Then on to ODBMS...
First, an object is an autonymous instance of a class tht contains data, methods and reference and relationship to other objects. Object can contain one or more other objects, and its methods or "procedures" can operate on data local to the object or on other object.
The dominant relationship between objects is their construction mode, or "inheritance". You may hide data in an object - "encapsulate" it, you make a new class, based on an existing class, creating a new object type. The new object type ("class") need not contain new data, may be just a change in the actions. Like "Parents: are still considered people but have one of more "children" - also people.
So, to be a proper ODBMS, the database must contain methods and procedures beside just data. There are some ODBMS around but most just makes claims to capability to support object oriented programming. The programming is where you keep all the logic, the methods and procedures, and the objects are "populated" with data from the database. The database can be anything - RDBMS and Codasyl DBTG type. Codasyl supports object reference, and allows People to have "Parents" that has "Children" - where this has to be implemented either by a special table that maps a "parent" to their "children" or make a column implement this.
A database is a repository of data in one place, allowing this to be used by all. Your address book is a repository of names, addresses, telephone numbers and how this is used is determined by the methods in the various applications - it is not held in the address book. The email client knows how to use the email address, the VoIP how to use the phone number, the IM how to use user ID - the methods are scattered around. This is not how it was intended in a object oriented context. To be blunt, the OO worried less about the "persistency" of data, that was considered "solved" but definitely not with a relational database system.
Good RDBMS contains extensions that supports referential integrity and logic consistency checks such as "every child must have parents". The RDBMS may better be considered as a special object that is used to hold data, abd retain consistency. Claims of ODBMS are usually a hogwash of marketing gimmickry and misunderstanding.
The 'r'
dbms
A DBMS becomes an RDBMS when the data contained in its tables are related to one another by referential integrity rules. DBMS - Database Management System RDBMS - Relational Database Management System
dbms stands for data base management system whereas rdbms is relational data base management system. A Database Management System (DBMS) is collection of software programs which enable large, structured sets of data to be stored, modified, extracted and manipulated in different ways. Whereas Relational Database Managemet System (RDBMS) is a data structured in database tables, fields and records. Each RDBMS tables consist of database table rows.
A DBMS (Database Management System) is a software application that allows users to interact with a database. An RDBMS (Relational Database Management System) is a type of DBMS that organizes data into tables with rows and columns, and uses structured query language (SQL) for querying and managing data. RDBMSs are a subset of DBMSs, designed specifically for relational databases.
A DBMS (Database Management System) is a software that manages databases and provides functionalities to store, retrieve, and update data. An RDBMS (Relational Database Management System) is a type of DBMS that stores data in a structured way using tables with relationships between them. RDBMS enforces the relational model, which allows for data integrity through constraints and supports SQL for querying data.
RDBMS is a Relational Data Base Management System Relational DBMS. This adds the additional condition that the system supports a tabular structure for the data, with enforced relationships between the tables. This excludes the databases that don't support a tabular structure or don't enforce relationships between tables.
MySQL is an RDBMS.
Different kinds of database are: * DBMS * RDBMS
My sql, Microsoft sql , Microsoft Access, dBase, Filemaker pro are the examples for dbms and oracle and sql server are the examples for rdbms
Some advantages of relational database management systems (RDBMS) over traditional database management systems (DBMS) include data integrity through the use of constraints, normalization to reduce redundancy, support for ACID transactions, and standardized SQL language for data manipulation. RDBMS also offer scalability and flexibility for complex data structures and relationships.
User see the data as Relations [ Tables ] in RDBMS. Where as the user need to know the datastructures and the methods to access them in DBMS. Both store the data required but how the user perceive the data matters.