Difference between Mongo DB and MySQL


The two most common databases for enterprise applications are MySQL and MongoDB. Even though both databases are free and open-source, they have significant variances. Based on several characteristics, we’ll compare the differences between MySQL and MongoDB database systems.

What is Mongo DB

MongoDB is a document-oriented, open-source, cross-platform NoSQL database that offers excellent performance, large data storage, a sophisticated query language, and automated scaling. It’s written in C++, developed and maintained by 10gen. The developers find it straightforward to use and learn. It uses a JSON-like format to store data. MongoDB was created with the concept of collection and document in mind.

What is MySQL

MySQL is a well-known database management system used to handle relational databases. Oracle Corporation provides support for this open-source database. Compared to Microsoft SQL Server and Oracle Database, it is a quick, scalable, and simple database management system. It’s frequently used with PHP scripts to build robust and dynamic server-side or web-based enterprise applications.

MySQL AB, a Swedish company, developed and maintains it, and it is written in the C and C++ computer languages. Many small and large businesses utilize MySQL. MySQL supports a wide range of operating systems, including Windows, Linux, macOS, and others, using the C, C++, and Java programming languages.

Difference between Mongo DB  vs MySQL

C and C++ are the programming languages used to create it.It’s written in C++, Java, and C.
MySQL keeps track of each record in a table, which may be accessed via SQL queries.MongoDB saves each record as a JSON-like document with a variety of structures.
MySQL processes and accesses the database using Structured Query Language. We are unable to alter its structure. Only inputs with a predefined schema are allowed. Unstructured and semi-structured data are not supported by MySQL.MongoDB is a NoSQL (non-relational) database system. It means we can define and stick to the incoming data’s specified structure. Working with unstructured and semi-structured data is possible with NoSQL, which is not possible with RDBMS. Its structure can be altered.
Table, Row, Columns Joins are used.It makes use of Collection, Document Field, Embedded Document, as well as links.
Vertically, it scales in.Horizontally, it scales in.
It is not possible to cancel the query while it is running.This database system enables us to halt the query in the middle of its execution.
Its user interface is MySQL Workbench.Its user interface is SQL Server Management Studio (SSMS).
On May 23, 1995, it was initially released.On April 24, 1989, it was first released.
You’ll need a username, password, and host to access the database.You’ll need a login, password, and profile validation to access the database.
It can only be used with a static system.It can deal with both static and dynamic systems.
The schema design cannot be altered once it has been defined.It supports dynamic schema since its schema design can be updated.
If the index isn’t found, the database engine looks for rows across the entire table.If the index isn’t found, the database engine scans every document in the collection for exact matches.
8.0.21 MySQL (February 2020)4.2 MongoDB (February 2020)


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