MongoDB vs MySQL: Choosing the Database for Your Project
MySQL has become an inexpensive option for organizations around the globe that need a relational database. However, as the variety and volume of data has increased in recent years, non-relational databases like MongoDB have arisen to meet the new needs of the fluid data.
MySQL is a relational database management system (RDBMS) from the Oracle Corporation. Like other relational systems, MySQL stores data in tables and uses structured query language (SQL) for database access.
Use cases for MySQL:
- eCommerce applications;
- LAMP Open-source stack;
- Governmental websites.
MongoDB is a NoSQL database that stores data as JSON-like documents. Documents store related information together and use the MongoDB query language (MQL) for access. Fields can vary from document to document — there is no need to declare their structure to the system, as they are self-describing.
Use cases for MongoDB:
- Asset management and item catalogs;
- Real-time analytics;
- Content management.
Follow the guide below to learn more.
