One size fits all? - Part 2: Benchmarking results

Michael Stonebraker*, Chuck Bear, Uur Çetintemel, Mitch Cherniack, Tingjian Ge, Nabil Hachem, Stavros Harizopoulos, John Lifter, Jennie Rogers, Stan Zdonik

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

49 Scopus citations

Abstract

Two years ago, some of us wrote a paper predicting the demise of "One Size Fits All (OSFA)" [Sto05a]. In that paper, we examined the stream processing and data warehouse markets and gave reasons for a substantial performance advantage to specialized architectures in both markets. Herein, we make three additional contributions. First, we present reasons why the same performance advantage is enjoyed by specialized implementations in the text processing market. Second, the major contribution of the paper is to show "apples to apples" performance numbers between commercial implementations of specialized architectures and relational DBMSs in both stream processing and data warehouses. Finally, we also show comparison numbers between an academic prototype of a specialized architecture for scientific and intelligence applications, a relational DBMS, and a widely used mathematical computation tool. In summary, there appear to be at least four markets where specialized architectures enjoy an overwhelming performance advantage.

Original languageEnglish (US)
Title of host publicationCIDR 2007 - 3rd Biennial Conference on Innovative Data Systems Research
Pages173-184
Number of pages12
StatePublished - Dec 1 2007
Event3rd Biennial Conference on Innovative Data Systems Research, CIDR 2007 - Asilomar, CA, United States
Duration: Jan 7 2007Jan 10 2007

Other

Other3rd Biennial Conference on Innovative Data Systems Research, CIDR 2007
Country/TerritoryUnited States
CityAsilomar, CA
Period1/7/071/10/07

ASJC Scopus subject areas

  • Information Systems

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