Relational Database Management System (RDBMS)

RDBMS stands for Relational Database Management System. It is a type of database management system that is based on the relational model of data. RDBMS stores data in the form of tables, which consist of rows and columns, and the data isareelated to each other through unique keys and indexes.

Some examples of RDBMS include MySQL, Oracle, SQL Server, and PostgreSQL. These systems provide a set of tools and interfaces for creating, modifying, and querying relational databases. They also support the SQL language for data manipulation and querying.

RDBMS are widely used in various applications, such as enterprise resource planning, customer relationship management, and data warehousing. They are also popular for web development, as many web applications require a database to store and retrieve data.

One of the main advantages of RDBMS is its ability to handle large amounts of data with high performance and reliability. Additionally, RDBMS supports data integrity and consistency through the use of constraints and triggers.

RDBMS stands for

RDBMS stands for Relational Database Management System.

Introduction to Table:

In this scenario, the data in an RDBMS is stored in database objects which are known as tables. The database contains one or more tables. The  table  consists of columns and rows and is basically a collection of related data.

A table is the most common and simplest form of data storage in a relational database(RD) . The following  is an example of a EmployeeInfo table −

Introduction to Field:

Commonly, the field is a column in the table. In the table, the field is designed to maintain specific information about every record. The field in the EmployeeInfo table consists of Id, Name, Age, Salary, and Address.

Introduction to Row:

Each individual entry that exists in a table is known as a row. For example, there are 3 records in the above EmployeeInfo table. Below is a single row of data or record or row in the EmployeeInfo table −

Introduction to Column:

Columns are known as vertical entity in a table that contains all information associated with a specific field in a table.

For example, a column in the EmployeeInfo table is Address which represents location as shown below −

Introduction to SQL Constraints:

The rules enforced on columns of a table are known as Constraints. The Constraints are used to limit the type of data that can go into a table. Constraints ensure the accuracy and reliability of the data in the database.

• NOT NULL Constraint − Restricts a column to have a NULL value.
•  DEFAULT Constraint − Set/Ensure a default value for a column when none is specified.
• UNIQUE Constraint − Restricts the duplicate values in a column.
• PRIMARY Key − Primary keys are used to uniquely identify each row/record in a database table.
• FOREIGN Key − Foreign keys are used to uniquely identify a row/record in any other database table.
• CHECK Constraint − The CHECK constraint checks certain conditions in a column.
• INDEX − The INDEX is used to create and retrieve data from the database very quickly.

non-relational database

A non-relational or NoSQL database is a type of database management system that does not follow the traditional relational model of data. Unlike relational databases, which use tables, rows, and columns to organize data, NoSQL databases use a variety of data models such as key-value, document, graph, and column-based to store and retrieve data.

Some examples of NoSQL databases include MongoDB, Cassandra, Redis, and Couchbase. These databases are known for their ability to handle large amounts of unstructured and semi-structured data, as well as their scalability and flexibility.

NoSQL databases are often used in big data and real-time web applications, such as social media, gaming, and e-commerce platforms. They can also be used in other use cases such as IoT and content management systems.

One of the main advantages of NoSQL databases is their ability to handle high read and write loads and the ability to scale horizontally. Additionally, they are often better suited for handling unstructured and semi-structured data, and can also be more flexible in terms of schema design.

RDBMS VS DBMS

RDBMS (Relational Database Management System) and DBMS (Database Management System) are both types of database management systems, but they have some key differences.

An RDBMS is a type of DBMS that is based on the relational model of data, where data is organized into tables, with each table consisting of rows and columns, and the data is related to each other through unique keys and indexes. RDBMS uses SQL (Structured Query Language) for data manipulation and querying. Examples of RDBMS include MySQL, Oracle, SQL Server, and PostgreSQL.

A DBMS, on the other hand, is a broader term that encompasses all types of database management systems, including RDBMS and other types such as NoSQL databases. DBMS are software systems that manage the storage, organization, and retrieval of data. They provide a set of tools and interfaces for creating, modifying, and querying databases.

In summary, all RDBMS are DBMS, but not all DBMS is RDBMS. RDBMS follows the relational model and uses SQL, whereas DBMS is a broader term that includes other types of databases, such as NoSQL databases, which may not follow the relational model and use different query languages.