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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 Azure

    Score8.5 out of 10
    N/AMicrosoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.

    $29

    per month

    Pricing
    IBM SPSS StatisticsMicrosoft Azure
    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
    Developer
    $29
    per month
    Standard
    $100
    per month
    Professional Direct
    $1000
    per month
    Basic
    Free
    per month
    Offerings
    Pricing Offerings
    IBM SPSS StatisticsMicrosoft Azure
    Free Trial
    YesYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsMicrosoft Azure
    Considered Both Products
    IBM
    Chose IBM SPSS Statistics
    Deriving outcomes using the statistical analysis is the major advantage over all the above tools.
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    92%
    Would buy again
    34 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    94%
    Delivers good value for the price
    31 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    95%
    Happy with the feature set
    35 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    34 Answers
    89%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    94%
    Implementation went as expected
    34 Answers
    Features
    IBM SPSS StatisticsMicrosoft Azure
    Infrastructure-as-a-Service (IaaS)
    Comparison of Infrastructure-as-a-Service (IaaS) features of IBM SPSS Statistics and Microsoft Azure
    Feature
    IBM SPSS Statistics
    -
    Ratings
    Microsoft Azure
    8.4
    27 Ratings
    2% above category average
    Service-level Agreement (SLA) uptime00 Ratings8.126 Ratings
    Dynamic scaling00 Ratings8.725 Ratings
    Elastic load balancing00 Ratings8.624 Ratings
    Pre-configured templates00 Ratings8.225 Ratings
    Monitoring tools00 Ratings8.326 Ratings
    Pre-defined machine images00 Ratings8.424 Ratings
    Operating system support00 Ratings8.926 Ratings
    Security controls00 Ratings8.626 Ratings
    Automation00 Ratings8.224 Ratings
    Best Alternatives
    IBM SPSS StatisticsMicrosoft Azure
    Small Businesses
    No answers on this topic
    IBM Cloud Object Storage
    Score9 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    IBM Cloud Bare Metal Servers
    Score8.7 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
    SAP on IBM Cloud
    Score9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsMicrosoft Azure
    Likelihood to Recommend
    8.5
    (116 ratings)
    8.7
    (96 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    10.0
    (17 ratings)
    Usability
    8.0
    (15 ratings)
    8.3
    (36 ratings)
    Availability
    6.0
    (1 ratings)
    6.8
    (2 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    9.0
    (27 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    8.0
    (2 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 StatisticsMicrosoft Azure
    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
    Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
    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
    Microsoft
    • Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
    • You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
    • The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
    • The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
    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
    • The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
    • The documentation needs to be improved, and some advanced configuration options require research and experimentation.
    • Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
    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
    Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
    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
    Microsoft
    As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
    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
    Microsoft
    It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
    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
    Microsoft
    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
    Microsoft
    We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
    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
    Microsoft
    As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
    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
    Microsoft
    As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
    Incentivized
    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
    Microsoft
    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
    Read full review
    Microsoft
    • For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
    • DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
    • Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.
    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