Define and Discuss about object oriented DBMS

Answer 1

Object-oriented database management system (OODBMS) is a type of database management system that stores and manipulates data in the form of objects. It is based on the principles of object-oriented programming (OOP), where data and functions are encapsulated together in objects.

In an OODBMS, data is modeled as objects, which are instances of classes. Each object has its own identity, state, and behavior. The data and behavior are encapsulated within the objects, and objects can communicate with each other through message passing.

The main characteristics of an OODBMS are as follows:

1. Object Identity: Each object has a unique identity that distinguishes it from other objects.

2. Encapsulation: Data and behavior are encapsulated within objects, allowing for data hiding and information hiding.

3. Inheritance: Objects can inherit attributes and behaviors from other objects, providing a natural way to model real-world relationships.

4. Persistence: Objects in an OODBMS can be stored persistently, meaning they can be saved to disk and retrieved later.

5. Complex Data Types: OODBMSs support complex data types, such as arrays, lists, sets, and graphs, allowing for more flexible data modeling.

One advantage of using an OODBMS is that it provides a more natural way of representing complex objects and their relationships. This can lead to easier development and maintenance of applications, as the data model closely resembles the problem domain.

However, OODBMSs also have some limitations. They are often less mature and less widely used compared to traditional relational databases. They may also have performance issues when dealing with large datasets or complex queries. Additionally, OODBMSs may require specialized skills and training to use effectively.

Overall, the choice between an OODBMS and a relational DBMS depends on the specific requirements of the application. OODBMSs are typically more suitable for applications that have complex data structures and require flexible and efficient data modeling.