Database Benchmarking is a systematic evaluation method that measures and compares the performance, scalability, and efficiency of database systems under standardized workloads to assess their operational capabilities relative to established criteria or competing systems.
219
Publications
12K
Citations
661
Authors
231
Institutions
Publications per year
2017–2026
59
Parents
Publications
219
The end of an architectural era: (it's time for a complete rewrite)
Michael Stonebraker, Samuel Madden, Daniel J. Abadi et al. · Very Large Data Bases · 2007 · 578 citations
Djellel Difallah, Andrew Pavlo, Carlo Curino et al. · Proceedings of the VLDB Endowment · 2013 · 383 citations
1–5 of 219
Authors
661
- DJ
12
h-index
- MP
10
h-index
- MS
7
h-index
- JF
6
h-index
- CT
5
h-index
1–5 of 661
Institutions
231
University of Wisconsin–Madison
Madison, United States
12 h-index
37 publications
2.8K citations
Oracle (United States)
Austin, United States
11 h-index
20 publications
1.4K citations
University of California, Berkeley
Berkeley, United States
10 h-index
30 publications
1.9K citations
University of Toronto
Toronto, Canada
8 h-index
13 publications
1.3K citations
IBM Research - Almaden
San Jose, United States
7 h-index
12 publications
1K citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
6 h-index
13 publications
487 citations
IBM (United States)
Armonk, United States
6 h-index
8 publications
498 citations
University of Waterloo
Waterloo, Canada
5 h-index
11 publications
775 citations
1–8 of 231
Venues
- Proceedings of the VLDB Endowment
PVLDB · 16 publications · 1K citations
15
h-index
- ACM SIGMOD Record
10 publications · 808 citations
10
h-index
- ACM Transactions on Database Systems
TODS · 4 publications · 483 citations
4
h-index
- arXiv (Cornell University)
Repository · 4 publications · 71 citations
4
h-index
- Distributed and Parallel Databases
3 publications · 66 citations
3
h-index
1–5