What are the differences between MongoDB and MySQL?

What are the differences between MongoDB and MySQL?

MongoDB is a NoSQL database that stores data in flexible, JSON-like documents, while MySQL is a relational database that uses structured tables. This leads to differences in scalability, data structure, and query language.

Which one is better for large-scale applications?

For large-scale applications, MongoDB is often preferred due to its horizontal scalability and ability to handle unstructured data. However, MySQL can also be optimized for performance with proper indexing and partitioning.

Can you give examples of when to use each?

Use MongoDB for applications requiring high flexibility, like content management systems or real-time analytics. Use MySQL for applications needing complex transactions, like banking systems or e-commerce platforms.

What about performance and speed?

MongoDB can offer faster write speeds due to its schema-less nature, while MySQL generally provides faster read speeds for structured queries. Performance can vary based on the specific use case and data model.