The Similarities and Differences Of MySQL and MongoDB
First of all some similarities of MongoDB and MySQL are that they are both database management systems that allow you to store and retrieve data. They also both support ACID (Atomicity, Consistency, Isolation, Durability) that ensure data integrity. They also both have a query language, MySQL used Structured Query Language and MongoDB used MQL, MongoDB Query Language.
The differences between the two are many. MySQL is more rigid and structured using a relational data model whereas MongoDB is a NoSQL which is more flexible and is schema-less. MongoDB uses horizontal scalability where you can store data across multiple servers and MySQL traditionally uses vertical scalability with using a single server. Also, MySQL uses joins and foreign keys to handle complex relationships in the data, whereas MongoDB, being a document database, uses document references and denormalization.
When to choose one or the other of the DMS depends on your situation. If your data has a well-defined structure and it is more suited for a relational model, MySQL would be the better choice. However, if you data is constantly changing and require a flexible schema design MongoDB would be a better choice. If you have a larger database, MongoDB would be better as it uses horizontal scalability. The development speed of MongoDB is better than MySQL if that is an issue. If you want a DMS that really relies on complex relationships etc, then MySQL may be more appropriate.
MySQL and MongoDB share many similarities and differences and it is up to you to decide what will work best for your application.
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