MongoDB Vs MySQL
MongoDB Vs MySQL
What is MongoDB?
Basically, MongoDB is an open-source cross-platform leading NoSQL database management tool. If you want to query and indexing data then MongoDB has the scalability and flexibility to perform those tasks. Data is stored as a flexible, JSON like a document in MongoDB. That’s why data can be changed over and over as the field varies from document to document. Because it is a NoSQL tool, it doesn’t use the rows and columns which usually uses in the relational database management system.
What is MySQL?
MySQL is an open-source relational database management system (RDBMS). It is also an SQL supported open-source software. It creates a structure to collect data either it would be for your daily basis works or to handle vast informative data for an organization. MySQL Server is responsible for adding, accessing and processing data from the computer database. Because it uses SQL which is the popular language for those entire tasks makes MySQL the most popular among open source databases in the world.
MySQL is used by many web applications that grabs information from a database and inputs that information each loading time of the page. That’s why Drupal, Joomla, phpBB and WordPress uses MySQL. Facebook, Twiter Flicker Youtube like popular websites also use MySQL.
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Difference Between MongoDB and MySQL
|MongoDB is an open source cross-platform leading NoSQL database management Tool||MySQL is an open-source relational database management system (RDBMS).|
|MongoDB is fully document-oriented database management system(DBMS).||MySQL platform is based on the relational database management system (RDBMS).|
|MongoDB creates JSON-like structured documents to store data. You don’t need to specify the structure of the document and can easily change the structure by adding or deleting fields.||MySQL create the table by using SQL (structured query language) to store its data. You have to maintain that all the same structured rows are in the table with same values and represent an exact data type.|
|MongoDB maintains the Collection of Document and Field process for structuring its data.||MySQL creates a table, row and column for its data structure.|
|In MongoDB, the schema design is restriction free. You can input some documents within the collection from the server, and don’t have any necessity to check the relation between them.||In MySQL, if you want to insert a document have to check that document matches with every row in the table of the same column.|
|In MongoDB, if there is no index found then you have to scan all collected documents to select the exact document matching with the query statement.||If an index is not found in MySQL database engine have to scan the whole table to find the similar rows.|
|MongoDB performs better than MySQL when it comes to handling large unstructured data. Because it gives an opportunity to the user for creating a query in a different manner which is suitable for the workload. That’s why it is faster than MySQL also.||MySQL is much slower than MongoDB when it comes to large unstructured database handling, and also slower than MongoDB.|
|Its design is much more secure than MySQL and less risk of attack.||MySQL is less secure than MongoDB because it has a risk of SQL injection attack.|
|MongoDB is compatible with Linux, OSX, Solaris and Windows systems.||MySQL is compatible with a vast system platforms like Microsoft Windows, OSX, Linux, BSDi, AIX, FreeBSD, HP-UX, IRIX, NetBSD and more.|
|It supports built-in replication, auto election, and shading. If the primary database fails you can provide a secondary database at its place by using the auto election process, and shading is responsible for horizontal scaling.||My SQL is master-slave replication and master-master replication supported. Its scaling procedure is vertical because it provides you a parallel replication from several masters by Multi-source replication.|
|MySQL AB company is the founder of MySQL in 1995 and now maintained by Oracle Corporation.||MongoDB Inc. Is the founder of MongoDB on 2007|
|MySQL offers an Oracle Lifetime Support.||Mongo offers Enterprise Grade Support|