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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Watson Discovery

    Score9 out of 10
    N/AIBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.N/A

    MySQL

    Score8.4 out of 10
    N/AMySQL is a popular open-source relational and embedded database, now owned by Oracle.N/A
    Pricing
    IBM Watson DiscoveryMySQL
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Watson DiscoveryMySQL
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
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    IBM Watson DiscoveryMySQL
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Watson DiscoveryMySQL
    Likelihood to Recommend
    8.3
    (26 ratings)
    8.5
    (146 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    9.0
    (5 ratings)
    Usability
    4.8
    (3 ratings)
    7.9
    (18 ratings)
    Support Rating
    10.0
    (2 ratings)
    9.0
    (3 ratings)
    Implementation Rating
    -
    (0 ratings)
    8.0
    (1 ratings)
    User Testimonials
    IBM Watson DiscoveryMySQL
    Likelihood to Recommend
    IBM
    Overall, IBM Watson Discovery is an amazing technology that we use with our clients to address various business problems, but the biggest challenge has always been about ingesting, analyzing, enriching, and searching huge collections of documents and allowing our end users and SMEs to be able to search for what they need to reduce the time and efforts spent daily on a manual search through various collections of documents. We have successfully managed to reduce manual work by over 80%, and now our SMEs are being used for the skills they have to gather insights rather than do manual work.
    Incentivized
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    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.
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    Pros
    IBM
    • It is an excellently fast platform with documents and the answers to queries.
    • With automation learning beneficial as it saves time.
    • When searching for a document, everything stays located and easy to find.
    • Acceptance of various documents.
    • It has a quite comfortable Technical support, always available when required.
    Incentivized
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    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
    Incentivized
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    Cons
    IBM
    • I believe AI should be more flexible about providing data. However, it's understandable that you need to provide the details you need in a more specific and detailed way.
    • The interface could use more tweaking. Being new to the program, it was kind of hard to navigate.
    • Luckily, there was a customized feature of the dashboard that I could set up, and having something that you know where you are placed always feels familiar and comfortable.
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    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.
    Incentivized
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    Likelihood to Renew
    IBM
    No answers on this topic
    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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    Usability
    IBM
    IBM Watson Discovery has the best user capabilities and easily transform business decision-making portfolio. The automation system saves time used in data analysis as opposed to manual research that consumes a lot of time. The visualization across the dashboard enables my team to interpret complex data and use it to make reliable marketing decisions.
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    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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    Support Rating
    IBM
    Similar to all IBM Watson and Salesforce product solutions, the overall support would be a 10/10. Their provided FAQ's help with frequently experienced issues and if still unable to figure something out, their customer service representatives are always super responsive. With instant chat functions available, it is easy to ask a quick question rather than sitting on hold.
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    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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    Implementation Rating
    IBM
    No answers on this topic
    Oracle
    1. Estimate your data size. 2. Test, test, and test.
    Incentivized
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    Alternatives Considered
    IBM
    Discovery differs from its competitors due to the better ease of implementation and the high level of natural language recognition, it is equal in integration resources such as API and workflow or process pipeline, but it loses in the price for a high volume of documents and/or research. If you own or plan to use other services from the IBM Watson family, there is no doubt that Watson discovery is your best option. Another important point is if you plan to use a cloud or on-premise service (local server or private cloud).
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    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.
    Incentivized
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    Return on Investment
    IBM
    • We find its Enterprise plan expensive for a country of LATAM. For US or Europe based businesses, looks great.
    • A Big Data and massive queries based company would find the service expensive. Maybe a flat price plan would be helpful.
    • Have you thought in making a cheaper plan where you take the learning from your customer's data to enrich your AI tool?
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    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
    Incentivized
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