MySQL vs. Particle

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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We used in mostly all cases in our company. It is best for beginner users and for getting started for IoT Developers. You can give it to any beginner and they can easily learn in just a few minutes. I can say the best product for the starter projects. Everything is just fab!

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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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• Particle is simple to use and accessible to any user.
• The servers housed in the data center allow us to respond to any problem
• Through the interface the data is analyzed in a very simple way.
• Ideal interface for the exploitation of our devices, computers and mobile phones.
• The interface for iOTs allows us to interact with the system in a few steps.
• It allows, among other things, the display of information calculated from the data collected from different iOTs, in an understandable way.

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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 Advanced programs, a bit complicated to programme.
• Pin Limitations (Photon DevKit).
• Pricing is high compared to others.

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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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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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Efficient integration of multiple devices very well integrated and with a minimum implementation time.

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

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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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I have used other IoT Development Modules like Arduino, Raspberry Pi, and others. Most of all starter kit doesn't come with WiFi or Cellular built-in. Arduino is a basic module where you have to add WiFi or Cellular manually in it. Raspberry Pi has WiFi but it cannot be used for small or medium use cases, it can be used in advanced and complex systems building and it is costlier.

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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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• It ensures very good results, with recovery of the investment in a short time.

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