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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    MySQL

    Score8.4 out of 10
    N/AMySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A

    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
    Pricing
    MySQLpandas
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    MySQLpandas
    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
    MySQLpandas
    Considered Both Products
    Oracle
    No answer on this topic
    Open Source
    No answer on this topic
    Key User Insights
    Would buy again
    94%
    Would buy again
    49 Answers
    No answers on this topic
    Delivers good value for the price
    100%
    Delivers good value for the price
    51 Answers
    No answers on this topic
    Happy with the feature set
    98%
    Happy with the feature set
    51 Answers
    No answers on this topic
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    36 Answers
    No answers on this topic
    Implementation went as expected
    100%
    Implementation went as expected
    46 Answers
    No answers on this topic
    Features
    MySQLpandas
    Platform Connectivity
    Comparison of Platform Connectivity features of MySQL and pandas
    Feature
    MySQL
    -
    Ratings
    pandas
    8.5
    1 Ratings
    2% above category average
    Connect to Multiple Data Sources00 Ratings8.01 Ratings
    Extend Existing Data Sources00 Ratings8.01 Ratings
    Automatic Data Format Detection00 Ratings10.01 Ratings
    MDM Integration00 Ratings8.01 Ratings
    Best Alternatives
    MySQLpandas
    Small Businesses
    MariaDB Platform
    Score9.1 out of 10
    RapidMiner
    Score8.9 out of 10
    Medium-sized Companies
    PostgreSQL
    Score8.8 out of 10
    Anaconda
    Score8.8 out of 10
    Enterprises
    SQLite
    Score8 out of 10
    IBM Watson Studio
    Score10 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    MySQLpandas
    Likelihood to Recommend
    8.5
    (146 ratings)
    10.0
    (1 ratings)
    Likelihood to Renew
    9.0
    (5 ratings)
    -
    (0 ratings)
    Usability
    7.9
    (18 ratings)
    10.0
    (1 ratings)
    Support Rating
    9.0
    (3 ratings)
    -
    (0 ratings)
    Implementation Rating
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    MySQLpandas
    Likelihood to Recommend
    Oracle
    MySQL is best suited for applications on platform like high-traffic content-driven websites, small-scale web apps, data warehouses which regards light analytical workloads. However its less suited for areas like enterprise data warehouse, OLAP cubes, large-scale reporting, applications requiring flexible or semi-structured data like event logging systems, product configurations, dynamic forms.
    Incentivized
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    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.
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    Pros
    Oracle
    • Stable - it just runs, with minimal downtime or errors
    • Fast - well-structured data is quickly written and read
    • Secure - MySQL is easy to keep data secure from people and applications that shouldn't see it
    • Easy to use - SQL is industry standard so no problems with adding, editing and reading data stored in MySQL
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    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
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    Cons
    Oracle
    • Learning curve: is big. Newbies will face problems in understanding the platform initially. However, with plenty of online resources, one can easily find solutions to problems and learn on the go.
    • Backup and restore: MySQL is not very seamless. Although the data is never ruptured or missed, the process involved is not very much user-friendly. Maybe, a new command-line interface for only the backup-restore functionality shall be set up again to make this very important step much easier to perform and maintain.
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    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
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    Likelihood to Renew
    Oracle
    For teaching Databases and SQL, I would definitely continue to use MySQL. It provides a good, solid foundation to learn about databases. Also to learn about the SQL language and how it works with the creation, insertion, deletion, updating, and manipulation of data, tables, and databases. This SQL language is a foundation and can be used to learn many other database related concepts.
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    Open Source
    No answers on this topic
    Usability
    Oracle
    I give MySQL a 9/10 overall because I really like it but I feel like there are a lot of tech people who would hate it if I gave it a 10/10. I've never had any problems with it or reached any of its limitations but I know a few people who have so I can't give it a 10/10 based on those complaints.
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    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.
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    Support Rating
    Oracle
    We have never contacted MySQL enterprise support team for any issues related to MySQL. This is because we have been using primarily the MySQL Server community edition and have been using the MySQL support forums for any questions and practical guidance that we needed before and during the technical implementations. Overall, the support community has been very helpful and allowed us to make the most out of the community edition.
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    Open Source
    No answers on this topic
    Implementation Rating
    Oracle
    1. Estimate your data size. 2. Test, test, and test.
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    Open Source
    No answers on this topic
    Alternatives Considered
    Oracle
    MongoDB has a dynamic schema for how data is stored in 'documents' whereas MySQL is more structured with tables, columns, and rows. MongoDB was built for high availability whereas MySQL can be a challenge when it comes to replication of the data and making everything redundant in the event of a DR or outage.
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    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.
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    Return on Investment
    Oracle
    • As it is an open source solution through community solution, we can use it in a multitude of projects without cost license
    • The acquisition by Oracle makes you need to contract support for the enterprise version
    • If you have knowledge about oracle databases, you can get more out of the enterprise version
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    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
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