MySQL is currently the most popular database management system software used for managing the relational database.
MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
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Triggered when you add a new row.
Triggered when new rows are returned from a custom query that you provide. Advanced Users Only
Triggered when you add a new table.
Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggered when document rows are returned from a custom query that you provide. Advanced Users Only
Triggers when you add a new field to a collection.
Adds a new row.
Delete a row.
Updates an existing row.
Create a new document in a collection of your choice.
MySQL is a popular open-source relational database management system (RDBMS. It’s a multi-user, multi-threaded SQL database. It stores data in tables, which are organized into database. This software is written in C & C++ and is released under the GPL version 2. MySQL was initially developed by Michael Widenius and David Axmark in Sweden. It started as a fork of an earlier product named “Ingres”, but it soon diverged from Ingres and became much more than a mere copy. The latest version MySQL 5.7 is released on March 31, 2016.
MongoDB is a free and open-source cross-platform document-oriented database program. It uses JSON-like documents with dynamic schemas, operates with dynamic typing, stores data in binary JSON format, and supports indexing for high-performance search queries. MongoDB is developed and marketed by MongoDB Inc. The latest version MongoDB 3.4 is released on November 8, 2017.
In this section, I will discuss about Integration of MySQL and MongoDB. I will define the integration of MySQL and MongoDB by different definitions and I will also discuss the pros and cons of integration of MySQL and MongoDB.
Integration of MySQL and MongoDB can be defined as a combination of MySQL and MongoDB that are combined to work together as one single entity. In this approach, MySQL database acts as a relational database while MongoDB acts as NoSQL based document database. It means that MongoDB stores all the data in documents format whereas MySQL stores the data in relational format. This integrated environment allows you to include both RDBMS features like relational databases along with NoSQL features like document databases in your application.
Integration of MySQL and MongoDB can be defined as the process where MySQL database is used as an RDBMS while MongoDB is used as NoSQL database. In this approach, all the data is stored in MySQL database while metadata is stored in MongoDB database. This approach gives you best of both worlds because you can store vast amounts of data in MySQL database while still getting the benefit from the ease of managing the metadata using MongoDB database.
The advantages of integration of MySQL and MongoDB are:
The cons of integration of MySQL and MongoDB are:
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