MySQL

MongoDB is an application oriented solution with unstructured data. Percona Server for MySQL is a good solution when looking for performance peaks and the amount of data grows continuously over time. MySQL is the ideal solution when we have a data schema defined and we do not have great requirements at the performance level.

MySQL offers best conditions for a rapid adoption at the organization.
Also because it's free software, you can scale up in implementations without worrying about licenses fees.

I used these RDBMS in the past in previous companies. In the company I currently work at, we used MySQL from day one. The main benefit over Microsoft's SQL server is that MySQL is free to use (GNU) which makes it easier for startups in their early days when trying to minimize costs.

We're using InfluxDB for statistics. MongoDB is getting used for big documents which are more accessible for us when saved as documents in MongoDB. Redis is used for caching. PostgreSQL is mainly there to get used for software that only supports this type of database.

MySQL has most of the functionality of other, very costly, alternatives without the big price tag. It is open-source with improvements coming at a relatively good rate. It is not as robust as those other offerings and can have some challenging points at scale for large applications, but in terms of cost vs. value is very difficult to beat.

MySQL is easy to use and provides a better performance than SQLite. MySQL is very user-friendly.

Microsoft SQL can be considered as an enterprise level software since it is recommended for large businesses. Microsoft SQL has some unique categories like big data processing, DBMS, etc. whereas MySQL is not capable of handling such features. I guess this is how these both differ from each other since Microsoft SQL is full of functionality and features.

I've been using MySQL for so long that it's my go-to RDBMS. I really like MySQL Workbench in conjunction with MySQL. I've experimented with Amazon DynamoDB in my personal time.

MySQL has a GUI which makes it easy for developers to work upon. It has all features like replication, backup and crash recovery. Also since it is freely available it becomes commercially feasible for people to use this DB. Also MySQL can be easily used as a back end for the front end languages like Java, PHP and ASP.NET. Thus integration with front end languages is an easy option.

MySQL provides the option to reduce support and maintenance cost when P0 Level 1 support is not really needed for databases used for noncritical use cases and workloads. Other versions that include Microsoft SQL, Amazon RDS, etc don't provide such options and are overkill. MySQL is also more widely used and easy to hire developers for it than the commercial versions ( Microsoft, Amazon, IBM).

It is one of the tools that we had stopped using some time ago and in the last year we amplified its use thanks to its benefits and new functionalities.

Easy to use.
Cost-effective.
Integration with development tools.

I selected MySQL for small and medium companies and software.

When using MySQL I get Oracle support. MariaDB is not a bad alternative, but it doesn't have the same level of support.

Of course compare to no SQL databases it's slower but there is a completely different use case for them... In my opinion it is better than PostgreSQL, it's easier to configure and has the same performance, or approximately the same. Of course Oracle Database is a way bigger choice, smarter faster etc...

For our needs, MySql was enough and it was better known than the others.

MySQL is much more flexible and easy to start using.

Postgress, AuroraDB

MySQL is perceived as less scalable than DB2. DB2 provides for an easy migration up to more scale if it is acceptable or required to remain in the IBM ecosystem, which can scale all the way to z-Series mainframes. For some enterprises like insurance and banking, this is a significant advantage.

MySQL is my favorite database system.

MySQL is not used very often for ML.

Oracle has tons of SQL features that others do not have (e.g. bulk processing), and the price is good.

MySQL offers some of the features as Oracle Database 12c, however, there are many crucial ones that are missed. Features such as OLAP, really make Oracle Database 12c a clear winner here. We use both databases in our organization for separate reasons, MySQL for prototyping, and Oracle Database 12c for our production environments.

We use MySQL because it's easy to set up and use.

Faster and quicker to set up.