What is a Database Management System? Types, Functions, and Components.

What is a Database management system? Types, Functions, and Components.
What is a Database management system? Types, Functions, and Components.

Appsvolt is a Top Software Development Company in New York, committed to delivering.

We offer:
  • Custom Software Development
  • IT Staff Augmentation & Remote Developers
  • Project Management & Software Product Development
  • Technology Consulting
Call: +1 (917) 740-7340
What is a Database Management System? Types, Functions, and Components.

A database is a collection of structured information or data that is often saved electronically on a computer system. The information in a database is organized for easy access, administration, and modification. Typically, computer databases store aggregations of records or files that include information such as sales transactions, customer data, financials, and product details. Facebook, Instagram, and every other social media site have to store, manage, and give data on users, their friends, member activities, messages, ads, and more. We can present an infinite number of instances of database usage. The database is not a new concept, but it has evolved through time to become the sophisticated, large-scale data storage system that we know today.

What is a Database management system? Types, Functions, and Components.

The first systems used to store and edit data were navigational databases, such as the hierarchical database (which depended on a tree-like architecture and permitted only one-to-many interactions) and the network database (a more flexible model that permitted many associations). Although these early systems were basic, they were restrictive. Relational databases gained popularity in the 1980s, followed by object-oriented databases in the 1990s. NoSQL databases emerged more recently in reaction to the expansion of the internet and the demand for better speed and processing of unstructured data. Nowadays, cloud databases and self-driving databases are redefining the collection, storage, management, and utilization of data.

Types of Database Management

There are several database types. They may be categorized according to the various content types: bibliographic, full-text, numerical, and visual. In computing, databases are usually categorized according to the organizational strategy they use.

Types of Database management system - appsvolt

Hierarchical Databases

A hierarchical database follows the process of data being categorized in ranks or levels, with data being categorized based on a common point of connection. As a result, two data entities will be ranked lower, while the commonality will be ranked higher. This form of DBMS stores data via a parent-child connection. The Windows registry in Windows XP is an example of a hierarchical database.

Network Databases

This type of database management system offers many-to-many relationships. A network database is a hierarchical database with significant modifications. Network databases are more capable of describing bidirectional relationships than traditional databases. Additionally, conceptual simplicity encourages the use of a less complex database management language.

Object-oriented Databases

An object-oriented database is capable of storing all types of data. These databases store data in the form of objects, similar to object-oriented programming. They prioritize the organization of objects over actions and data over logic. For example, an image data record would be a data object as opposed to a string value.

Relational Databases

A relational database organizes its data as a collection of tables with columns and rows. Relational database technology offers the most efficient and versatile method for accessing structured data. Every item of information in this database has a link to every other item of information. This is because each database data value has a unique identifier in the form of a record. Relational Database examples include the MySQL, Oracle, and Microsoft SQL Server databases.

NoSQL Databases

NoSQL, or nonrelational database, enables the storage and processing of unstructured and semi structured data. A NoSQL database has design simplicity, horizontal scalability to clusters of servers, and better availability control. They can solve performance issues with big data more effectively than relational databases. They are also adept at processing massive unstructured data volumes and data on cloud-based virtual servers. NoSQL databases gained popularity as the prevalence and complexity of online applications increased. MongoDB is a document-based NoSQL database.

Cloud Databases

A cloud database is a database that has been developed or optimized for a virtualized environment. It gives users access to the database via a variety of cloud computing services (SaaS, PaaS, IaaS, etc.). In a cloud database, users are charged according to the amount of storage and bandwidth they consume. In addition, they achieve scalability on demand and high availability. AWS, Microsoft Azure, and Google Cloud are the best examples of Cloud Databases.

Functions of a Database Management

DBMS conducts a number of crucial operations that ensure the integrity and consistency of the database’s data. The most essential Database Management System functionalities include

Data Dictionary Management

One of the most important functions of a database management system is Data Dictionary Management. The DBMS keeps the definitions of data elements and their relationships (metadata) in a data dictionary. The DBMS uses the data dictionary to search for the needed data component structures and connections, relieving you of the need to manually code such complicated relationships in each program. DBMS offers data abstraction and eliminates the data’s dependence on the system.

Data Storage Management

Creating a database for complicated data and managing the data is one of the most significant responsibilities of a DBMS. It provides comfort to the user by structuring difficult data sets so that they may be accessed and manipulated with ease. Emerging database management systems not only provide data storage, but also store and manage metadata (data about data), such as data procedural rules, validation rules, etc. Data storage management is also crucial for optimizing database performance. Consequently, the administration of data storage is another essential function of Database Management System.

