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What does DDBMS mean?

Jan 22, 2019 am 11:13 AM

DDBMS stands for Distributed Database Management System and is a centralized software system; it is used to manage distributed databases and can contain data in multiple locations. The following article will introduce you to DDBMS and understand the advantages and disadvantages of DDBMS. I hope it will be helpful to you.

What does DDBMS mean?

DDBMS (Distributed Database Management System)

DDBMS can manage distributed databases, including The data can be in the same place or in different systems in different geographical locations. [Video tutorial recommendation: MySQL tutorial]

As shown in the following example:

What does DDBMS mean?

It can be seen that the database is divided into multiple locations , and store data in Site1, Site2, Site3 and Site4.

Let’s take a look at the characteristics of DDBMS:

● It is used to create, retrieve, update and delete distributed databases.

● It regularly synchronizes the database and provides an access mechanism, whereby distribution is transparent to users.

● It ensures that data modified at any site is universally updated.

● It is used in application fields where large amounts of data are processed and accessed simultaneously.

● It is designed for heterogeneous database platforms.

● It maintains the confidentiality and data integrity of the database.

Advantages and Disadvantages of DDBMS

Advantages of DDBMS

● The database is easier to expand because It's already distributed across multiple systems, and adding systems isn't too complicated.

● Distributed database can arrange data according to different transparency levels, that is, data with different transparency levels can be stored in different locations.

● Can share data, multiple organizational units usually need to communicate with each other and share their data and resources.

● The database can be recovered because a common technique is used in DDBMS: copying data across different sites. If the database in any site becomes corrupted, data replication automatically aids in data recovery; while the damaged site is rebuilt, users can access the other site's data.

● Support Line Transaction Processing (OLTP) and Online Analytical Processing (OLAP), which work on a variety of systems that may have common data. Distributed database systems assist in these processes by providing synchronized data.

● Even if some data nodes go offline, the rest of the database can continue its normal functions.

Disadvantages of DDBMS

● Complexity: Distributed databases are very complex and it is difficult to ensure that users get a unified view of the database because it is distributed in multiple locations.

● Difficult to maintain: Distributed databases are complex and it is difficult to find people with the necessary experience to manage and maintain them.

● High cost: The increased complexity means that our expected purchase and maintenance costs will be higher than ordinary databases. Additionally, a distributed DBMS requires additional hardware to establish a network between sites; using this network incurs ongoing communication costs. There are also additional labor costs required to manage and maintain the local DBMS and underlying network.

● Security: Providing security in a distributed database is difficult because the database needs to be protected everywhere it is stored. Additionally, the infrastructure connecting all the nodes in the distributed database needs to be protected.

● Data integrity: Due to its nature, it is difficult to maintain data integrity in a distributed database. There is data redundancy in the database because it is stored in multiple locations.

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