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 academi...
Big data is characterized by volume and velocity [24], and recently several real- time stream proces...
This report carries out a relative performance comparison between two DBMS architectures on the Mult...
Includes bibliographical references (pages 37-38)The advent of big data and the need for large scale...
Two years ago, some of us wrote a paper predicting the demise of “One Size Fits All (OSFA) ” [Sto05a...
In previous papers [SC05, SBC+07], some of us predicted the end of “one size fits all ” as a commerc...
Originally Binary Large Objects (BLOBs) in databases were conceived as a means to cap-ture any large...
The shortage of adequate benchmarking facilities is a major problem in the evaluation of novel produ...
Commercial applications such as databases and Web servers con-stitute the largest and fastest-growin...
A growing consensus in the community of file and storage system researchers and practitioners believ...
Commercial applications such as databases and Web servers con-stitute the largest and fastest-growin...
Abstract—Big data revolution has created an unprecedented demand for intelligent data management sol...
Hardware architecture has long influenced software architecture, and notably so in analytical datab...
There has been much research devoted to improving the performance of data analytics frameworks, but ...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
Benchmarking is critical when evaluating performance, but is especially difficult for file and stora...
Big data is characterized by volume and velocity [24], and recently several real- time stream proces...
This report carries out a relative performance comparison between two DBMS architectures on the Mult...
Includes bibliographical references (pages 37-38)The advent of big data and the need for large scale...
Two years ago, some of us wrote a paper predicting the demise of “One Size Fits All (OSFA) ” [Sto05a...
In previous papers [SC05, SBC+07], some of us predicted the end of “one size fits all ” as a commerc...
Originally Binary Large Objects (BLOBs) in databases were conceived as a means to cap-ture any large...
The shortage of adequate benchmarking facilities is a major problem in the evaluation of novel produ...
Commercial applications such as databases and Web servers con-stitute the largest and fastest-growin...
A growing consensus in the community of file and storage system researchers and practitioners believ...
Commercial applications such as databases and Web servers con-stitute the largest and fastest-growin...
Abstract—Big data revolution has created an unprecedented demand for intelligent data management sol...
Hardware architecture has long influenced software architecture, and notably so in analytical datab...
There has been much research devoted to improving the performance of data analytics frameworks, but ...
BigData revolutionised the IT industry. It first interested the OLTP systems. Distributed Hash Table...
Benchmarking is critical when evaluating performance, but is especially difficult for file and stora...
Big data is characterized by volume and velocity [24], and recently several real- time stream proces...
This report carries out a relative performance comparison between two DBMS architectures on the Mult...
Includes bibliographical references (pages 37-38)The advent of big data and the need for large scale...