In the virtual world of science and technology, data has been one of the major concerns that play a significant role in computational operations. Data is any piece of information that highlights a particular thing or object.
However, when there is an enormous amount of data, then how would you find information about a particular aspect? In this case, the arrangement and storage of data will be the most effective way in data management system.
There are several databases present, based on the type of data and its functionality.
Here, we are going to visualize two major types of databases, their functional aspects and compare them to find out better one. In this regard, we are going to recite the complete understanding of database and its implementation that will lead to imparting a comparative account of two databases.
So, let’s get started!
A brief understanding of Database
Data is everything! You cannot think of a task in computing being devoid of data.
A database is like containers of data where data is collected and stored in an organized way. A well-managed database should be easily accessible, updated and one should be able to include further information.
Often referred to as datastore or databank, a database generally constitutes huge amount of “indexed digital information”. you can search, compare, change or manipulate it with significant speed and at minimal expense.
Whether you are running an organization in a specific industry like insurance, manufacturing and publishing, you need to have database solutions directed at their needs and requirements.
In a database, data or information should be organized in such a way that you can search it and retrieve it at ease, and an optimal speed using a computer.
Image Source: Rocheltenham
Imagine, if you have huge numbers of books and they are piled together. In this scenario, would you be able to fetch a particular book easily? The answer must be negative!
In the context of a database, even a small piece of information is also considered as data and is of similar importance. As the name implies, a database is the storehouse of information or data, which is arranged in such a way that in future, it will be conveniently accessible and knowledgeable for the user.
In that case, you need to arrange them in a particular order as in the case of a library and you will become able to find desired book with lesser efforts and within quick time.
The same is applicable for in the case of data in computational technology, where the amount is larger and techniques will be much more complex, requiring a lot of expertise to completely understand the process.
Now, you have understood that what database is and necessity for it. Let’s move on further and interpret which one is best suitable for you among two different databases.
Capable of running with virtually all available operating systems such as Windows, Linux and UNIX, MySQL Database can be utilized in online publishing and web application, with vast range of application.
This particular database can be defined as,
“A freely available open-source Relational Database Management System (RMDB) that uses Structured Query Language (SQL)”.
MySQL helps to store and access data across different storage engines like InnoDB, CSV, NDV etc. It also can replicate data as well as partition tables for durable and improved performance. Instead of learning new commands, you can access data with the aid of standard SQL commands.
Platforms like Windows, Linux and UNIX and many other operating systems can avail the advantages of MySQL written in C or C++. To provide improved security, MySQL implies host-based verification using access privilege and encrypted password.
Based on the “client-server model”, MySQL looks after all database commands with its core MySQL server. This server can be used as separate program in case of both the “client-server network environment” and can act as a library that can be linked into separate applications.
MySQL database administration is supported by several utility programs operated by MySQL. Through an installed MySQL client on a computer, MySQL server can receive instructions.
MySQL can relay databases to more than one location, instead of being installed in mere one computer. It was designed to handle huge volume of databases within stipulated time-frame providing users the ability to access it through different interfaces of MySQL client.
Introduced in the early 2000s, MongoDB is among the many “non-relational database technologies” which has been designed for handling huge volumes of data with greater complexity. Unlike relational databases, this database system does not use tables and rows.
MongoDB Database can be defined as,
“An open-source document-based database management tool that uses a document-oriented database model which supports different forms of data.”
Dissimilar to MySQL and other types of relational database systems, this particular database is developed based on a distributed architecture system, where monolithic and single node design is omitted.
The MongoDB query language stores related information in association with one another that results in rapid query action. As document structure varies from document to document, fields vary and documents are self-describing. This facilitates addition of new fields in the main document without mediating any of the other documents.
You can scale MongoDB across various data centers that provide top-notch scalability and accessibility, previously non-achievable with usual relational database systems. With increasing throughput and data quantity, there are none or fewer signs for downtime or modification of the application.
One of the most advantageous features of MongoDB is the application of dynamic schemas which eliminates the necessity for a predefined structure such as field and value types. Such kind of model empowers you with the ability to represent hierarchical relationships and storage of arrays. It makes you able to modify the record structure by inserting or removing fields.
MySQL vs MongoDB Database- when to use which one
Among several types of business databases, selection of the most appropriate one for your business is not always that easy. Several factors need to be considered in choosing the right one for your business.
These include type of data you are using (addresses, numeric, multimedia, etc.), desired structure and model you want to have, required querying mechanisms, and the way you want it to be stored, managed and utilized.
Budget is also one factor of greater consideration. If you’re running a small organization, database packages of small flat files will be sufficient for you. However, these simple and inexpensive databases have limitations in their capabilities.
On the contrary, for a bigger organization you’re operating, you need to consider more sophisticated databases, which can empower you to process and utilize data according to your necessity.
To understand the major question: “when to choose MySQL over MongoDB Database?”, you need to opt for following your project requirements and desired outcomes.
In case of speed comparison of MySQL and MongoDB Database, developers have suggested that the former one lacks speed and accuracy while handling large volume of information.
Therefore, for smaller companies requiring small databases and more generalized solutions, MySQL would be suitable for them. Where the MongoDB Database will be advantageous in times of cope with huge-volume and scattered data.
The following info-graphic will make you understand when to choose the one before another without you having the deep knowledge for those technical aspects:
Image Source: Simform
For full comparison of MySQL and MongoDB Database, the following link can be useful for you: https://www.geeksforgeeks.org/mongodb-vs-mysql/.
The final outcome
To select “A” before “B”, you need to consider what your project is destined for and several other factors related to your business.
On one hand, MySQL Database is very organized due to its high-end performance flexibility, improved data protection capability and convenient utilization of data. With the application of this particular database, you can resolve performance issues as well as ensure robustness and increase facilitated interaction.
On the other, if your data is unstructured and too complex to handle, MongoDB Database would be perfect solution for you. Furthermore, you will be able to handle large quantity of data stored as documents MongoDB will help you out!
Hence, in the end, neither one will be suitable for your business if you do not implement them as per your business requirements. And also, it indicates that one needs not to be better as compared to another.
There is no meaning of comparing them, as both of the MySQL Database and MongoDB Database are as much as effective in their respective niche.