Object-Oriented Database Vs Object-Relational Database: 12 Differences & 6 Similarities

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What Is Object Relational Database?

An object-relational database (ORD) is a database management system (DBMS) that’s composed of both a relational database (RDBMS) and an object-oriented database (OODBMS). An object-relational database acts as an interface between relational and object-oriented databases because it contains aspects and characteristics from both models.

Object-oriented database (ORD) serves two main purposes:

  • It connects the divide between relational databases and the object-oriented modeling techniques that are usually used in programming languages like C#, Java and C++.
  • It bridges the gap between conceptual data modeling techniques for relational and object-oriented databases like entry-relationship diagram (ERD) and object-relational mapping (ORM).

What Is Object Oriented Database?

An object-oriented database is organized around objects rather than actions and data rather than logic. Therefore, an object database is a database management system in which information is represented in the form of objects as used in object-oriented programming.

Usually, when OODBMS is integrated with an object programming language, there is a much greater consistency between the database and the programming language because both use the same model of data representation. When compared to a relational database management system, an object-oriented database stores complex data and relationships between data directly, without mapping to relational rows and columns whereas a relational database stores information in tables with rows and columns.

The Difference

Features Of Object Oriented Database (OODBMS)

  1. In object oriented database, relationships are represented by references via the object identifier (OID).
  2. Object oriented systems employ indexing techniques to locate disk pages that store the object. Therefore, they are able to provide persistent storage for complex-structured objects.
  3. Handles larger and complex data than RDBMS.
  4. The constraints supported by object oriented systems vary from system to system.
  5. In object oriented systems, the data management language is typically incorporated into a programming language such as #C++.
  6. Stores data entries are described as object.
  7. Object oriented database can handle different types of data.
  8. In the object oriented database, the data is stored in the form of objects.

Features Of Object Relational Database (ORDBMS)

  1. In object t relational database, connections between two relations are represented by foreign key attributes in one relation that reference the primary key of another relation.
  2. Relational database systems do not specify any data storage structure, each base relation is implemented as separate file and therefore, they are unable to provide persistent storage for complex-structured objects.
  3. Handles comparatively simpler data.
  4. Object oriented database has keys, entity integrity and referential integrity.
  5. In relational database systems there are data manipulation languages such as SQL, QUEL and QBE which are based on relational calculus.
  6. Stores data in entries is described as tables.
  7. Relational database can handle a single type of data.
  8. In relational database, data is stored in the form of tables, which contains rows and column.

Also Read: Difference Between DBMS And RDBMS

Object Oriented Database Vs Object Relational Database In Tabular Form

BASIS OF COMPARISON                 OBJECT ORIENTED DATABASE (OODBMS) OBJECTED RELATIONAL DATABASE (ORDBMS)
Connection Between Two Relations Relationships are represented by references via the object identifier (OID).   Connections between two relations are represented by foreign key attributes in one relation that reference the primary key of another relation.  
Data Storage Structure It employs indexing techniques to locate disk pages that store the object. Therefore, they are able to provide persistent storage for complex-structured objects.   It  does not specify any data storage structure, each base relation is implemented as separate file and therefore, they are unable to provide persistent storage for complex-structured objects
Quantity Of Data Handles larger and complex data than RDBMS.   Handles comparatively simpler data.  
Constraints The constraints supported by this system vary from system to system.   It has keys, entity integrity and referential integrity.  
Data Manipulation Language The data management language is typically incorporated into a programming language such as #C++.   There are data manipulation languages such as SQL, QUEL and QBE which are based on relational calculus.  
Description Of Stored Data Stores data entries are described as object.   Stores data in entries is described as tables.  
Type Of Data Object oriented database can handle different types of data.     Relational database can handle a single type of data.  
Data Storage The data is stored in the form of objects.   Data is stored in the form of tables, which contains rows and column.  

Venn Diagram Summarizing The Difference Between ORDBMS And OODBMS

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