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IBM Watson Studio on Cloud Pak for Data vs. Wolfram Mathematica

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Studio

    Score10 out of 10
    N/AIBM Watson Studio enables users to build, run and manage AI models, and optimize decisions at scale across any cloud. IBM Watson Studio enables users can operationalize AI anywhere as part of IBM Cloud Pak® for Data, the IBM data and AI platform. The vendor states the solution simplifies AI lifecycle management and accelerates time to value with an open, flexible multicloud architecture.N/A

    Mathematica

    Score7 out of 10
    N/AWolfram's flagship product Mathematica is a modern technical computing application featuring a flexible symbolic coding language and a wide array of graphing and data visualization capabilities.

    $1,520

    per year

    Pricing
    IBM Watson StudioMathematica
    Editions & Modules
    No answers on this topic
    Standard Cloud
    $1,520
    per year
    Standard Desktop
    $3,040
    one-time fee
    Standard Desktop & Cloud
    $3,344
    one-time fee
    Mathematica Enterprise Edition
    $8,150.00
    one-time fee
    Offerings
    Pricing Offerings
    IBM Watson StudioMathematica
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details—Discounts available for students and educational institutions. The Network Edition reduce per-user license costs through shared deployment across any number of machines on a local-area network.
    More Pricing Information
    Community Pulse
    IBM Watson StudioMathematica
    Considered Both Products
    IBM
    No answer on this topic
    Wolfram
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    IBM Watson StudioMathematica
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Wolfram Mathematica
    -
    Ratings
    Connect to Multiple Data Sources8.022 Ratings00 Ratings
    Extend Existing Data Sources8.022 Ratings00 Ratings
    Automatic Data Format Detection10.021 Ratings00 Ratings
    MDM Integration6.414 Ratings00 Ratings
    Data Exploration
    Comparison of Data Exploration features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Wolfram Mathematica
    -
    Ratings
    Visualization10.022 Ratings00 Ratings
    Interactive Data Analysis10.022 Ratings00 Ratings
    Data Preparation
    Comparison of Data Preparation features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Wolfram Mathematica
    -
    Ratings
    Interactive Data Cleaning and Enrichment10.022 Ratings00 Ratings
    Data Transformations10.021 Ratings00 Ratings
    Data Encryption8.020 Ratings00 Ratings
    Built-in Processors10.021 Ratings00 Ratings
    Platform Data Modeling
    Comparison of Platform Data Modeling features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Wolfram Mathematica
    -
    Ratings
    Multiple Model Development Languages and Tools10.021 Ratings00 Ratings
    Automated Machine Learning10.022 Ratings00 Ratings
    Single platform for multiple model development10.022 Ratings00 Ratings
    Self-Service Model Delivery8.020 Ratings00 Ratings
    Model Deployment
    Comparison of Model Deployment features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Wolfram Mathematica
    -
    Ratings
    Flexible Model Publishing Options9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls7.022 Ratings00 Ratings
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Wolfram Mathematica
    9.9
    6 Ratings
    20% above category average
    Pixel Perfect reports00 Ratings9.84 Ratings
    Customizable dashboards00 Ratings9.94 Ratings
    Report Formatting Templates00 Ratings9.96 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    23% above category average
    Drill-down analysis00 Ratings9.98 Ratings
    Formatting capabilities00 Ratings9.98 Ratings
    Integration with R or other statistical packages00 Ratings9.97 Ratings
    Report sharing and collaboration00 Ratings9.99 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Wolfram Mathematica
    9.3
    8 Ratings
    13% above category average
    Publish to Web00 Ratings9.97 Ratings
    Publish to PDF00 Ratings9.08 Ratings
    Report Versioning00 Ratings9.97 Ratings
    Report Delivery Scheduling00 Ratings8.95 Ratings
    Delivery to Remote Servers00 Ratings8.95 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM Watson Studio on Cloud Pak for Data and Wolfram Mathematica
    Feature
    IBM Watson Studio on Cloud Pak for Data
    -
    Ratings
    Wolfram Mathematica
    9.9
    9 Ratings
    24% above category average
    Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings9.99 Ratings
    Location Analytics / Geographic Visualization00 Ratings9.98 Ratings
    Predictive Analytics00 Ratings9.98 Ratings
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    IBM Watson StudioMathematica
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    User Ratings
    IBM Watson StudioMathematica
    Likelihood to Recommend
    8.0
    (65 ratings)
    9.9
    (9 ratings)
    Likelihood to Renew
    8.2
    (1 ratings)
    -
    (0 ratings)
    Usability
    9.6
    (2 ratings)
    -
    (0 ratings)
    Availability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Performance
    8.2
    (1 ratings)
    -
    (0 ratings)
    Support Rating
    8.2
    (1 ratings)
    9.5
    (2 ratings)
    In-Person Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Online Training
    8.2
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    7.3
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    8.2
    (1 ratings)
    -
    (0 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    -
    (0 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM Watson StudioMathematica
    Likelihood to Recommend
    IBM
