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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    pandas

    Score10 out of 10
    N/Apandas is an open source, BSD-licensed library providing high-performance data structures and data analysis tools for the Python programming language. pandas is a Python package providing expressive data structures designed to make working with “relational” or “labeled” data both easier. It aims to be the fundamental high-level building block for doing practical, real-world data analysis in Python.N/A

    Microsoft SQL Server

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

    $1,418

    Per License

    Pricing
    pandasMicrosoft SQL Server
    Editions & Modules
    No answers on this topic
    Subscription
    $1,418.00
    Per License
    Enterprise
    $13,748.00
    Per License
    Offerings
    Pricing Offerings
    pandasMicrosoft 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
    pandasMicrosoft 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
    Features
    pandasMicrosoft SQL Server
    Platform Connectivity
    Comparison of Platform Connectivity features of pandas and Microsoft SQL Server
    Feature
    pandas
    8.5
    1 Ratings
    2% above category average
    Microsoft SQL Server
    -
    Ratings
    Connect to Multiple Data Sources8.01 Ratings00 Ratings
    Extend Existing Data Sources8.01 Ratings00 Ratings
    Automatic Data Format Detection10.01 Ratings00 Ratings
    MDM Integration8.01 Ratings00 Ratings
    Best Alternatives
    pandasMicrosoft SQL Server
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    RapidMiner
    Score8.9 out of 10
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    Score8.1 out of 10
    Medium-sized Companies
    Anaconda
    Score8.8 out of 10
    SingleStore
    Score8.2 out of 10
    Enterprises
    IBM Watson Studio
    Score10 out of 10
    SAP IQ
    Score5.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    pandasMicrosoft SQL Server
    Likelihood to Recommend
    10.0
    (1 ratings)
    7.9
    (107 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    9.0
    (8 ratings)
    Usability
    10.0
    (1 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
    pandasMicrosoft SQL Server
    Likelihood to Recommend
    Open Source
    Pandas are great for quick and relatively simple analytics and visualizations
    Pandas work well for exploratory ad-hoc analytic work
    But , We had little success in implementing complicated predictive analytics. And large data sizes can be a problem.
    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
    • It is easy to do statistical analysis
    • It is easy to clean the data
    • It is easy to produce graphs and charts to visualize
    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
    Open Source
    • There are a lot of libraries and ways to do visualization. Sometimes it is very confusing.
    • Error handling can be a challenge. Sometimes the error messages do not provide valuable clues for the debugging.
    • In our case, there are a bunch of different frameworks and libraries working together. I would rather work with one framework, well tuned for my use case
    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
    Over the years, we tried a lot of different frameworks and tools, homegrown and commercial. Pandas provide the best results.
    It is lightweight, flexible and easy to implement.
    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
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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
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    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
    All these frameworks are great for gathering data and providing some initial analysis. But for real performance debugging work one needs more than tools provided by this tools. That's where the pandas excel.
    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
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    Return on Investment
    Open Source
    • Performance debugging was time consuming and mostly poorly automated exploratory process. Once we started use pandas for these tasks, it really moved the needle. Pandas are instrumental to provide actionable insights. As a result we were able to improve notably cloud software resource utilization and performance
    • Analytics implemented with pandas allow us to detect and. address problems in our APIs before they are notable to our customers
    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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