    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
    Oracle
    Oracle Analytics Cloud, is one of the most agile and secure data analysis platforms that according to the budget and the amount of use, you can use the resources you need under the cloud. The Oracle brand is also very well known in this field and can meet all the needs of an organization or industry in any sector.
    Read full review
    Scalability
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
    Read full review
    Oracle
    We have seen the results of this in our initial research and are not surprised that Oracle does this like it does soo many other things in this area, so well.
    Incentivized
    Read full review
    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
    Read full review
    Oracle
    • We've used OBIEE (or it's previous named product) for over 13 years and it's still the most used tool for BI by the business.
    • We moved our largest business system off of Business Object into OBI so we could gain improved performance, reliability, and easier management of metadata.
    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