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IBM Watson Studio on Cloud Pak for Data vs. Microsoft SQL Server

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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

    Microsoft SQL Server

    Score8.7 out of 10
    N/AMicrosoft SQL Server is a relational database.

    $1,418

    Per License

    Pricing
    IBM Watson StudioMicrosoft SQL Server
    Editions & Modules
    No answers on this topic
    Subscription
    $1,418.00
    Per License
    Enterprise
    $13,748.00
    Per License
    Offerings
    Pricing Offerings
    IBM Watson StudioMicrosoft SQL Server
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Watson StudioMicrosoft SQL Server
    Considered Both Products
    IBM
    Chose IBM Watson Studio
    I think they are very similar but IBM Watson is not good enough yet to pay for the services that I can already get from Jupyter Notebook.
    Incentivized
    Chose IBM Watson Studio
    It is the first product we tried.
    Incentivized
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    100%
    Would buy again
    5 Answers
    100%
    Would buy again
    53 Answers
    Delivers good value for the price
    No answers on this topic
    96%
    Delivers good value for the price
    45 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    5 Answers
    100%
    Happy with the feature set
    53 Answers
    Lived up to sales and marketing promises
    No answers on this topic
    100%
    Lived up to sales and marketing promises
    39 Answers
    Implementation went as expected
    No answers on this topic
    100%
    Implementation went as expected
    45 Answers
    Features
    IBM Watson StudioMicrosoft SQL Server
    Platform Connectivity
    Comparison of Platform Connectivity features of IBM Watson Studio on Cloud Pak for Data and Microsoft SQL Server
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.1
    22 Ratings
    3% below category average
    Microsoft SQL Server
    -
    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 Microsoft SQL Server
    Feature
    IBM Watson Studio on Cloud Pak for Data
    10.0
    22 Ratings
    17% above category average
    Microsoft SQL Server
    -
    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 Microsoft SQL Server
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    15% above category average
    Microsoft SQL Server
    -
    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 Microsoft SQL Server
    Feature
    IBM Watson Studio on Cloud Pak for Data
    9.5
    22 Ratings
    12% above category average
    Microsoft SQL Server
    -
    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 Microsoft SQL Server
    Feature
    IBM Watson Studio on Cloud Pak for Data
    8.0
    22 Ratings
    6% below category average
    Microsoft SQL Server
    -
    Ratings
    Flexible Model Publishing Options9.022 Ratings00 Ratings
    Security, Governance, and Cost Controls7.022 Ratings00 Ratings
    Best Alternatives
    IBM Watson StudioMicrosoft SQL Server
    Small Businesses
    RapidMiner
    Score8.9 out of 10
    Amazon RDS
    Score8.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    Posit
    Score10 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson StudioMicrosoft SQL Server
    Likelihood to Recommend
    8.0
    (65 ratings)
    7.9
    (107 ratings)
    Likelihood to Renew
    8.2
    (1 ratings)
    9.0
    (8 ratings)
    Usability
    9.6
    (2 ratings)
    7.6
    (17 ratings)
    Availability
    8.2
    (1 ratings)
    10.0
    (1 ratings)
    Performance
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Support Rating
    8.2
    (1 ratings)
    7.9
    (26 ratings)
    In-Person Training
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Online Training
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    7.3
    (1 ratings)
    9.0
    (6 ratings)
    Configurability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Data Sharing and Collaboration
    -
    (0 ratings)
    9.0
    (5 ratings)
    Data Sources
    -
    (0 ratings)
    10.0
    (5 ratings)
    Ease of integration
    -
    (0 ratings)
    9.0
    (1 ratings)
    Product Scalability
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    Vendor post-sale
    7.3
    (1 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    8.2
    (1 ratings)
    9.0
    (1 ratings)
    User Testimonials
    IBM Watson StudioMicrosoft SQL Server
    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
    Microsoft
    Microsoft SQL is ubiquitous, while MySQL runs under the hood all over the place. Microsoft SQL is the platform taught in colleges and certification courses and is the one most likely to be used by businesses because it is backed by Microsoft. Its interface is friendly (well, as pleasant as SQL can be) and has been used by so many for so long that resources are freely available if you encounter any issues.
