MongoDB Vs MySQL: Which One Is A Better Database In 2020? -

MongoDB Vs MySQL: Which One Is A Better Database In 2020? -

Confused between MongoDB vs MySQL? Don't know which one to go for? Read this detailed article to understand more about both the databases.

For years, relational databases were leading the market and the option was very apparent at that time, that is, either MySQL, Oracle or MS SQL. They have served as the basis for thousands of enterprise applications, though digital apps need more versatility and usability. Non-relational databases such as MongoDB has proven to fulfill the current requirements while replacing the current relational setting.

We are going to discuss MongoDB vs MySQL in this article. For organizations across the world that need a relational database, MySQL is becoming an affordable choice. Non-relational databases such as MongoDB, however, have emerged to meet the modern needs of our fluid data as the range and amount of data has risen significantly.

Let us start by learning about each one of the databases individually before diving into the comparison.

What is MongoDB?

MongoDB is a renowned document-oriented open-source database created by 10gen, currently known as MongoDB Inc. Here, the documents are generated and kept in BSON files, Binary JSON format, making it support all JS types of data.

Apart from that, MongoDB is also used for projects that use Node.js. In addition, JSON makes the use of a human-readable format to transfer data between servers and web apps. In terms of storage capacity and speed, it is also a good choice, as it provides better performance and effectiveness.

One of the top advantages provided by MongoDB is the use of dynamic schemas, such as fields or value types, that remove the need to pre-define the structure. This model facilitates the portrayal of hierarchical relationships, array storage, and the power to alter the structure of records by simply adding or removing fields. This NoSQL solution for improved scalability and high reliability deals with embedding, auto-sharding, and onboard replication.

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