DBScholar

Back to papers

Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation

Summary: Microbenchmark-based evaluation of graph databases; introduces a framework with the largest set of queries and operators to date. Tests on synthetic and real data at unprecedented scales; an open-source, extensible suite for extending datasets, systems, and queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12161
Venue
VLDB
Year
2019
Pagerank
6.947875e-05
Overall Rank
4,025 | 72.39%
DOI
10.14778/3297753.3297759

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{lissandrini_vldb19,
        title = {{Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation}},
        author = {Lissandrini, Matteo and Brugnara, Martin and Velegrakis, Yannis},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {4},
        pages = {390--403},
        doi = {10.14778/3297753.3297759},
        url = {https://doi.org/10.14778/3297753.3297759},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers