In previous papers [SC05, SBC+07], some of us predicted the end of “one size fits all ” as a commercial relational DBMS paradigm. These papers presented reasons and experimental evidence that showed that the major RDBMS vendors can be outperformed by 1-2 orders of magnitude by specialized engines in the data warehouse, stream processing, text, and scientific database markets. Assuming that specialized engines dominate these markets over time, the current relational DBMS code lines will be left with the business data processing (OLTP) market and hybrid markets where more than one kind of capability is required. In this paper we show that current RDBMSs can be beaten by nearly two orders of magnitude in the OLTP market as well. The experiment...
Software has always ruled database engines, and commodity processors riding Moore’s Law doomed datab...
Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have b...
Managing dormant data in very large databases (VLDB) is about striking a balance between cost and pe...
Over the past thirty years since the system R and Ingres projects started to lay the foundation for ...
ABSTRACT Database system architectures are undergoing revolutionary changes. Most importantly, algor...
Two years ago, some of us wrote a paper predicting the demise of “One Size Fits All (OSFA) ” [Sto05a...
Introduced in 2007, TPC-E is the most recently standard-ized OLTP benchmark by TPC. Even though TPC-...
Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E...
ABSTRACT Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even tho...
New developments in hardware storage technology introduce fundamentally different performance charac...
The advent of multimedia computing, the World Wide Web, and objectoriented application languages has...
A study has been carried out to determine the feasibility of using commercial database management sy...
Everyone in IT is talking about DevOps and its derivatives: DevSecOps, SysOps, GitOps... and other O...
textabstractLarge memories have become an affordable storage medium for databases involving hundreds...
textabstractEach DBMS represents a solution in a design space covering hundreds of parameters. The s...
Software has always ruled database engines, and commodity processors riding Moore’s Law doomed datab...
Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have b...
Managing dormant data in very large databases (VLDB) is about striking a balance between cost and pe...
Over the past thirty years since the system R and Ingres projects started to lay the foundation for ...
ABSTRACT Database system architectures are undergoing revolutionary changes. Most importantly, algor...
Two years ago, some of us wrote a paper predicting the demise of “One Size Fits All (OSFA) ” [Sto05a...
Introduced in 2007, TPC-E is the most recently standard-ized OLTP benchmark by TPC. Even though TPC-...
Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even though TPC-E...
ABSTRACT Introduced in 2007, TPC-E is the most recently standardized OLTP benchmark by TPC. Even tho...
New developments in hardware storage technology introduce fundamentally different performance charac...
The advent of multimedia computing, the World Wide Web, and objectoriented application languages has...
A study has been carried out to determine the feasibility of using commercial database management sy...
Everyone in IT is talking about DevOps and its derivatives: DevSecOps, SysOps, GitOps... and other O...
textabstractLarge memories have become an affordable storage medium for databases involving hundreds...
textabstractEach DBMS represents a solution in a design space covering hundreds of parameters. The s...
Software has always ruled database engines, and commodity processors riding Moore’s Law doomed datab...
Relational Database Management Systems designed for Online Analytical Processing (RDBMS-OLAP) have b...
Managing dormant data in very large databases (VLDB) is about striking a balance between cost and pe...