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Recommended
Timothy B.
Computer Software, 1-10 employees
Used daily for 2+ years
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MySQL has helped me and my team quickly launch new projects and literally have complete databases up and ready to use in an hour. We can always use a template that we created and saved in the SQL format and then import it and adjust as needed.
The price! MySQL is free and included in every major web hosting company that I've came across. It is so easy to use and it just works. I love the ease of implementation and how easy it is to import and export new tables and even complete databases. Additionally you can usually find phpMyAdmin bundled in with MySQL which makes managing and manipulating the databases a breeze.
MySQL does not offer data domain objects or extensibility. However, I have never needed either and this is why MySQL is always our go-to for making quick easy manipulatable databases online.
Varshini S.
Information Technology and Services, 10,001+ employees
Used daily for 2+ years
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Many components are provisioned to be redundant so that they operate as per our requirements. It requires less maintenance and administration when compared with other database. It's data replication logic effectively coordinates between our nodes and provide workaround for our deployments. We can perform group replication to make our application to be fault tolerant, preventing server failures by isolating them upon anomalies.
It's user interface is simple & straightforward to work around and navigate with our applications. We can comfortably connect with its endpoint and perform backend activities with any programming languages. It effectively manages our web hosted applications and carry out administration activities with simplicity. Since it's open source database system, we can deploy any application with structured data.
Installing cloud based MySQL service with AWS, Azure and GCP is relatively easy when compared to other systems. While working with large database requirements, we have encountered few performance issues and slowness. It's DB clustering configurations are complex and requires experience for handling current trends in data processing.