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Google Cloud AI vs. IBM SPSS Statistics vs. OpenText Magellan

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud AI

    Score8.7 out of 10
    N/AGoogle Cloud AI provides modern machine learning services, with pre-trained models and a service to generate tailored models.N/A

    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

    OpenText Magellan

    Score9 out of 10
    N/AOpenText Magellan Analytics Suite leverages a comprehensive set of data analytics software to identify patterns, relationships and trends through data visualizations and interactive dashboards.N/A
    Pricing
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    Editions & Modules
    No answers on this topic
    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
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    Free Trial
    NoYesNo
    Free/Freemium Version
    NoNoNo
    Premium Consulting/Integration Services
    NoNoNo
    Entry-level Setup FeeNo setup feeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    Considered Multiple Products
    Google
    No answer on this topic
    IBM
    No answer on this topic
    OpenText
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    94%
    Would buy again
    49 Answers
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    91%
    Delivers good value for the price
    42 Answers
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    98%
    Happy with the feature set
    51 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    97%
    Lived up to sales and marketing promises
    34 Answers
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    97%
    Implementation went as expected
    35 Answers
    No answers on this topic
    Features
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    BI Standard Reporting
    Comparison of BI Standard Reporting features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    7.0
    2 Ratings
    15% below category average
    Customizable dashboards00 Ratings00 Ratings7.02 Ratings
    Report Formatting Templates00 Ratings00 Ratings7.01 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    8.3
    3 Ratings
    4% above category average
    Drill-down analysis00 Ratings00 Ratings8.03 Ratings
    Formatting capabilities00 Ratings00 Ratings8.03 Ratings
    Integration with R or other statistical packages00 Ratings00 Ratings9.01 Ratings
    Report sharing and collaboration00 Ratings00 Ratings8.02 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    8.3
    2 Ratings
    1% above category average
    Publish to Web00 Ratings00 Ratings8.02 Ratings
    Publish to PDF00 Ratings00 Ratings8.02 Ratings
    Report Versioning00 Ratings00 Ratings9.02 Ratings
    Report Delivery Scheduling00 Ratings00 Ratings8.02 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    8.0
    1 Ratings
    0% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings00 Ratings9.01 Ratings
    Predictive Analytics00 Ratings00 Ratings7.01 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    9.0
    2 Ratings
    6% above category average
    Role-Based Security Model00 Ratings00 Ratings9.02 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)00 Ratings00 Ratings9.02 Ratings
    Single Sign-On (SSO)00 Ratings00 Ratings9.02 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    7.0
    2 Ratings
    10% below category average
    Responsive Design for Web Access00 Ratings00 Ratings7.02 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile00 Ratings00 Ratings7.02 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of Google Cloud AI and IBM SPSS Statistics and OpenText Magellan
    Feature
    Google Cloud AI
    -
    Ratings
    IBM SPSS Statistics
    -
    Ratings
    OpenText Magellan
    6.2
    1 Ratings
    22% below category average
    REST API00 Ratings00 Ratings5.01 Ratings
    Javascript API00 Ratings00 Ratings9.01 Ratings
    Java API00 Ratings00 Ratings5.01 Ratings
    Themeable User Interface (UI)00 Ratings00 Ratings7.01 Ratings
    Customizable Platform (Open Source)00 Ratings00 Ratings5.01 Ratings
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    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
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    TensorFlow
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    Alteryx Platform
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    Score7 out of 10
    All AlternativesView all alternativesView all alternativesView all alternatives
    User Ratings
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    Likelihood to Recommend
    8.0
    (7 ratings)
    8.4
    (116 ratings)
    9.0
    (11 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    8.5
    (23 ratings)
    3.9
    (9 ratings)
    Usability
    8.0
    (2 ratings)
    8.0
    (15 ratings)
    9.0
    (1 ratings)
    Availability
    -
    (0 ratings)
    6.0
    (1 ratings)
    -
    (0 ratings)
    Performance
    -
    (0 ratings)
    6.0
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    7.3
    (3 ratings)
    6.4
    (12 ratings)
    9.0
    (2 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    8.7
    (7 ratings)
    -
    (0 ratings)
    Configurability
    -
    (0 ratings)
    5.0
    (1 ratings)
    -
    (0 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    -
    (0 ratings)
    9.0
    (8 ratings)
    Data Sources
    -
    (0 ratings)
    -
    (0 ratings)
    8.0
    (8 ratings)
    Ease of integration
    -
    (0 ratings)
    5.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    -
    (0 ratings)
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    5.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Google Cloud AIIBM SPSS StatisticsOpenText Magellan
    Likelihood to Recommend
    Google
    Google Cloud AI is a wonderful product for companies that are looking to offset AI and ML processing power to cloud APIs, and specific Machine Learning use cases to APIs as well. For companies that are looking for very specific, customized ML capabilities that require lots of fine-tuning, it may be better to do this sort of processing through open-source libraries locally, to offset the costs that your company might incur through this API usage.
    Incentivized
    Read full review
    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
    OpenText
    If you do not have a large budget and are a large organization, I would steer clear of Actuate. If you are looking to do very complex washboarding, I would not use them. Your developers have to be very skilled to work with this. Plan to bring in consultants if necessary to help your process. Adhoc reporting is weak. If your pricing is user based and you expand, this could be very expensive.
    Read full review
    Pros
    Google
    • good conversion from the voice to the text
    • speed in the conversion from voice to text
    • time-saving in the conversion activity
    • analysis of the results of the conversion in real time
    Incentivized
    Read full review
    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
    OpenText
