What is DBMS?
The DBMS stands for Database Management System which is nothing but computer software.
Now, the database is a collection of some related data from the real world. This data is getting manipulated and fetched systematically, which is often the functionalities of the database. Using the Database Management System, the data within the database is systematically secured, managed, and stored.
The DBMS has ensured users in maintaining their files with important information. The use of advanced technology is ensuring that users can easily file the required information like backup, updates, security, retrievals, and many more.
The integrated database system was introduced in the year 1960 for storing data and using those data for certain needs.
Considering an example, the use of data that is getting extracted from the transaction is being stored, and then it is used in future uses.
What are the Advantages of DBMS?
In the modern era, the use of DBMS is huge. So, there have to be some positives that is tempting users to use it more often. Here are some of the purposes of a Database Managed System, listed in the points given below:
- The uniformity of the data is maintained within the database.
- There can be lots of confusion when you are handling large sets of data but using the DBMS software becomes easy without any human error.
- It is versatile enough to accommodate data for various uses.
- Using such a technology, you can manage the data in a faster way.
Some of the versions of the DBMS are clipper, RDBMS, FoxPro, and many more.
What is RDBMS?
From the above examples, you might have understood that RDBMS is a DBMS. Now, understanding the difference Between DBMS and RDBMS will be interesting. Before that, you need to know what RDBMS is all about.
Maintaining and managing data in a tabular format using the software is often termed the Relational Database Management System (RDBMS). The software operates in the relational schema which holds the tables and the data gets arranged into it in the formation of rows and columns.
The RDBMS is an updated version of traditional DBMS. The modern era has gone fast-paced, efficient, productive, and innovative which was suitable managed after the inclusion of RDBMS in the year 1970.
The refined ways of working with one or more databases have given rise to one of the most demanding database management systems which is the RDBMS. This has ensured the right support to the users in their needs and necessity. Apart from meeting the users’ needs, it has proficiently managed the exponentially growing data.
What are the Advantages of RDBMS?
After going through the features that are related to the Relational Database Management System, it becomes important to spot the advantages that specifically RDBMS adds to the database management system. These are listed as follows:
- Multiple users can able to access it.
- It can store large sets of data.
- The data redundancy is minimum when it comes to RDBMS.
- The data integration is spot on with this system of the database management system.
- The structuring and organizing of data are also done by better and updated tools.
Examples of RDBMS
Difference Between DBMS and RDBMS?
DBMS has largely benefited from the introduction of the RDBMS but establishing the difference between DBMS and RDBMS will help in understanding the right purpose, features, and functionality of these widely used systems related to databases. The differences are illustrated in the table form below:
|Storage||The storage in DBMS is done in files. The arrangement is either done in a navigational manner or a hierarchical manner.||A tabular form is used to store the data. The storage is not in a hierarchical manner rather the columns are used as the headers and the rows contain the data.|
|Functionalities||This system is used for storing, creating, retrieving, managing, and updating the data present within the database.||This system can create and manage the database. Apart from doing so, it has also been used to store data in tables and the data can be effectively stored, used, and retrieved.|
|Number of users||A single user can use it.||Multiple users can use it.|
|Normalization||Normalization is unsupported in DBMS.||Normalization is supported and therefore the data is well organized within the database.|
|Handling data quantity||Not possible to store large sets of data.||It can handle and store large sets of data effectively.|
|Data relationship||No relationship is established between the stored data.||The relationship is maintained among the tables that consist of data in it.|
|The efficiency of fetching data||Slow to fetch the data.||The relational model has ensured faster and more efficient data fetching.|
|Distributed databases||Storing databases at a different location is not supported.||Storing databases in a different location is supported.|
|Redundancy of data||Duplication of data is higher in DBMS.||Duplication of data is eliminated and therefore it reduces the wastage of resources and time.|
|Use of hardware and software||Needs minimum uses of hardware and software.||Uses of hardware and software are higher as compared to the traditional database management system.|
|Data integrity||No data integration constraints.||Supports the integration constraints for maintaining the uniformity of the data.|
|Accessing of data||You can access a single file from a single database.||You can access multiple data in a single attempt.|
|Data security||Data is more prone to theft as there is no data security.||Data is highly secure with security measures.|
|Data consistency (ACID properties)||It does not support ACID properties and therefore no consistency of data.||Supports the ACID properties so the data is always consistent.|
|Data client-server||Does not support the client-server.||Supports data client-server with a specific architecture.|
The knowledge of the difference between DBMS and RDBMS has helped several users to understand the right utilities. This has also ensured the way to store and effectively manage data. On and all, the inclusion of RDBMS in the DBMS has benefited the use of data within the databases.