Difference between File System and DBMS

File System Vs DBMS: Explore What is the Difference between File System and DBMS

File System helps to store a collection of raw files of data into a hard disk, while DBMS is a software system, and it helps to store, manipulate or recover data. In this article, attempts have been made to explain the terms, find their definitions and comparisons, and finally to identify the difference between File System and DBMS.

The terms at discussion in this article, are:

  • File System
  • DBMS

What is a File System?

File system is a method of organising the files with a hard disk or other medium of storage. File system arranges the files and helps in retrieving the files, when required. It is compatible with different file types, such as mp3, doc, txt, mp4,etc and these are also grouped into directories. It also influences the method of writing and reading data to the hard disk.

Examples are NTFS or the New Technology File System and EXT, the Extended File System.

What is a DBMS?

DBMS, meanwhile, is the acronym for Database Management System. It is also a software used to store and regain user’s data, while also maintaining the required security measures. This includes a group of programmes that can help to manipulate the database. In bigger systems, DBMS helps the users as well as third party software to store and recover the data.

Examples are MySQL, MS SQL Server, Oracle and so on.

What is the Difference between File System and DBMS?

The file system is a collection of data and for any management with it, the user has to write the procedures, while DBMS is a collection of data and user need not write the procedures for handling the database. Learn about what is the difference between a file system and DBMS from the table given.

Difference between File System and DBMS

FILE SYSTEM DBMS
Used to manage and organise the files stored in the hard disk of the computer A software to store and retrieve the user’s data
Redundant data is present No presence of redundant data
Query processing is not so efficient Query processing is efficient
Data consistency is low Due to the process of normalisation, the data consistency is high
Less complex, does not support complicated transactions More complexity in managing the data, easier to implement complicated transactions
Less security Supports more security mechanisms
Less expensive in comparison to DBMS Higher cost than the File system
Does not support crash recovery Crash recovery mechanism is highly supported

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