DIFFERENCE BETWEEN MONGODB AND MYSQL

MySQL

MySQL uses Structured Query Language (SQL) to store its data in the table and access the data. Using MySQL schemes to define a database structure, all rows in a table must have the same structure with values ​​specified by a specific data type.

MongoDB

In MongoDB, data is stored in documents such as JSON, which may have different configurations. In order to increase query speed, It can store related data together which can be access using MongoDB Query language. The absence of the MongoDB schema allows you to create documents without first defining the structure of the document.However, Many Website Design Company in Bangalore still opt to choose MySQL, even if the focus is on MongoDB development.

Difference between Mysql and MongoDB

Performance and Speed

A single major advantage over MySQL is its ability to handle large unstructured data.
Developers note that MySQL is very slow compared to MongoDB when dealing with large databases.

The Security Model

MongoDB uses role-based access control with a flexible offering. Its security features include authentication, auditing and authentication.

MySQL uses a privilege-based security model. This means it authenticates a user and makes it easy for user privileges on a specific database such as CREATE, SELECT, INSERT, UPDATE and more.

Deployment and Social Support

MongoDB It is currently owned and developed by MongoDB Inc. Deploying MongoDB is very easy. It is also available for SaaS, Cloud and Web applications and can run on multiple platforms including Linux, Windows and MacOS.

MySQL  is currently owned and developed by Oracle Corporation. MySQL can be installed manually from source code.

Flexibility of the Schema

In MongoDB,there are no restrictions on schema design. You can drop two documents into one package, and there is no need to have any association with those documents.

 Before you store anything in MySQL, you must clearly define tables and columns, and, of course, each row in the table must have the same column.

Availability of Full Text Search

Full text search MongoDB is not supported until recently. Likewise MySQL, which is executed using a specific type of code in an array of strings. Also, it supports phrase search and word search.

MySQL supports a long type of full text search, which is implemented with the help of a special type of code. This is facilitated using natural language search (phrase search), boolean search (query search) and query search.

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