{"title":"对MySQL、Cassandra和HBase进行重写操作的性能评估","authors":"Vishal Dilipbhai Jogi, Ashay Sinha","doi":"10.1109/RAIT.2016.7507964","DOIUrl":null,"url":null,"abstract":"NoSQL databases have gained prominence in recent years because of their ability to scale easily and provide support for large amount of structured as well as unstructured data. User applications that need to perform heavy write operations have started making a paradigm shift to NoSQL databases with the overall intention to enhance performance. Eventually, various types of NoSQL databases have come up that have several features that suit different user specific needs. In this paper, the authors evaluate the performance of MySQL, Cassandra and HBase for heavy write operations by a Web based REST application.","PeriodicalId":289216,"journal":{"name":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":"{\"title\":\"Performance evaluation of MySQL, Cassandra and HBase for heavy write operation\",\"authors\":\"Vishal Dilipbhai Jogi, Ashay Sinha\",\"doi\":\"10.1109/RAIT.2016.7507964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"NoSQL databases have gained prominence in recent years because of their ability to scale easily and provide support for large amount of structured as well as unstructured data. User applications that need to perform heavy write operations have started making a paradigm shift to NoSQL databases with the overall intention to enhance performance. Eventually, various types of NoSQL databases have come up that have several features that suit different user specific needs. In this paper, the authors evaluate the performance of MySQL, Cassandra and HBase for heavy write operations by a Web based REST application.\",\"PeriodicalId\":289216,\"journal\":{\"name\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-03-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"17\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAIT.2016.7507964\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Recent Advances in Information Technology (RAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAIT.2016.7507964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation of MySQL, Cassandra and HBase for heavy write operation
NoSQL databases have gained prominence in recent years because of their ability to scale easily and provide support for large amount of structured as well as unstructured data. User applications that need to perform heavy write operations have started making a paradigm shift to NoSQL databases with the overall intention to enhance performance. Eventually, various types of NoSQL databases have come up that have several features that suit different user specific needs. In this paper, the authors evaluate the performance of MySQL, Cassandra and HBase for heavy write operations by a Web based REST application.