Data are becoming vital in this modern world while data security is considered to be the primary criteria for every database. The databases are categorized into two according to their performance: relational database and non-relational database. For more than a decade, relational databases were the foundation of the enterprise applications, These relational databases continued to be the most popular and cost-effective solutions since the launch of MySQL.
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Being most famous among the developers, MySQL is a relational database management system (RDBMS) which is the most powerful product of Oracle Corporation as they developed, distributed and supported it. It stores data in tables like other relational database and accesses it by structured query language (SQL). Here are some of the advantages of using MySQL.
MongoDB is an open-source database developed by MongoDB, Inc. This database stores data in JSON-like documents that might vary in structure. With the help of the MongoDB query language, query related information is stored for easy and fast access. It is easy to create records without defining the structure like fields or types as MongoDB uses dynamic schemas. MongoDB is highly available and scalable.
Similarities between MySQL and MongoDB and related terminologies:
MongoDB and MySQL have many similarities and the following comparison show how they are similar and the terminologies used to represent them.
The following challenges are the scenario to choose MongoDB over MySQL
Many enterprises and even startups are switching to MongoDB as it is allowing them to develop faster applications, handle highly trafficked data types and also to manage that are more efficiently at scale. The development process is made simple when using MongoDB adds the documents map directly to the modern and object-oriented programming languages. It also removes the object-relational mapping (ORM) layer which translates the objects into the code to relational tables. Some of the major benefits of using MongoDB are