DBMS vs RDBMS vs NoSQL

DBMS vs RDBMS vs NoSQL

Last updated on 30th Sep 2020, Artciles, Blog

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What is Data?

It is a piece of information. Example: Name of the Person, Age, Employee ID giving the information about a particular person

What is a DataBase?

The Database is a term which is a collection of Data, Database used to Store and Manipulate the Data.

Let’s have an Example WhatsApp when we are taking a backup to our Google Drive it needs to store the data to the drive of all our Message, Videos, Pictures, etc.

We are able to give Infinite Examples for Database usage.

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Database Types

  • DBMS
  • RDBMS
  • NoSQL

DBMS

A full form of DBMS is Database Management System, this is a set of software program which is used to manipulate, control and store the data. This set of program which is used to manage the database. DBMS manipulate the Data format, Field names, record structure, and file structure.

A DBMS is used to serve between the end-users and the Database. And the DBMS supports retrieving, updating, deleting and modifying the data.

A DBMS needs the Comprehensive database software which is used to handle the rows and columns. We are able to control it. Enable the Admin functions with the huge range of operations like Monitoring, Tuning, and Backup Recovery

Benefits of DBMS

We can handle the huge amount of Data, We can chief among them with the features of Data Handling, Data Sharing, Integrity, and Security and it is easy to handle Data Redundancy in the Database System.

DBMS Category

DBMS-Category

RDBMS

Relational Database Management System is the most famous among the Database, we are calling this as relational Database meaning is there is a relationship between the data stored in the database

A row represents the record and the column represents the Attribute. In RDBMS every individual field represents the data value. To Query or handle the RDBMS we need SQL. The SQL or See- Quel is used to handle the Insert, delete, modify, and update queries in an effective way.

Other hand SQL is used in Development and Data Analytics and to write scripting for Integration.

Benefits of RDBMS

RSBMS-Benefits
  • It supports better Data redundancy
  • It allows Easy Integration with the Applications
  • It gives more Secure
  • It has good data Access through the users.
  • Easier to Modify, Access and to Learn

Example of RDBMS

  1. 1. My SQL
  2. 2. Oracle
  3. 3. SQLite
  4. 4. SQL Server

Let’s have a deep Description of the Relationship:

Course IdStudent Name
BES1Mani
BES2Karthik
BES3Ismail
Course IdTrainer Name
BES1xxx
BES2xyz
BES3zzz

Now, these two data which are actually having a link between each other for example each dataset has a relation by Course ID.

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NoSQL

NoSQL is a Next-Generation Database which is used to store the data and retrieval the data, it is known as NoSQL database meaning it won’t need the Query Language this is no Structured Query Language, it having distributed Architecture and most of them are open Source

The Reason we are going with NoSQL is due to the increase of the Data. The Massive Data grew companies like Facebook, Google is preferring NoSQL because even increasing the Data size it won’t affect the Performance

No SQL doesn’t follow the strict schemas like Relational Models, with our NoSQL we can’t able to expect the Feature called ACID i.e. Atomicity, Consistency, Isolation, and Durability.

NoSQL having the capability of horizontal Scaling which means we can able to add or remove the capacity of the machine later and Main Feature of our NoSQL is we can able to add or remove the memory capacity or clusters in NoSQL Database

The NoSQL Database is having the capacity to handle a large number of Pictures, videos which streaming live, NoSQL which is giving the Scalability and Reliability to handle a large amount of data

NoSQL Category

NoSQL-Category

Examples for NoSQL

MongoDB, Cassandra, Redis, Couch DB, Big Table, Hbase, Amazon DynamoDB

Difference between DBMS, RDBMS, and NoSQL

DBMSRDBMSNoSQL
Stored Data as FileStored Data as TableStored data as Document
IT is a hierarchical form of structureIt is a tabular structure where the header and columns are thereIt is document-based where key-value pair based storage
It won’t support IntegrityIt supports Integrity constraintsIt doesn’t support Integrity
Low Software and hardware needHigh level of  hardware and software neededCommodity Hardware needs
It is part of  ACID properties ( Atomicity, Consistency, Isolation, and Durability)It also based on ACID propertiesIt  follows the  CAP theorem ( Consistency, Availability and Partition tolerance )
There is No SecurityIt provides a high level of securitySecurity is very weak comparatively
Data needs to Access IndividuallyData can be access to Individual or MultipleData Accessing based on Key
No Relationship between DataIt is having Strong RelationshipPoor or Weak Relationship
Data Redundancy is EasierData Redundancy is not possibleEntities relation with others we can able to describe later
Does not support NormalizationRDBMS can be NormalizedDoesn’t require Normalization
Doesn’t support distributed DatabaseIt support distributed databaseIt is a non-relational largely relational database
This is suited for Small quantity of dataThis is suitable of large quantity of dataThis is used to handle a huge amount of data like images, videos, etc..
Doesn’t support Client-Server ArchitectureIt is well suited for client-server ArchitectureIt is not suitable for client-server architecture
It is used to handle structured DataIt handling Structured data with Manipulating the dataIt is used to handle the Semi-Structured and Unstructured data
It supports Single UserIt supports multiple usersIt supports multi-level clustering
It is used by banking, Airlines, Universities, Telecommunication, etcThe same use cases of DBMSIt is using in IoT, BigData, Mobile and Web App
Example: File System, XMLExample: MySQL, Oracle, SQLiteExample: MongoDB, Cassandra
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Conclusion

You can say that a RDBMS is an extension of a DBMS, even if there are many differences between the two. Most software products in the market today are both DBMS and RDBMS compliant. Essentially, they can maintain databases in a (relational) tabular form as well as a file form, or both. This means that today a RDBMS application is a DBMS application, and vice versa. However, there are still major differences between a relational database system for storing data and a plain database system.

RDBMS and NoSQL both are great in data management and both are used to keep data storage and retrieval optimized and smooth. It’s hard to say which technology is better so developer take decision according requirement and situations

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