    • The report outputs can vary across different types such as HTML, PDF, and Excel
    • Their open source offering is very sufficient
    • There are great boards and blogs for developers and engineers to expand and use their features.
    • The people from the company that I've worked with are professional and courteous.
    Incentivized
    Read full review
    Cons
    Google
    • Some of the build in/supported AI modules that can be deployed, for example Tensorflow, do not have up-to-date documentation so what is actually implemented in the latest rev is not what is mentioned in the documentation, resulting in a lot of debugging time.
    • Customization of existing modules and libraries is harder and it does need time and experience to learn.
    • Google Cloud AI can do a better job in providing better support for Python and other coding languages.
    Incentivized
    Read full review
    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
    OpenText
    • The documentation on all the available features, but most importantly on the scripting side, can be improved
    • The standard look & feel of some basic options, like parameter selection or sorting and filtering, looks dated and can't be customized
    • The server portal needs to provide better tools
    • More integration is needed with other OpenText products
    Incentivized
    Read full review
    Likelihood to Renew
    Google
    We are extremely satisfied with the impact that this tool has made on our organization since we have practically moved from crawling to walking in the process of generating information for our main task to investigate in the field through interviews. With the audio to text translation tool there is a difference from heaven to earth in the time of feeding our internal data.
    Incentivized
    Read full review
    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
    OpenText
    I am no longer working for the company that was using Actuate but I believe they would continue to use it because the stitching costs would be to high. It would require a complete rewrite of the reports and the never version of Actuate (BIRT) even required an almost complete report rewrite
    Incentivized
    Read full review
    Usability
    Google
    I give 8 because although it´s a tool I really enjoy working with, I think Google Cloud AI's impact is just starting, therefore I can visualize a lot/space of improvements in this tool. As an example the application of AI in international environments with different languages is a good example of that space/room to improve.
    Read full review
    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
    OpenText
    It is quite intuitive to use. It is fit specifically for doing sentiment, emotion, and intention analysis as well as text classification and text summarization. I would have given 10 if it is fit for the purpose of doing image processing and analysis as well. There is a huge market to analyze video and image data.
    Incentivized
    Read full review
    Reliability and Availability
    Google
    No answers on this topic
    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
    OpenText
    No answers on this topic
    Performance
    Google
    No answers on this topic
    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
    OpenText
    No answers on this topic
    Support Rating
    Google
    Every rep has been nice and helpful whenever I call for help. One of the systems froze and wouldn't start back up and with the help of our assigned rep we got everything back up in a timely manner. This helped us not lose customers and money.
    Incentivized
    Read full review
    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
    OpenText
    Always there on the front and backend for us and the client.
    Read full review
    Implementation Rating
    Google
    In fact, you only need the basic tech knowledge to do a Google search. You need to know if your organization requires it or not,. our organization required it. And that is why we acquired it and solved a need that we had been suffering from. This is part of the modernization of an organization and part of its growth as a company.
    Incentivized
    Read full review
    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
    OpenText
    No answers on this topic
    Alternatives Considered
    Google
    These are basic tools although useful, you can't simply ignore them or say they are not good. These tools also have their own values. But, Yes, Google is an advanced one, A king in the field of offering a wide range of tools, quality, speed, easy to use, automation, prebuild, and cost-effective make them a leader and differentiate them from others.
    Incentivized
    Read full review
    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
    OpenText
    It is vastly superior to these in many ways, for complex reporting it is a much more sophisticated solution. Visualizations are very good. Javascript extensibility is very powerful, others don't support this or as well. Pentaho and MS are both OLAP oriented. Pentaho is moving more toward big data, which was not our primary focus. Others are stuck in the Crystal Reports Band metaphor.
    Read full review
    Scalability
    Google
    No answers on this topic
    IBM
    I am neutral because I have not had to look into scalability since I am using as a student.
    Incentivized
    Read full review
    OpenText
    No answers on this topic
    Return on Investment
    Google
    • Artificial intelligence and automation seems 'free' and draws the organization in, without seeming to spend a lot of funds. A positive impact, but who is actually tracking the cost?
    • We want our employees to use it, but many resist technology or are scared of it, so we need a way to make them feel more comfortable with the AI.
    • The ROI seems positive since we are full in with Google, and the tools come along with the functionality.
    Incentivized
    Read full review
    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
    OpenText
    • Actuate can handle 50 to 60 sub reports inside a report very well.
    • Dynamically creating the datasource, chart, graph, reports are the main advantages. We can do any level of drilling, and can create a performance matrix dashboard efficiently.
    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

    OpenText Magellan Screenshots

    Screenshot of A Magellan BI & Reporting dashboard that an individual can interact with and personalize to their needs, such as changing chart types or computations.Screenshot of Magellan Data Discovery provides a Smart User Interface, designed to equip new users and users seeking a more streamlined set of features for insightsScreenshot of Magellan Data Discovery provides an Advanced User Interface that allows data analytics pros to leverage its breadth of sophisticated capabilities for insightsScreenshot of Magellan Text Mining insights can be displayed within easy-to-use dashboards.Screenshot of Data scientists can create visualizations within the Magellan Notebook and see it dynamically update as they write changes to it.