This blog explains a detailed comparison of the two most important database management systems. MongoDB and MySQL. There are a lot of database management systems to choose from. But for now, let’s focus on these two. There was a time when the obvious choices were Oracle, MySQL, or MS SQL. However, the shift in demand and the requirement for increased scalability and diversity led to the possibility of MongoDB’s emergence. The fight is now between MongoDB and MySQL. The core differences between these two database management systems are significant.
The Differences:
MySQL has become viable for companies all around the world who seek a relational database. However, as the variety and volume of data have increased recently, non-relational databases such as MongoDB have evolved to meet the new demands of our fluid data.
- Companies That Use These Databases:
These two databases enjoy widespread popularity. Many organizations use both of them.
- MySQL: It has a big user base and has been around since 1995. Businesses that use MySQL include YouTube, Pinterest, Twitter, Netflix, Spotify, NASA, Paypal, and Walmart.
- MongoDB: Even though MongoDB didn’t launch until later in 2009, it is still commonly used by Twitter, Klout, Citrix, FourSquare, T-Mobile, MuleSoft, and InVision.
- Querying Language:
MongoDB makes use of an unstructured query language. When building a query for JSON documents, you must specify a document with the properties you want the results to match. It employs a sizable number of operators that are linked to one another through JSON. When used as a database, MongoDB regards each attribute as having an implicit boolean AND.
In contrast, MySQL used the structured query language SQL to communicate with the database. Data definition language and data manipulation language make up the majority of this simple but very powerful language (DML).
- Database Structure:
MySQL: To retrieve data contained in tables, MySQL uses the structured query language (SQL). It requires that in every row and uses schema to determine database structure.
MongoDB: Unlike SQL, MongoDB stores data in documents with a variety of forms that resemble JSON. It gets access to all relevant data at once using the MongoDB query language. Using the MongoDB data model, one may specify hierarchical connections, data arrays, and other complex database structures. Due to the fact that MongoDB does not require joins to connect data, in some situations, it performs better than MySQL in terms of performance.
Security Model: MongoDB makes use of role-based access control with a certain set of privileges. Its security function also includes audits, authorization, and authentication. Developers can use Transport Layer Security (TLS) and Secure Sockets Layer (SSL) for encryption (SSL).
However, MySQL has a different security approach. It authenticates a user and provides them access to CREATE, SELECT, INSERT, UPDATE, and other related activities in some databases. It cannot, however, explain why a specific user is denied access, unlike MongoDB. At the transport layer, it makes use of SSL-encrypted connections between clients and the server.
- Databases Deployment:
MySQL: It is written in C++ and C and has binaries in the following systems such as—OS X, Linux, AIX, Microsoft Windows, FreeBSD, HP-UX, NetBSD, IRIX, and more.
MongoDB: It is written in C, C++, and JavaScript and has binaries for the following systems such as OS X, Linux, Solaris, and Windows.
- Speed and Performance:
MongoDB outperforms MySQL when it comes to having the ability to manage significant amounts of unstructured data. The former also gives users the option to query in a different manner that is more workload-sensitive.
Developers claim that because MySQL is unable to handle enormous and unstructured amounts of data, it performs slower than MongoDB when handling massive databases. Developers claim that while managing large databases, MySQL is considerably slower than MongoDB. Large and unstructured data volumes are too much for it to handle.
Which one to choose?
Now, let’s come to our main point of discussion. Which database, MongoDB or MySQL, is better? Actually, there are a number of things to take into account for this, like the goals of your project.
On the one hand, MySQL is well known for its quick response times, reliable data security, and ease of data management. With adequate data indexing, it can assist you with problems with performance, interaction, and resilience. However, this is where it falls short. if your data is unstructured and challenging to handle. You should pick MongoDB if you find it tough to define your schema in advance.
If you need to manage a sizable amount of data and want to store it as documents, MongoDB can also assist you. In this instance, one is not always better than the other.
Wrapping up: MySQL and MongoDB are both here to stay. Developers and engineers love these two database management system because it is free and simple to use. If you want to learn more about MySQL or MongoDB, we recommend learning from youtube. Because youtube is free and it has all the knowledge you need. The only issue with YouTube is that it is not organized as an online course. It really helps when each video is arranged like chapters in a book. You can use Career Ninja‘s Learn Tube to do just that. The platform arranges Youtube videos into a course-like format. If you want to learn “MySQL or MongoDB tutorial”, search that term on LearnTube and it will show you a bunch of videos like an online course. As a beginner, you’ll click through the videos from the first to the last, as if you were taking an online course tailored specifically for you.
