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SQL Implementation with Ease in RDBMS

Don’t you think it would be great if using a programming language, we could easily manage database systems without having to write a substantial amount of code?

Let’s see how!

But before going into specifics let's understand the basic terminologies:

What is RDBMS?

relational database management system (RDBMS) is a database management system (DBMS) that manages a relational database.

Read More: SQL Training and Certification

Example: Microsoft access, Oracle database, Microsoft SQL Server, MySQL

RDBMS's have been a common choice for the storage of information in new databases used for financial records, manufacturing, Transaction control, distribution control, logging and recovery, memory management, language processing, lock management and security concerns.

Structure of RDBMS

A relational database stores data in a collection of tables, each having a unique name and may have some common inter-related field.

Read More: SQL Interview Question and Answer

Each table consists of row. A row in a table represents a relationship among a set of values. Thus, a table represents a collection of relationships. Each row consists of one more field called as COLUMN.

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SQL Implementation with Ease in RDBMS

Now once you have got the hold of RDBMS you can see the viability of SQL in RDBMS in coming sections.


SQL stands for structured query language. Its purpose is to access and manipulate the database. It’s a programming language which is basically designed for managing data held in Relational Database management system. 

SQL Implementation with Ease in RDBMS

SQL Commands to manipulate data of RDBMS

There are 5 type of commands that are used which are as follows

  • DDL: Data definition language
  • DML: Data manipulation language
  • TCL: Transaction control language
  • DCL: Data control language.
  • DQL: Data query language.

DDL:  Data Definition Language

All DDL commands permit database to be created or deleted. These commands specify indexes and specify link and constraints between database tables. 

SQL Implementation with Ease in RDBMS

DML:  Data Manipulation Language

IN the case of DML commands, changes are not permanent to the database, they can be rolled back. DML command allows you to add, modify and delete rows from the table.

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SQL Implementation with Ease in RDBMS

TCL: Transaction Control Language

The commands are used to keep a check on other commands and their effect on the database. It also allows you to control and manage transactions to maintain the wholeness of data within the SQL statements. 

SQL Implementation with Ease in RDBMS

DCL:  Data Control Language

Data control language provides the administrating of the database and also help to control the level of retrieval that you have in the database. 

SQL Implementation with Ease in RDBMS

DQL:  Data Query Language

It enables you to query one or more table to get the desired information.

SQL Implementation with Ease in RDBMS

Advantages of using SQL in RDBMS 

High Speed

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SQL queries can be used to process and retrieve a lot of records from a database quickly in an efficient manner.

Data Structure

The table format is simple and user-friendly. RDBMSs provide data in a structured and organized way. Thus, in this manner Database queries can search any column for matching entries and provide requisite information accordingly.

Multi-User Access

It allows multi database users to access a database simultaneously. The various features allow users to access data as it is being changed, prevents confusion between two users updating the data and retrieve data in the correct manner.

SQL Coding

The language is very simple and interactive and the syntax is simple. It uses standard English language keywords to execute operations thus it’s easy to learn and use.

SQL Standards

The SQL database adheres to well-defined standards which are significant. These codes are beings adopted by ANSI and ISO.

Read More: SQL Interview Question and Answer

Referring to all the points mentioned above you can get an idea of how the SQL is catering to all aspects of RDBMS. Now with the emergence of the object-oriented database management system (ORDBMS), the object storage feature is extended to the relational databases.


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