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Volume 8, No. 2, March 2017 (Special Issue) International Journal of Advanced Research in Computer Science REVIEW ARTICLE Available Online at www.ijarcs.infoComparative Study of Traditional Database.

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  3. In the next section, provide a brief overview of your research or application concerning traditional databases and cloud databases. Focus on how they differ and the significance of your study.
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Ultimately, Cloud computing offers cost-savings, scalability, and the ability to access data from anywhere. Traditional computing requires businesses to purchase and manage hardware, software, and other related services, which can be expensive and difficult to scale.

A traditional app is always dependent on a specific OS for working properly. It is also reliant on backing services, storage and hardware. These traits make OS migration risky for a traditional computing app. On the other hand, cloud-based applications are independent, as cloud computing technology is omnipresent.

In comparison to on-premises databases, cloud databases are hosted in the cloud service provider's data centers, so the costs of hardware, such as servers, network devices, and storage, are eliminated. A cloud database can be rented, being an operational expense with a monthly fee, rather than a capital expense.

It is managed by an in-house IT team employed and paid by the enterprise which owns the data center. Meanwhile, a cloud data center (or just the 'cloud') serves exactly the same purpose as the traditional data center, but is physically located elsewhere, often even distributed across multiple locations.

RDBMS and OODBMS are database management systems. RDBMS uses tables to represent data and their relationships whereas OODBMS represents data in form of objects similar to Object Oriented Programming.

A cloud database is a database built to run in a public or hybrid cloud environment to help organize, store, and manage data within an organization. Cloud databases can be offered as a managed database-as-a-service (DBaaS) or deployed on a cloud-based virtual machine (VM) and self-managed by an in-house IT team.

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