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Lesson 2 of 3By Chinmayee Deshpande
Databases are what make everything possible today. Be it fetching your favorite songs to making online transactions, data is stored and retrieved as and when necessary. Database Management Systems make all of this possible. This tutorial on MySQL vs. MongoDB will compare the two widely-used Database management systems.
MongoDB is a NoSQL (Not only SQL) database that stores large volumes of data in the form of documents. MongoDB removes the concept of "rows" of conventional and relational data models by introducing "documents." This offers the developers the flexibility to work with evolving data models.
MySQL is a free, open-source, relational database management system that stores data in the form of tables containing rows and columns. It uses RDBMS to ensure referential integrity between the rows of a table and interprets queries to fetch information from the database.
Now that you the objectives of these database management systems, let’s look at some of the differences between them.
It stores each individual record as a table cell with rows and columns
It stores unrelated data in JSON like documents
MySQL requires a schema definition for the tables in the database
MongoDB doesn’t require any prior schema
Supports Structured Query Language (SQL)
Supports JSON Query Language to work with data
Supports the usage of Foreign keys
Doesn’t support the usage of Foreign keys
Supports master-slave replication and master-master replication
Supports sharding and replication
SQL Database can be scaled vertically
MongoDB database can be scaled both vertically and horizontally
Supports Join operation
Doesn’t support Join operation
Optimized for high performance joins across multiple tables
Optimized for write performance
Prone to SQL injection attack
Since there’s no schema, lesser risks involved
There are currently (always increasing) about 222k repositories and 7Million commits on GitHubfor support on MySQL
There are currently (always increasing) about 177k repositories and 923k commits on GitHub for support on MongoDB
According to Google trends, MySQL has been largely adopted over recent years.
Applications, like an accounting system that requires multi-row transactions, would be better suited for a relational database. MySQL is an excellent choice if you have structured data and need a traditional relational database.
MongoDB is well-suited for real-time analytics, content management, the Internet of Things, mobile, and other types of applications. It is an ideal choice if you have unstructured and/or structured data with rapid growth potential.
We hope this article on MySQL vs. MongoDB' has helped you better understand the two DBMS. Also, understand the difference between SQL and MySQL. If you wish to make a career as a developer, then Caltech Post Graduate Program in Data Science certification will come in handy.
Simplilearn’s MongoDB Certification Training Course will help you master popular and essential topics like query, ingestion, sharding, data modeling, and data replication with MongoDB, along with the installation, update, and maintenance of the MongoDB environment. This course will also help you gain high-level proficiency in handling MongoDB configuration and backup methods, and the required monitoring and operational strategies.
Have any questions for us regarding MongoDB? Please place them in the comments section of this page, and our industry experts will get back to you soon!
Chinmayee is a Research Analyst and a passionate writer. Being a technology enthusiast, her thorough knowledge about the subject helps her develop structured content and deliver accordingly.
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