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Comparison of MySQL and MongoDB with focus on performance

机译:MySQL和MongoDB专注于性能的比较

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摘要

Almost every web application uses a database for storing data. Storing and retrieving data causes a delay between request to the system and its response. This has an impact on user-experience. The market offers many types of databases and each is more suitable for different types of applications. The main difference is in data-structures which are used for data storing. Data-structures directly influence the performance of the database system and all dependent systems. In this paper, an overview and brief comparison of four types of NoSql databases has been made. Next, benchmark comparing performance of MongoDb and MySQL in different situation are discussed. Benchmarks are focused on operations such as inserting, updating, and deleting data with transactions and without transactions. The added value of the benchmarks is evaluated in terms of cost of indexed fields in the abovementioned situations.
机译:几乎每个Web应用程序都使用数据库来存储数据。存储和检索数据导致对系统的请求之间的延迟及其响应。这对用户体验产生了影响。市场提供了许多类型的数据库,每个数据库都更适合不同类型的应用程序。主要区别在于数据结构,用于数据存储。数据结构直接影响数据库系统和所有相关系统的性能。在本文中,已经进行了四种类型的NoSQL数据库的概述和简要比较。接下来,讨论了MongoDB和MySQL在不同情况下的基准比较。基准专注于使用事务和无交易插入,更新和删除数据等操作。基准的附加值在上述情况下的索引字段的成本方面进行评估。

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