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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

    SnapLogic

    Score8.5 out of 10
    N/ASnapLogic is a cloud integration platform with a self-service capacity supported by over 450 prebuilt modifiable connectors. SnapLogic also offers real-time and batch integration processes for interfacing with external data sources, a drag-and-drop interface, and use of the vendors’ Iris AI.N/A
    Pricing
    IBM SPSS StatisticsSnapLogic
    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 StatisticsSnapLogic
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM SPSS StatisticsSnapLogic
    Considered Both Products
    IBM
    No answer on this topic
    Snaplogic
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    100%
    Would buy again
    19 Answers
    Delivers good value for the price
    91%
    Delivers good value for the price
    42 Answers
    100%
    Delivers good value for the price
    18 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    100%
    Happy with the feature set
    19 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
    15 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    35 Answers
    94%
    Implementation went as expected
    17 Answers
    Features
    IBM SPSS StatisticsSnapLogic
    Cloud Data Integration
    Comparison of Cloud Data Integration features of IBM SPSS Statistics and SnapLogic
    Feature
    IBM SPSS Statistics
    -
    Ratings
    SnapLogic
    7.7
    24 Ratings
    4% below category average
    Pre-built connectors00 Ratings8.222 Ratings
    Connector modification00 Ratings6.919 Ratings
    Support for real-time and batch integration00 Ratings7.424 Ratings
    Data quality services00 Ratings7.720 Ratings
    Data security features00 Ratings7.522 Ratings
    Monitoring console00 Ratings8.124 Ratings
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    IBM SPSS StatisticsSnapLogic
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    Score9.3 out of 10
    Medium-sized Companies
    Alteryx Platform
    Score9 out of 10
    IBM App Connect
    Score9 out of 10
    Enterprises
    Alteryx Platform
    Score9 out of 10
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM SPSS StatisticsSnapLogic
    Likelihood to Recommend
    8.5
    (116 ratings)
    8.1
    (24 ratings)
    Likelihood to Renew
    8.5
    (23 ratings)
    9.0
    (2 ratings)
    Usability
    8.0
    (15 ratings)
    7.0
    (1 ratings)
    Availability
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    6.4
    (12 ratings)
    8.5
    (4 ratings)
    Implementation Rating
    8.7
    (7 ratings)
    9.0
    (1 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 StatisticsSnapLogic
    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
    Snaplogic
    Snaplogic is unique from other IPASS tools if you're very sensitive about data security as they have an on-premise option where your data never needs to leave your data center. And data pipelines can be quickly created if Snaplogic has the requisite connector to your data sources. On the downside, if you're transforming a large amount of data for example in training machine learning models, a tool with elastic compute capability is more appropriate.
    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
    Snaplogic
    • Easy access to any type of source system. Data could be in any format.
    • Very beautiful visual representation of transforms that makes it super easy to use it by any non developer.
    • It can be run in cloud or on-premise. helping you choose your comfort of security.
    • Has pretty good customer support and have recently started their community forum as well.
    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
    Snaplogic
    • They need to have a way to connect to GitHub to allow the users to maintain their version control in GitHub. This is a missing functionality.
    • As pipelines become complex, it's difficult to have all the snaps stitched together - just like to see it done differently.
    • They do not have a way to start/stop a preview. This is hard to use, especially if you have to stop an accidental preview invocation.
    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
    Snaplogic
    This has been hands down the BEST software company I have ever used and dealt with. I am a 25 year IT veteran at this college. They go above and beyond in soliciting our feedback/input and proactively follow up about bugs, issues, etc. I have given multiple potential clients my thoughts and after seeing the SL demo they all sign up. I appreciate their support model, it's REFRESHING!
    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
    Snaplogic
    It is very powerful but has a steep learning curve
    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
    Snaplogic
    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
    Read full review
    Snaplogic
    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
    Snaplogic
    They can be prompt but they have not been as useful as I've wanted. We had a bug that affected many of our customers through an API connection between SnapLogic and our platform. Eventually they were able to figure it out, but it took a long time of negotiating between our engineering team and theirs. Additionally, we installed the SnapLogic groundplex for our customers and we've run into a bunch of problems of connectivity. If SnapLogic offered to be on those calls with our clients to troubleshoot how to fix these problems, I would give them a better grade here.
    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
    Snaplogic
    The groundplex in our VPC is very nice for security reasons and the SnapLogic team was extremely helpful during our implementation
    Incentivized
    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
    Snaplogic
    We opted for SnapLogic due its ease of use and the flexibility it offers, it was the platform that was strongest in both application integration and data integration and both were use cases we wanted to be able to cover.
    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
    Snaplogic
    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
    Snaplogic
    • We have cut development time down by at least 70%
    • The software was more on the expensive side at renewal which required some further approvals to be sought for the spend
    • More developers are able to build and use Snaplogic pipelines in their projects
    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

    SnapLogic Screenshots

    Screenshot of the Designer of SnapLogic's Enterprise Integration Cloud, which showcases the clicks-not-code approach to creating integration pipelines. Notice the machine-learning powered integration assistant, Iris, to the right suggests which Snaps (our term for connectors) to use from our catalogue of nearly 450+ pre-built connectors.Screenshot of the Enterprise Integration Cloud Dashboard used to monitor the status and health your pipelines and Snaplexes. Pipelines can be optimized further from here.Screenshot of the Manager tab of the Enterprise Integration Cloud Dashboard, used to manage users, groups, project spaces, pipelines and security. It can also display account and Snap statistics.