What are the Key Types of Database Management Systems?

Oct 25, 2018

Database Management System

Today, data is the lifeblood of an organization, and a database management system is the heart of modern analytical and operational business systems. Companies use database management systems to store, manage, secure, and serve the data to applications and users. Database management tools use a standard method and run queries, with some of them designed for the oversight and proper control of databases. This blog drills down some of the key types of database management systems and the key differences between each.

Types of Database Management Systems

Hierarchical Database

 In a hierarchical database management system, the relationships among data in the database are established in such a way that one data item is present as the subordinate of another one or a subunit. This system is ideal for storing data with items describing attributes, features, and so on. One of the key advantages of relying on a hierarchical database is that it can be accessed and updated rapidly. This is so because here the model structure is like a tree and the relationships between records are defined in advance. On the flip side, a major drawback of this system is that adding a new field or record requires the entire database to be redefined.

Contact our analytics experts to learn more about Quantzig’s database management solutions and how you can leverage them for your business.

Network Database

A network database management system is primarily used on large digital computers. Here more connections can be made between different types of data. Network databases are similar to hierarchical databases as they also have a hierarchical structure. However, unlike a hierarchical database, in a network database, the relationships among data in the database are of type many-to-many. Hence, the structure of a network database is extremely complicated due to the presence of these many-to-many relationships in which one record can be used as a key to the entire database.

Relational Database

In most of the modern organizations today, network database models have been replaced by relational databases. Hierarchical and network databases require the user to pass a hierarchy in order to access the required data. These databases connect to the data in various files using a key field or common data numbers. Data in relational databases are stored in different access control tables, each having a key field that primarily identifies each row. Here the data is stored in fixed predefined structures and is usually manipulated using Structured Query Language (SQL).

Object-Oriented Database

This is one of the most advanced types of database management systems. While other database management systems are designed to handle structured data, object-oriented database management is designed to store data from a variety of media sources, such as text, photographs, and produce work, as output, in a multimedia format.

Ready to Harness Game-Changing Insights?

Request a free solution pilot to know how we can help you derive intelligent, actionable insights from complex, unstructured data with minimum effort to drive competitive readiness, market excellence, and success.

Recent Blogs

Supply Chain Analytics and its Importance for Businesses

Supply Chain Analytics and its Importance for Businesses

Supply chains generate massive amounts of structured and unstructured data, which, when used efficiently, can enable organizations to gain intelligent, actionable insights. Traditional supply chains, that do not make use of data analytics are siloed and slow-moving,...

read more
Four Metrics in the Telecom Industry to Make Smart Decisions

Four Metrics in the Telecom Industry to Make Smart Decisions

What you can expect from the Telecom Analytics Metrics Article IntroductionTelecom Analytics Metrics Highlights of the Telecom Analytics Metrics Article S NoTelecom Analytics Metrics1.Average Revenue Per User (ARPU)2.Minutes of Usage (MOU)3.Churn Rate4.Subscriber...

read more

Industries

Our advanced analytics expertise spans across industries, sectors, and functions, which enables us to deliver robust, agile solutions to all our clients. These are our core competencies, formed through years of experience.

Insights

Our free resources shed light on our extensive expertise and equip you with information to accelerate decision-making, growth, and innovation.

Talk to us
Talk to us