    It has a lot of features that are good for teams working on large-scale projects and continuously developing and reiterating their data project models. Really helpful when dealing with large data. It is a kind of one-stop solution for all data science tasks like visualization, cleaning, analyzing data, and developing models but small teams might find a lot of features unuseful.
    Incentivized
    Read full review
    Wolfram
    We are the judgement that Wolfram Mathematica is despite many critics based on the paradigms selected a mark in the fields of the markets for computations of all kind. Wolfram Mathematica is even a choice in fields where other bolide systems reign most of the market. Wolfram Mathematica offers rich flexibility and internally standardizes the right methodologies for his user community. Wolfram Mathematica is not cheap and in need of a hard an long learner journey. That makes it weak in comparison with of-the-shelf-solution packages or even other programming languages. But for systematization of methods Wolfram Mathematica is far in front of almost all the other. Scientist and interested people are able to develop themself further and Wolfram Matheamatica users are a human variant for themself. The reach out for modern mathematics based science is deep and a unique unified framework makes the whole field of mathematics accessable comparable to the brain of Albert Einstein. The paradigms incorporated are the most efficients and consist in assembly on the market. The mathematics is covering and fullfills not just education requirements but the demands and needs of experts.
    Mathematica is incompatible with other systems for mCAx and therefore the borders between the systems are hard to overcome. Wolfram Mathematica should be consider one of the more open systems because other code can be imported and run but on the export side it is rathe incompatible by design purposes. A better standard for all that might solve the crisis but there is none in sight. Selection of knowledge of what works will be in the future even more focussed and general system might be one the lossy side. Knowledge of esthetics of what will be in the highest demand in necessary and Wolfram is not a leader in this field of science. Mathematics leves from gathering problems from application fields and less from the glory of itself and the formalization of this.
    Read full review
    Pros
    IBM
    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Incentivized
    Read full review
    Wolfram
    • It allows straightforward integration of analytic analysis of algebraic expressions and their numerical implemented.
    • Supports varying programmatic paradigms, so one can choose what best fits the problem or task: pure functions, procedural programming, list processing, and even (with a bit of setup) object-oriented programming.
    • The extensive and rich tools for graphical rendering make it very easy to not just get 2D and 3D renderings of final output, but also to do quick-and-dirty 2D and 3D rendering of intermediate results and/or debugging results.
    Incentivized
    Read full review
    Cons
    IBM
    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Incentivized
    Read full review
    Wolfram
    • Should include more libraries and functions.
    • Should include more functions that can be used in Machine Learning.
    • Should include more functions that can be used in Data Science.
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Usability
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Reliability and Availability
    IBM
    From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Performance
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Support Rating
    IBM
    I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
    Incentivized
    Read full review
    Wolfram
    Wolfram Mathematica is a nice software package. It has very nice features and easy to install and use in your machine. Besides this, there is a nice support from Wolfram. They come to the university frequently to give seminars in Mathematica. I think this is the best thing they are doing. That is very helpful for graduate and undergraduate students who are using Mathematica in their research.
    Incentivized
    Read full review
    In-Person Training
    IBM
    The trainers on the job are very smart with solutions and very able in teaching
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Online Training
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Implementation Rating
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Alternatives Considered
    IBM
    The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
    Incentivized
    Read full review
    Wolfram
    We have evaluated and are using in some cases the Python language in concert with the Jupyter notebook interface. For UI, we using libraries like React to create visually stunning visualizations of such models. Mathematica compares favorably to this alternative in terms of speed of development. Mathematica compares unfavorably to this alternative in terms of license costs.
    Incentivized
    Read full review
    Scalability
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Wolfram
    No answers on this topic
    Return on Investment
    IBM
    • Could instantly show data driven insights to drive 20% incremental revenue over existing results
    • Still don't have a real use case for unstructured data like twitter feed
    • Some of the insights around user actions have driven new projects to automate mundane tasks
    Incentivized
    Read full review
    Wolfram
    • Easy to solve huge mathematical equations, so it saved time there
    • Doing analysis and plotting graphs is also another plus point
    • Learning is very slow, and it took lot of time to learn its scripting language
    Incentivized
    Read full review
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