MongoDB VS MySQL: Which Database Best suits your online business?
There are numerous DBMS presents in the market that can be utilized to satisfy your business requirements. But sometimes, choosing the most appropriate database can become a daunting task.
When it comes to choosing a database, one of the biggest decisions is picking a relational (SQL) or non-relational (No SQL) data structure. Relational databases held the lead for quite a time. Choices were quite obvious: MySQL, Oracle or MS SQL, to mention a few. But modern apps today require more scalability and diversity.
MongoDB a non-relational DBMS has come to rise basically due to its ability to handle a large set of data. Every selection has got its pros and cons but your choice will mainly be determined by your application needs since both serve in different niches.
Now let’s talk about MySQL and Mongo Database in detail and this article will help you to understand which database is better suits your business requirements.
What is MySQL?
MySQL is a full-featured open-source relational database management system (RDBMS) that was originally built by MySQL AB and currently owned by Oracle Corporation.
It stores data in tables and maintains a relationship between the data. It uses the most powerful query language called Structured Query Language for database access and has a very powerful syntax to create simple and complex queries to retrieve and structured data.
MySQL is compatible with almost all operating systems, namely Windows, Linux, UNIX, Apple, FreeBSD and many others.
What is MongoDB?
MongoDB is an open source, non-relational document-oriented database. In MongoDB, documents are created and stored in BSON files, Binary JSON (JavaScript Object Notation) format, so all JS types of data are supported. That being the case, MongoDB is often applied for Node.js projects.
What is Common?
- Both MySQL and MongoDB are open source databases.
- The two databases render service on all major cloud platforms.
- They also have a rich query language to access the data.
- They are built on common terminologies and concepts.
MySQL VS Mongo: Comparison
| Sl.No | Factors | MySQL | MongoDB |
|---|---|---|---|
| 1 | Written In | C,C++ | C,C++, Javascript |
| 2 | Type | RDBMS | Document-oriented |
| 3 | Data Storage and Structure | Data is stored in tables. A pre-defined schema based on the requirement. |
Data is stored as documents. No structure for the documents. |
| 4 | Developer productivity | Slow development | 4 to 5 times faster than MySQL |
| 5 | Performance and speed | Slow Performance | Fast Performance |
| 6 | Security Model | Privilege-based security model | Role-based access control |
Which database to choose?
MongoDB scores over MySQL because it is ‘magically’ faster and for its unmatched ability to handle large volumes of unstructured data. If your data is complex and unstructured, or if you cannot define your schema in advance, you can opt for MongoDB. Also, if you are looking to store large amounts of data, MongoDB should be your top choice.
MySQL is well-recognized for its high performance, flexibility, reliable data protection, high availability, and management ease. If you are looking for a structured database, you can opt MySQL.
The nature of the applications and the data sets will determine the selection of the Best Database System for your Business and Techrish will help the users to determine his best choice based on their business requirements.
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