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Closed-Source vs. Open-Source Databases

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A database is a structured collection of data that are related in a meaningful way, which can be accessed in different logical orders. A relational database management system consists of collection of interrelated data and a set of programs to access that data (Sumathi & Esakkirajan, p. 2). Most of the organizations eventually have to decide which database system to choose: closed-source or open-source. Each option has its advantages and disadvantages, and mainly depends on the organization itself; where one will benefit, the other will face some difficulties. For example, open-source software is usually is more flexible, but it sometimes requires some extra work or knowledge from the user to customize the database. The main reason why I would prefer using open-source database, is that in closed-database systems it is not possible to see the source code. It means that the user cannot detect bugs and other system vulnerabilities. The crucial factor in favor of the open-based system is the question of the price, as open-source database systems are free. Open-source database systems, such as MySQL, are great for users, who agree to tolerate some minor limitation (which sometimes do not matter for a particular company) in preference to simple and fast performance. Many organizations remain cautious about using new open-source software. For these companies, they might use systematic software implementation; for instance, start using open-source databases like PostgreSQL or MySQL, after they have successfully tested Linux or Open Office (Amant & Still, p. 259). Moving in that direction will lead to a formation of a strategy, which I would suggest using - the hybrid strategy. In order to use any benefits of open-source database systems and to lower the risk, this strategy suits perfectly. With the help of the open source concept, it emphasizes the closed-source

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