{"title":"矢量化:一个矢量化的分析数据库管理系统","authors":"M. Zukowski, M. V. D. Wiel, P. Boncz","doi":"10.1109/ICDE.2012.148","DOIUrl":null,"url":null,"abstract":"Vector wise is a new entrant in the analytical database marketplace whose technology comes straight from innovations in the database research community in the past years. The product has since made waves due to its excellent performance in analytical customer workloads as well as benchmarks. We describe the history of Vectorwise, as well as its basic architecture and the experiences in turning a technology developed in an academic context into a commercial-grade product. Finally, we turn our attention to recent performance results, most notably on the TPC-H benchmark at various sizes.","PeriodicalId":321608,"journal":{"name":"2012 IEEE 28th International Conference on Data Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"74","resultStr":"{\"title\":\"Vectorwise: A Vectorized Analytical DBMS\",\"authors\":\"M. Zukowski, M. V. D. Wiel, P. Boncz\",\"doi\":\"10.1109/ICDE.2012.148\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vector wise is a new entrant in the analytical database marketplace whose technology comes straight from innovations in the database research community in the past years. The product has since made waves due to its excellent performance in analytical customer workloads as well as benchmarks. We describe the history of Vectorwise, as well as its basic architecture and the experiences in turning a technology developed in an academic context into a commercial-grade product. Finally, we turn our attention to recent performance results, most notably on the TPC-H benchmark at various sizes.\",\"PeriodicalId\":321608,\"journal\":{\"name\":\"2012 IEEE 28th International Conference on Data Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"74\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 28th International Conference on Data Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2012.148\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 28th International Conference on Data Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2012.148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Vector wise is a new entrant in the analytical database marketplace whose technology comes straight from innovations in the database research community in the past years. The product has since made waves due to its excellent performance in analytical customer workloads as well as benchmarks. We describe the history of Vectorwise, as well as its basic architecture and the experiences in turning a technology developed in an academic context into a commercial-grade product. Finally, we turn our attention to recent performance results, most notably on the TPC-H benchmark at various sizes.