Security Management

Database Management Systems are also responsible for security. Using a variety of security methods, database systems provide a high level of security to protect the data and preserve the data’s privacy. The security rules state which users may access the database, which data items each user can access, and which data activities (read, add, delete, or edit) each user can execute.

Data Transformation and Presentation

The DBMS transforms input data into the necessary data structures. The DBMS saves the data according to the specified data structure. In other words, the DBMS formats the physically obtained data in accordance with the user’s logical expectations. For example, a user in England might anticipate entering the date 10/01/2023 as “10/01/2023 (DD/MM/YYYY).” In comparison, the same date would be recorded as “01/10/2023 (MM/DD/YYYY)” in the United States. Regardless of the data display type, the DBMS must maintain each country’s date in the correct format.

Multi-user Access Control

Multi-User Access Control is an additional functionality offered by contemporary database systems. The DBMS employs complex algorithms to ensure that several users can access the database simultaneously without affecting the database’s integrity. It is extremely useful for organizations with more than one database engineer working simultaneously.

Backup and Recovery Management

The database system has backup and recovery management capabilities to safeguard the data and guarantee its integrity. DBMS systems provide the DBA with specialized utilities for performing normal and ad hoc backup and restoration processes. Recovery management is concerned with the recovery of a database following a failure, such as a broken sector on the disk or a power outage.

Data Integrity Management

Database management systems provide data integrity by enhancing data consistency and decreasing data redundancy. The data dictionary is a database system function that stores data associations in order to maintain data integrity. The data relationships maintained in the data dictionary are utilized to guarantee data integrity. An important DBMS capability in transaction-oriented database systems is ensuring data integrity.

Database Access Languages and Application Programming Interfaces

Modern DBMSs accept queries from end users through a variety of network environments. For instance, the DBMS may provide access to the database through the Internet using Web browsers such as Mozilla Firefox or Microsoft Internet Explorer.

Database Communication Interface

Database management systems provide data integrity by enhancing data consistency and decreasing data redundancy. The data dictionary is a database system function that stores data associations in order to maintain data integrity. The data relationships maintained in the data dictionary are utilized to guarantee data integrity. An important DBMS capability in transaction-oriented database systems is ensuring data integrity.

Components of Database Management System

The DBMS is comprised of several accessible components. Each component of the DBMS performs an important function. A database environment is a group of components that controls the usage of data, data administration, and a group of data. The first step in deploying an efficient DBMS is to understand the DBMS’s numerous components and how they function and relate to one another. These components include people, the technique of managing the database, data, hardware, software, etc. Below, we will describe the five most important database concepts.

Components of Database Management System


Hardware refers to the physical and electrical components, such as computers and hard drives, that provide the link between computers and actual systems. The most obvious component of an information system is its hardware, which consists of computers, scanners, and printers used to take data, convert it, and give it to the user as output.


Software is a collection of programs that instruct the computer on how to perform its functions. The database software has the ability to recognize the database access language and then convert these languages to real database instructions and then run the database. MySQL, Oracle, SQL Server, and FoxPro are examples of DBMS software.


Procedures are the guidelines and commands that control the design and utilization of a database system. Procedures are used to ensure that there is an orderly method for monitoring and auditing both the data that enters the database and the information generated by that data.


The term “data” refers to any unprocessed fact stored in a database. The database is capable of storing any type of data, including structural, non-structural, and logical data. When a user puts data in a database, certain data, such as the amount of the data, the name of the data, and other user-specific data, are saved within the database. These data are called “metadata.”

Database Access Language

Database Access Language is a basic language that enables users to create requests to conduct the needed actions on the stored database data. One may create a set of relevant instructions in the database access language and send them to the DBMS, which then processes and produces the data and shows a set of user-readable results.

A DBMS enables end users to create, read, modify, and remove data from a database. The DBMS acts as an interface between the database and end users or application programs to ensure that data is consistently structured and easily accessible. Data management has a significant impact on a business’s performance. And one of the most fundamental duties of data management is the efficient administration of its database. Contact us for your Database Management queries.

Ajayendra Raghuvanshi

Database Engineer - having good hands on SQL Server and Oracle, .NET Framework and ASP.NET expert

Schedule A Call

Schedule A Call_Appsvolt