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Caffe Deep Learning Framework vs. Microsoft SQL Server

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Caffe Deep Learning Framework

    Score7 out of 10
    N/ACaffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.N/A

    Microsoft SQL Server

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

    $1,418

    Per License

    Pricing
    Caffe Deep Learning FrameworkMicrosoft SQL Server
    Editions & Modules
    No answers on this topic
    Subscription
    $1,418.00
    Per License
    Enterprise
    $13,748.00
    Per License
    Offerings
    Pricing Offerings
    Caffe Deep Learning FrameworkMicrosoft 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
    Caffe Deep Learning FrameworkMicrosoft SQL Server
    Considered Both Products
    Open Source
    No answer on this topic
    Microsoft
    No answer on this topic
    Key User Insights
    Would buy again
    No answers on this topic
    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
    No answers on this topic
    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
    Best Alternatives
    Caffe Deep Learning FrameworkMicrosoft SQL Server
    Small Businesses
    TensorFlow
    Score7.6 out of 10
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    Score8.1 out of 10
    Medium-sized Companies
    Google Cloud AI
    Score8.7 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    Google Cloud AI
    Score8.7 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Caffe Deep Learning FrameworkMicrosoft SQL Server
    Likelihood to Recommend
    4.0
    (1 ratings)
    7.9
    (107 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (8 ratings)
    Usability
    -
    (0 ratings)
    7.6
    (17 ratings)
    Availability
    -
    (0 ratings)
    10.0
    (1 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    -
    (0 ratings)
    7.9
    (26 ratings)
    In-Person Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    9.0
    (1 ratings)
    Implementation Rating
    -
    (0 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
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor post-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    Vendor pre-sale
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Caffe Deep Learning FrameworkMicrosoft SQL Server
    Likelihood to Recommend
    Open Source
    Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.
    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
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    Pros
    Open Source
    • Caffe is good for traditional image-based CNN as this was its original purpose.
    Incentivized
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    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
    Open Source
    • Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
    • Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
    • Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
    • The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.
    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
    Open Source
    No answers on this topic
    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
    Open Source
    No answers on this topic
    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
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    Reliability and Availability
    Open Source
    No answers on this topic
    Microsoft
    Its does not have outages.
    Incentivized
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    Performance
    Open Source
    No answers on this topic
    Microsoft
    SSAS data cubes may some time slow down your Excel reports.
    Incentivized
    Read full review
    Support Rating
    Open Source
    No answers on this topic
    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
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    In-Person Training
    Open Source
    No answers on this topic
    Microsoft
    It was good
    Incentivized
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    Online Training
    Open Source
    No answers on this topic
    Microsoft
    very hands on and detailed training
    Incentivized
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    Implementation Rating
    Open Source
    No answers on this topic
    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
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    Alternatives Considered
    Open Source
    TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.
    Incentivized
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    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
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    Scalability
    Open Source
    No answers on this topic
    Microsoft
    SQL server does handle growing demands of a mid sized company.
    Incentivized
    Read full review
    Return on Investment
    Open Source
    • Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.
    Incentivized
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    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
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    ScreenShots