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Comparison of SQL, NoSQL and NewSQL databases for internet of things

机译:物联网的SQL,NoSQL和NewSQL数据库的比较

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The Internet of Things (IoT) in all its essentiality is a collection of sensors bridged together tightly. The present day development in the technology industry has thus elevated the emphasis of large amounts of data. IoT is expected to generate and collect an enormous amount of data from varied locations very quickly. The concerns for features like storage and performance factors are coercing the databases to outperform themselves. Traditional relational databases have time and again proved to be efficient. NoSQL and more recently NewSQL databases having gained an impetus are asserted to perform better than the classic SQL counterpart. This paper compares the performance of three databases each from the said technologies; SQL (MySQL), NoSQL (MongoDB) and NewSQL (VoltDB) respectively for sensor readings. The sensor data handled ranges in vast (MB to GB) size and tested against: single write, single read, single delete and multi write operations.
机译:物联网(IoT)至关重要,它是紧密连接在一起的传感器的集合。因此,技术行业的当前发展已提高了对大量数据的重视。物联网有望很快从不同位置生成并收集大量数据。对诸如存储和性能因素之类的功能的担忧正在迫使数据库超越自身。传统的关系数据库屡屡被证明是有效的。 NoSQL和最近的NewSQL数据库得到了推动,它们的性能要优于经典的SQL数据库。本文比较了上述三种技术中每个数据库的性能。 SQL(MySQL),NoSQL(MongoDB)和NewSQL(VoltDB)分别用于传感器读数。处理的传感器数据范围很大(从MB到GB),并针对:单次写入,单次读取,单次删除和多次写入操作进行了测试。

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