The Briefly Explained Comparison Between MongoDB & MySQL

It’s comparison time people, today we are about to draw a cunning difference between the MongoDB and MySQL. That’s because lately, MySQL has become the most favorite tool of global relational database organizations. But, with the increase in the databases over the years, the need for non-relational databases such as MongoDB has emerged.

These both databases tools are completely contrasting and unique, but the real question is which one is better. It is a million dollar question which can be answered by comparing MongoDB and MySQL only. The dynamic MySQL vs MongoDB comparison has been narrated by Hitesh Choudhary in his latest YouTube video. If you haven’t yet checked out the video, then watch right now while reading this brief comparison post.

Users of Databases

MySQL has been operating since 1995 and has been expanding dynamically. The popular organizations who are using MySQL – Pinterest, Twitter, Netflix, Spotify, US Navy, NASA, PayPal, etc., Whereas as MongoDB is the new kid in the block which was launched in 2009. But, being younger than MySQL doesn’t make it less popular as numerous organizations are using MongoDB – Twitter, Zendesk, Sony, Hootsuite, Citrix, etc.,

Structure

The data in tabular form is stored in MySQL so that it can be easily accessed. Schemas are used to define the database structure in it. This enables all rows within the table to have a similar structure with the values represented by specific data type. However, in MongoDB, data is stored in JSON like documents. It can store data together to improve query speed. MongoDB doesn’t have a schema which allows you to create documents without the hassle of defining the document structure first. The documents can be easily modified by inserting or eliminating any fields.

Required Indexes

Both MongoDB and MySQL use indexes to help them out in finding data swiftly. However, in MySQL, if an index isn’t properly defined, the database engine has to scan the entire content of the table to find relevant rows. On the other side, if the index isn’t located in MongoDB, then every document present in the collection is scanned to select the document which can offer the matched query to the statement.

Queries

To select a record from the customer table following queries will be used;

MySQL: SELECT * FROM customer

MongoDB: db.customer.find()

To add a record to the customers table following queries are used;

MySQL: INSERT INTO customer (cust_id, branch, status) VALUES (‘appl01’, ‘main’, ‘A’)

MongoDB: db.customer.insert({ cust_id: ‘appl01’, branch: ‘main’, status: ‘A’ })

To update records in the customers table these queries are respectively used;

MySQL: UPDATE customer SET branch = ‘main’ WHERE custage > 2

MongoDB: db.customer.update( { custage: { $gt: 2 } }, { $set: { branch: ‘main’ } }, { multi: true } )

Deployment

MySQL is written in C and C++. It has been following binary libraries systems – Microsoft, Windows, Linux, OS X, etc., Whereas MongoDB, is designed in C++, C, and JavaScript. The binaries for these systems are – Linux, OS X, Windows, etc.,

Clustering

In MySQL master-slave replication and Master, replication support is available. Replication allowed you to replicate from several masters in parallel. Built-in replication, sharding, and auto elections are supported by MongoDB. With the help of elections, you can fix the secondary database to automatically take over the failed primary database. The sharding helps in horizontal scaling which is highly hard to implement in MySQL.

The list of comparison between the MongoDB and MySQL can go on and on. They both are very popular and versatile tools for databases so if you haven’t yet tried them, then you are missing out big time.

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