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Economic Factors (Choice of DBMS)


DBMS stands for Database Management System, which is a tool or software used for the creation, deletion, or manipulation of the database. It also provides security to the database. We can choose DBMS according to our requirements.

There are a lot of factors used to choose the DBMS, which are listed below:

  • Technical
  • Economics
  • Politics of organization

In this tutorial, we will discuss only non-technical factors like economics and the cost of choosing the DBMS.

Economic Factors of DBMS

  • Software Acquisition Cost:

There is an up-front cost for the software used to create the database and for various operations. This cost contains the cost of buying the software, which supports various languages and interfaces. This cost does not contain the cost of any extra tools like designing tools or developing tools. It contains the cost of the basic software required. While buying the software, we must know which DBMS version will support the current operating system.

  • Maintenance Cost:

This cost includes the service and maintenance of the software given to the vendor and also get the latest version of the software. So, for industrial purposes, we should have an updated version of the software, and it requires a cost that comes under the maintenance cost.

  • Hardware Acquisition Cost:

When we choose a DBMS, we also require some hardware like memory cards, hard disks, archival storage, controllers, etc., which has a good amount of cost. So, all the hardware cost comes in this category.

  • Personal Cost:

In a company, when DBMS is chosen, its data processing department handles all the operations and the working of the DBMS. For the first time in a company, this department requires DBA and staff members to operate the database, and their monthly salary adds to the cost. So the salary of the staff comes under the personal cost.

  • Training Cost:

To operate the DBMS experienced team is required. In a company, initially, all the staff members need to learn various skills like programming, application development, and database administration, etc., to operate the DBMS. To train the staff members for these skills requires a cost which is called training cost.

  • Operating Cost:

The cost of operating the database is called the operating cost, and it is added and considered while choosing the DBMS.

The above are the economic factors that are considered while choosing the DBMS. Apart from the economic factors, there are other factors for choosing the DBMS, which are described below:

  • Data Model:

We should use different database models for different requirements. For instance, a NoSQL database can analyze hierarchical data in sequential files more quickly than a relational one. Since relational databases have been around for a while, there are several commercial RDBMS (relational database management systems), in contrast to NoSQL databases, which are frequently open source.

  • Data Consistency:

Today, gathering data requires little effort. However, maintaining consistency in the data becomes even more crucial as more sources are added to the database. As a result, consistency rules are crucial, and the capability to establish them should be taken into account while selecting a new DBMS.

  • Data Security:

Data accessibility is a crucial component of business success for most firms and should always be ensured. With your chosen DBMS, it must be feasible to back up and restore databases, which is crucial. When it comes to data protection, IT administrators should build up a structure and a management strategy to minimize downtime.

  • Data Protection:

The security of personal data should be possible thanks to access control and encryption. Every DBMS offers a unique mechanism for encrypting data, but each system has a unique capacity for defining routines and access privileges. When evaluating a DBMS, the method of data protection should be carefully taken into account as it depends on the data's structure.

  • Efficiency:

Typically, we refer to a database management system's efficiency in terms of reaction time. On the market, both on-premises and cloud solutions are available. A cloud-based solution may have several drawbacks depending on your own IT infrastructure because it relies on network services and network provider latencies. On the other hand, because efficiency and scalability are related, cloud computing can offer more and better resources than your on-premises system. Verify that the DBMS you choose can grow to meet your demands.

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