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  • Types of Database Management Systems
  • Some of the Popular DBMS Softwares
  • Applications of Database

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  1. Database

Database Management Systems

Last updated 1 year ago

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Types of Database Management Systems

The main Four Types of Database Management Systems are:

  • Hierarchical database

  • Network database

  • Relational database

  • Object-Oriented database

In a Hierarchical database model, data is arranged in a hierarchical or tree-like structure, and stored either top-down or bottom-up format. The organization of data is based on a parent-child relationship, where parents can have multiple children, while children can have only one parent.

In the network model, each child can have multiple parents. This model is particularly useful for representing complex relationships, such as the many-to-many relationship between orders and parts. The entities are organized in a graph structure, enabling access through multiple paths. This flexibility allows for efficient navigation and retrieval of data by establishing various connections between entities.

The Relational DBMS is extensively utilized due to its user-friendly nature, making it one of the most popular database management models. It is built on the concept of organizing data into normalized tables with rows and columns. In the Relational model, data is stored in structured formats and can be efficiently manipulated using SQL (Structured Query Language)

The Object-oriented Model stores data in the form of objects. The structure is defined as classes that encapsulate data within them. This model is a fundamental component of DBMS, where a database is seen as a collection of objects that store both data member values and associated operations. Such databases use an object-oriented programming language for development.

RDBMS is the basis for Structured Query Language, and for all modern database systems like MS SQL Server, IBM DB2, Oracle, MySQL, Postgres, etc.

NoSQL (Not Only SQL) or Non-Relational databases

A popular alternative to relational databases, take a variety of forms and allow you to store and manipulate large amounts of unstructured and semi-structured data. Examples include key-value stores, document stores and graph databases.

Types of NoSQL Databases:

  • Column-oriented Graph

  • Graphs based

  • Document-oriented

  • Key-value Pair Based

Relational Database
NoSQL

It is used to handle data coming in low velocity.

It is used to handle data coming in high velocity.

It gives only read scalability.

It gives both read and write scalability.

It manages structured data.

It manages all type of data.

Data arrives from one or few locations.

Data arrives from many locations.

It supports complex transactions.

It supports simple transactions.

It has single point of failure.

No single point of failure.

It handles data in less volume.

It handles data in high volume.

Transactions written in one location.

Transactions written in many locations.

Support ACID properties compliance

Doesn’t support ACID properties

Its difficult to make changes in database once it is defined

Enables easy and frequent changes to database

Schema is mandatory to store the data

Schema design is not required

Deployed in vertical fashion.

Deployed in Horizontal fashion.

Some of the Popular DBMS Softwares

Proprietary

Open Source

Applications of Database

Field

Application

Airline

Flights, reservations, schedules, tickets, etc.

Banking

Clients, account activities, loans, balances etc.

Library

Book information, borrower information, issue date, etc.

Education

Student information, courses, departments, grades, etc.

Telecommunication

Call records, usage, bills, balances etc.

Social Media

User data, demographics, preferences, etc.

E-Commerce

Customer data, purchases, invoices, etc.

Human Resources

Employee information, salary, payroll, deductions, etc.

Manufacturing

Supplier information, product details, quantities, etc.

(free plan option)

(Enterprise plan available)

(NoSQL / document-oriented)

(NoSQL)

NoSQL databases
Microsoft Access
Microsoft SQL Server
Oracle
IBM DB2
dBASE
MySQL
PostgreSQL
SQLite
MariaDB
Altibase
LibreOffice Base
Cubrid
MongoDB
Cassandra