In the modern day, AI and IoT devices have completely taken over the world by storm.
There are simply no manual tasks that cannot be performed by AI and computer technology. One such efficient technology that we are abundantly using in this era is the database management system.
Unlike the traditional forms of storing data i.e in piles of papers and notebooks, the database management systems allow users to create and store data in a systematic order within computer programs that can easily be assessed later.
Moreover, there are different types of DBMS that are available to users such as network, hierarchical, relational and object oriented databases that are highly efficient for storing data in the form of tables, graphs and objects
In this blog, we intend to share more information about the different types of database management systems and, we will also cite examples of their real-time uses along the way!
What do you mean by Database Management?
The database management system also commonly referred to as DBMS in programming is a computerised system designed for management and storing of data.
People who use database management systems can perform various forms of operations within the database such as manipulation and management of the database itself.
It is more like keeping a tab of all the data and storing them in a synchronised order so that they are easier to locate at the time of requirement
With that said, you can use different types of DBMS. These are namely the inverted, network, hierarchic and the relational databases. These databases are used by both the personal and the mainframe computer systems.
Did you know that a majority of the mainframe systems and websites tend to lean towards the hierarchical database?
This is because the hierarchical form of database management system is highly efficient in taking care of the several tiers of components and subcomponents in a progra
Does this intrigue you to learn more about the perks of the different types of DBMS? In our next section, we have shared the advantages of using a database management system.
What are the perks of Database Management?
From security benefits to data integration, we can list more than a handful of advantages of using the database management systems.
- Efficient data security
By using the database management systems, the users are now able to share data seamlessly at a much faster pace.
The end users of a DBMS are the retailers or the salespeople who have to keep a tab of their customer transactions. With database management systems, they can easily track their sales cycle and sales prospect.
2. Efficient data integration
With optimised data integration, the retailers can now check the progress of different segments of their across multiple sources.
This helps them in keeping a tab of their customer flow and remove duplicate data since they are now easier to detect in a database management system.
3. Share reliable data
Manipulating huge amounts of data can easily lead to data inconsistency. What this essentially means is that your computer program might send one client's email to another phone number.
In order to efficiently escape this problem, you can use data quality tools of DBMS and share your data reliably over platforms.
While those were some of the advantages of using DBMS, we will now look into different types of DBMS that are available to the users.
What are the types of Database Management
Database Management is essentially a collection of programs that allows management of multiple chains or entities of data at the same time.
You can update, retrieve, manage and create data within the DBMS system and store that information more efficiently than the traditional data management systems
With that said, there are four different forms of database management systems that are available to users based on their requirements.
Check them out :
- Relational database
This is one of the regular forms of database management systems where the data is tabulated in rows and columns. People generally prefer to use the abbreviation RDBMS to refer to the relational database management system.
The relational database management system is one of the most popular models that is used by the industries to keep a tab of large amounts of data. This model is solely based on SQL.
Within the relational database, you will find that every table contains a specific key field that is used as an identifier for each of the records.
You can use the relational database in the mainframe systems, workstations and the personal computers as well.
- Object-Oriented database
As the name suggests, the object oriented database system is used for representing data as objects within a computer system.
This form of database management is widely used for object oriented programming. The principles of the object oriented database are a combination of the relational database and object orientation
You can use the properties of polymorphism, inheritance, and encapsulation for forming the object oriented database.
One of the perks of using this database system is that it is easier to maintain and requires lesser amounts of coding.
- Hierarchical databas
The hierarchical form of database management system is used for representing the one-to-many relationship between data.
You will find that the data in a hierarchical database is represented in the form of a tree-like structure which is quite similar to the structure of folders in a computer system.
Windows registry and IBMs are two of the most common examples of the mainframe platforms where you can find representation of a hierarchical database. This database is ideal for tracking the abstraction in DBMS.
- Network database
Lastly, we have the network database management system. Here, unlike the hierarchical database system, the data forms either a one to one or a many-to-many relationship between data.
This form of data structure is generally represented in a graph and it holds multiple tiers or entities within a single record or entry.
For instance, the representation of various departments and teachers in a college can be displayed in a network database.
Final Thoughts
In order to categorise data into different structures, it is best to identify the use of the data for the future.
