MongoDB Vs MySQL: Which Database Suits Your Business?

As the data is continuing to be more diversified, multifaceted, and voluminous, non-relational databases like MongoDB are gaining popularity. This new class of non-relational database has brought with itself a stiff competition between the two – a newbie vs a veteran: MongoDB vs MySQL.  Whether you are considering database technology for a software solution, the choice is limited to two main databases. Companies needing a robust relational database at a cheap cost mostly prefer the MySQL database. Usually, the entrepreneurs are aware of the business part, what they miss to understand is the technical viability and proper implementation of the concepts technically.

On the other side, we should not forget about the competition in the mobile app industry. Based on the requirements of your organization, you also have to carefully choose a perfect database model for the best results. Here in this blog, We have compared two database management systems that will help you have a better concept about their applications.

MongoDB is an open-source database that was developed in 2007. Then it came to be known as MongoDB Inc. It is a popular SQL database that is currently used by many organizations. MongoDB creates and stores data in JSON -like documents that may have distinct structures. To improve efficiency and query speed, the database can store all the related data together that can be easily accessed using MongoDB query language. Additionally, MongoDB is schema-free. Besides, the JSON format allows for the seamless transfer of data between web apps and servers with the use of the human-readable format.

MongoDB vs. MySQL: Identifying the Best Fit

 

When to use MySQL?

• If you’re just starting your business and in which case, the database won’t scale that much.
• If you have a data structure that is not going to change over the period.
• If you have a fixed schema.
• If you’re looking for top-notch performance ability in a lower budget.
• If you require a high transaction rate.
• If data security is your top priority.
• In case you’re simply beginning your business and in which case, the database won’t scale that much.
• If you have an information structure that won’t change over the period.
• If you have a fixed diagram.
• In case you’re searching for first-class execution capacity in a lower spending plan.
• If you require a high exchange rate.
• If information security is your top need.

 

When to use MongoDB?

For applications that use and require real-time analytics, applications based on IoT, and content management, MongoDB appears to be a good choice. At the point, when you need high information alongside programmed, fast, and moment information recuperation. In case, you need to bring down the expense of pattern movement.

One of the factor, that your administration is for the most part cloud-based, MongoDB would come convenient for your business because of its local scale-out design. Another factor that design is controlled by shading with the level scaling and offered through distributed computing. 

 

Advantages-

1.  No need to define the schema during the design phase
2.  Use documents to store unstructured data that is easier to update and retrieve.
3.  The database schema is unstable but the database is growing
4.  No need for data administrators