    Incentivized
    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
    Microsoft
    • Easy to configure and use with Visual Studio and Dot Net
    • Easy integration with MSBI to perform data analysis
    • Data Security
    • Easy to understand and use
    • Very easy to export database and tables in the form of SQL query or a script
    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
    Microsoft
    • Microsoft SQL Server Enterprise edition has a high cost but is the only edition which supports SQL Always On Availability Groups. It would be nice to include this feature in the Standard version.
    • Licensing of Microsoft SQL Server is a quite complex matter, it would be good to simplify licensing in the future. For example, per core vs per user CAL licensing, as well as complex licensing scenarios in the Cloud and on Edge locations.
    • It would be good to include native tools for converting Oracle, DB2, Postgresql and MySQL/MariaDB databases (schema and data) for import into Microsoft SQL Server.
    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
    Microsoft
    We understand that the Microsoft SQL Server will continue to advance, offering the same robust and reliable platform while adding new features that enable us, as a software center, to create a superior product. That provides excellent performance while reducing the hardware requirements and the total cost of ownership of our solution.
    Incentivized
    Read full review
    Usability
    IBM
    The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
    Incentivized
    Read full review
    Microsoft
    SQL Server mostly 'just works' or generates error messages to help you sort out the trouble. You can usually count on the product to get the job done and keep an eye on your potential mistakes. Interaction with other Microsoft products makes operating as a Windows user pretty straight forward. Digging through the multitude of dialogs and wizards can be a pain, but the answer is usually there somewhere.
    Incentivized
    Read full review
    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
    Microsoft
    Its does not have outages.
    Incentivized
    Read full review
    Performance
    IBM
    Never had slow response even on our very busy network
    Incentivized
    Read full review
    Microsoft
    SSAS data cubes may some time slow down your Excel reports.
    Incentivized
    Read full review
    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
    Microsoft
    We managed to handle most of our problems by looking into Microsoft's official documentation that has everything explained and almost every function has an example that illustrates in detail how a particular functionality works. Just like PowerShell has the ability to show you an example of how some cmdlet works, that is the case also here, and in my opinion, it is a very good practice and I like it.
    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
    Microsoft
    It was good
    Incentivized
    Read full review
    Online Training
    IBM
    The Platform is very handy and suggests further steps according my previous interests
    Incentivized
    Read full review
    Microsoft
    very hands on and detailed training
    Incentivized
    Read full review
    Implementation Rating
    IBM
    It surprised us with unpredictable case of use and brand new points of view
    Incentivized
    Read full review
    Microsoft
    Other than SQL taking quite a bit of time to actually install there are no problems with installation. Even on hardware that has good performance SQL can still take close to an hour to install a typical server with management and reporting services.
    Incentivized
    Read full review
    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
    Microsoft
    [Microsoft] SQL Server has a much better community and professional support and is overall just a more reliable system with Microsoft behind it. I've used MySQL in the past and SQL Server has just become more comfortable for me and is my go to RDBMS.
    Incentivized
    Read full review
    Scalability
    IBM
    It helped us in getting from 0 to DSX without getting lost
    Incentivized
    Read full review
    Microsoft
    SQL server does handle growing demands of a mid sized company.
    Incentivized
    Read full review
    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
    Microsoft
    • Increased accuracy - We went from multiple users having different versions of an Excel spreadsheet to a single source of truth for our reporting.
    • Increased Efficiency - We can now generate reports at any time from a single source rather than multiple users spending their time collating data and generating reports.
    • Improved Security - Enterprise level security on a dedicated server rather than financial files on multiple laptop hard drives.
    Incentivized
    Read full review
    ScreenShots