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MongoDB Vs MySQL

MongoDB Vs MySQL

April 20th, 2019

MongoDB Vs MySQL

MySQL represents a plan or theory in form of a model or an outline to describe exact nature of the database structure. It requires a table constructed with similar rows and same values to represent a specific data type. MongoDB is capable of storing JSON-like documents with various structures.

Why Mongo DB?

MongoDB is basically a NoSQL database. It is very simple, object-oriented, scale formed dynamic database. It is created on the basis of NoSQL document store model. MongoDB language provides data store a high performance, automatic scaling and very much available for user. Its installation and implementation process are very simple. MongoDB stores documents as JSON or BSON objects. It supports Windows, Linux, Mac OSX, and Solaris.

Features of MongoDB:

1. MongoDB has a process called Map Reduce. In this process large datasets are filtered and processed to summarize results.
2. It has a binary JSON storage format. BSON gives the format an id with binary numbers. BSON gives MongoDB more efficiency in speed and size.
3. Scaling is a major problem for most of web or mobile applications. MongoDB has sharing  features  to overcome this problem. By this process scaled data is distributed through multiple machines.
4. MongoDB is written in C++.  Because its scheme-less database facility it is individual from other traditional database. For this facility, sterilize an object to JSON and send it to MongoDB if user want to save an object.
5. MongoDB have fixed size of collection in it which is called capped collection. It maintains the database order .
6. MongoDB can create index which improves search performance. By indexing documents either primary or secondary database engine become more efficient to resolve queries.
7. MongoDB is also used for file storing. Grid File System is the main performer in this function.
8. Data distributing process across different machines is called Replication. It is like a master slave act. In this process there is only one primary node and multiple secondary nodes. Primary node  performs read and write process and secondary nodes automatically copies a read only data from primary node for backup.
9. MongoDB Management Service is very much powerful of database or machine and can make data backup when necessary. User can easily identify any issues because of its custom alert features
MongoDB is basically used to scatter data loads into different machines and make a proper backup of stored data. User can easily run entire system even if a node or machine has crashed or stopped working, because the other nodes will help user to continue the process.


MySQL is basically an open source Relational Database Manage System (RDBMS). It is freely available and uses Structure Query Language (SQL). For  a database managing content, adding accessing  MySQL is most preferred language.

Features of MySQL:

1. MY SQL has a secure money transaction capability.  Its transaction process works step by step thats why if any of the operation fails in any stage transaction will automatically reverted from the beginning. User will get a more secure and worry free online transaction process.
2. Because of its flexibility MySQL used by management for deeply embedded application to make it easy to understand. In huge data centers , which operates with massive amounts of vital information, MySQL system is very useful. It meets the proper criteria of eCommerce business by gathering all needed data into a small platform. MySQL is a platform flexible system. Enterprises can use MySQL to create additional features and functions which are needed for database servers of them.
3. MySQL is consistent available. After deployment of MySQL it will be always available for access by the enterprises. To make an uninterrupted access MySQL enriched with variety of cluster servers. MySQL data server can provide data to copy automatically by one or more MySQL database servers. This process is called master- slave replication configuration. While running an eCommerce website or a high speed processor, MySQL provides maximum numbers of queries and transactions ensuring optimum speed , unique memory caches and full text indexes.
4. My SQL provides a secure data protection features for business enterprises. Its data encryption is very powerful which protects unauthorized access and SSH and SSL support make connection safe. Mechanism of MySQL is very powerful which even restricts user without proper identification. MySQL has data recovery feature. MySQL is very quick, in between 15 minutes it will complete from software download to installation. Auto restart, space expansion and also change configurations on users preference are its self –management capabilities. For all those features MySQL is very popular for app developing and launching.

Comparison of MongoDB Vs MySQL


MongoDB can store various types of structured data.

MySQL  generally  stores its data in a table format in which all the rows are same constructed to define a particular data type.

Data is stored in JSON like documents in MongoDB.

To access data MySQL uses structured query language (SQL).

C ,C++ and Java Script are basic languages of MongoDB.

C and C++ is basic language of MySQL.

MongoDB only runs in those following systems Linux , OS X, Solaris, Windows.

Most of the systems can run MySQL like Microsoft Windows ,Linux, OSX, AIX, BSDi, Free BSD,HP-UX , IRIX, Net BSd ,and more

MongoDB only supports master –slave replication.

MySQL supports master -slave replication and master –master replication.

MongoDB is maintained by MongoDB inc.

MySQL was founded by MYSQL AB and currently maintained by Oracle Corporation.

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