On the Performance of Three In-Memory Data Systems for On Line Analytical Processing
作者: Ionut HrubaruMarin Fotache
刊名: Informatica Economica, 2017, Vol.21 (1), pp.5-15
来源数据库: ProQuest Journal
原始语种摘要: In-memory database systems are among the most recent and most promising Big Data technologies, being developed and released either as brand new distributed systems or as extensions of old monolith (centralized) database systems. As name suggests, in-memory systems cache all the data into special memory structures. Many are part of the NewSQL strand and target to bridge the gap between OLTP and OLAP into so-called Hybrid Transactional Analytical Systems (HTAP). This paper aims to test the performance of using such type of systems for TPCH analytical workloads. Performance is analyzed in terms of data loading, memory footprint and execution time of the TPCH query set for three in-memory data systems: Oracle, SQL Server and MemSQL. Tests are subsequently deployed on classical on-disk...
全文获取路径: ProQuest  (合作)

  • Data 数据
  • database 资料库
  • memory 记忆
  • OLTP On-Line Transaction Processing
  • query 查询
  • distributed 分布的
  • OLAP 联机分析处理
  • edition 版本
  • SQL Structured Query Language
  • feature 结构元件