Difference between RDBMS and OODBMS
RDBMS:
RDBMS stands for Relational Database Management System. It is a database management system based on the relational model i.e. the data and relationships are represented by a collection of inter-related tables. It is a DBMS that enables the user to create, update, administer and interact with a relational database. RDBMS is the basis for SQL, and for all modern database systems like MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access.
OODBMS:
OODBMS stands for Object-Oriented Database Management System. It is a DBMS where data is represented in the form of objects, as used in object-oriented programming. OODB implements object-oriented concepts such as classes of objects, object identity, polymorphism, encapsulation, and inheritance. An object-oriented database stores complex data as compared to relational database. Some examples of OODBMS are Versant Object Database, Objectivity/DB, ObjectStore, Caché and ZODB.
Difference Between RDBMS and OODBMS:
BASIS | RDBMS | OODBMS |
---|---|---|
Long Form | Stands for Relational Database Management System. | Stands for Object Oriented Database Management System. |
Way of storing data | Stores data in Entities, defined as tables hold specific information. | Stores data as Objects. |
Data Complexity | Handles comparatively simpler data. | Handles larger and complex data than RDBMS. |
Grouping | Entity type refers to the collection of entity that share a common definition. | Class describes a group of objects that have common relationships, behaviors, and also have similar properties. |
Data Handling | RDBMS stores only data. | Stores data as well as methods to use it. |
Main Objective | Data Independence from application program. | Data Encapsulation. |
Key | A Primary key distinctively identifies an object in a table.. | An object identifier (OID) is an unambiguous, long-term name for any type of object or entity. |
Data Retrieval | SQL (Structured Query Language) | Object Query Language (OQL) |
Scalability | RDBMS has Limited scalability due to rigid schema | OODBMS has Highly scalable due to flexible schema |
Concurrency Control | RDBMS has Fine-grained locking | OODBMS has Optimistic concurrency control |
Data Relationships | In RDBMS Relational data is stored in tables and linked via foreign keys | In OODBMS faster for complex object-oriented queries |
Performance | RDBMS is Efficient for complex queries involving multiple tables | OODBMS is Faster for complex object-oriented queries |
Flexibility | RDBMS has Limited flexibility due to fixed schema | OODBMS has highly flexible due to object-oriented nature |
Data Persistence | In RDBMS Data is stored in tables on disk | In OODBMS Data is stored in objects in memory or on disk |
Examples | MySQL, Oracle, SQL Server | db4o, Versant, Objectivity/DB |
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