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Difference between DBMS and RDBMS

DBMS and RDBMS

Before we start the difference between RDBMS and DBMS let us understand the basics and differences between these two. It would be vital to understand what is database management at all!

A database management system is a system that manages the data in a database.

The database management system is used to manipulate the data that is stored in a database. Now let’s deep explore DBMS and RDBMS.

What is Data Model?

By data model, we mean the structure of a database, which reflects the logical relationship among the data being stored in the database. To better understand the data model, it is better to understand what the database represents.

The way we use a database to store data is called a database model, and each database model is designed in accordance with its purpose. For example, the database model of a banking system would be very different from that of a flight reservation system. The goal of the database model is to make it easier to understand and use the database.

DBMS and RDBMS Meaning and Differences

DBMS (Database Management System):

Database Management System, or DBMS for short, is an application programming language to control how databases are created and updated. It is also a way to manage, organize and query data stored in a database.

DBMS is more than just a database system; it is one of the tools that support the creation and maintenance of databases. It provides tools for data storage, management, retrieval, backup, recovery, integrity, security and so on.

DBMS stores all the data in a file format. These are basically stored in navigational or hierarchical form. These are not as secured as RDBMS, in terms of manipulation of Data.

Normalisation is not used in DBMS. Hence, if this constraint is not required in the project, then one can go with DBMS. It also uses a file system to store the data. This destroyes the relationship between tables.

Not only this, one has to provide a proper uniform method to access the stored information. The distributed database feature lacks in DBMS. And is generally meant for small organizations with a single user or less data.

dbms-and-rdbms

RDBMS (Relational Database Management System)

Relational databases are one of the most important concepts in database management systems. It means that all the data is stored in tables, and every table contains a number of attributes (fields) and a number of records.

In a relational database, data is organized into what is known as relations or tables, and the data in these relations are related through the fields in the tables. A relational database is an example of a set-theoretic relational schema. A set is defined as a set of elements; for example, a set of natural numbers, or a set of students.

RDBMS is used to store, manage, and manipulate the data in a relational database. Relational database management systems are database management systems that work with a relational database. In other words, you cannot use a database without an RDBMS, and an RDBMS is the foundation of a database.

The RDBMS uses two types of data structures. The first one is a relation. It is a collection of records where each record is a record in the database. Every record consists of a number of fields, each of which holds some piece of information about that record. A relation is defined as a collection of records. A table is a simple representation of the relations of a database. A relation can be defined by the table definition and it can be accessed using a query.

The RDBMS is also the software component that controls the access of data within the database. The database can be viewed as a file system that can be accessed via the RDBMS. RDBMS does not contain logic to perform any computation. The logic is stored in stored procedures and functions in the database.

With the help of RDBMS, it is easy to create, insert, and update data. It is easy to create new records with the aid of RDBMS as opposed to other data management systems that require programming skills and experience.

Security is tight in RDBMS, as it strictly follows ACID property (Atomicity, Consistency, Isolation, and Durability). It also follows Normalization. All the data are stored in a tabular format.

Each table can have a unique primary key and data present with attributes in the column. RDBMS supports tabular data structure, and thus maintains a relationship between stored values. It also supports the Distributed Database feature.

RDBMS is generally used in big corporations, where a large amount of data is handled and multiple and complex relationships are required.

Conclusion

In conclusion, one can say that RDBMS is an extension of DBMS. There are many software products that use both, but all of these depend upon the usage and requirements. Examples of DBMS are file systems, XML, JSON, etc. Examples of RDBMS are, SQL, Postgres, MySQL, SQL Server, Oracle, etc.

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