IBM watsonx.data intelligence vs. MySQL

The IBM Watson Knowledge Catalog is most well suited for large companies. With large companies storing data for a long amount of time, this can be helpful to allow all team members to find documents with ease. It would be less appropriate for storage that is deleted very often or does not needs to be saved for long amounts of time.

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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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• Data discovery.
• Technical Data Lineage.
• Business Data Lineage.
• Data .
• Multiple Data Catalog Management.
• Creation of Governance Rules.
• Data Masking.

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• 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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• I think an industry-specific data catalog service will be good.
• Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
• Effective reach out like roadshows, etc. will be good.

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• 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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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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It is very easy to use and very intuitive Es muy sencilla de utilizar y muy intuitiva

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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.

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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1. Estimate your data size. 2. Test, test, and test.

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The IBM Watson Knowledge Catalog is a great amount of storage for the price. It is easily accessed by all users in the company. It provides great search features and clear pathways to locate documents. This is great for the team and our client when needing access to a specific document.

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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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• The negative note: is that it needs to have a very secure cloud infrastructure and with its data well defined for integration with other databases.
• The positive point: allows for quick data discoveries aiding a quick implementation of privacy programs.

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• 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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