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Using Domain-Specific Languages For Analytic Graph Databases

Summary: Two DSLs for graphs: one for graph-analysis algorithms, one for graph-pattern matching queries; integrated with robust graph storage and an analytics engine. Removes API invocation overhead and enables compiler-level optimizations for flexible, high-performance analytics and queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11423
Venue
VLDB
Year
2016
Pagerank
5.5838483e-05
Overall Rank
7,610 | 47.79%
DOI
10.14778/3007263.3007276

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{sevenich_vldb16,
        title = {{Using Domain-Specific Languages For Analytic Graph Databases}},
        author = {Sevenich, Martin and Hong, Sungpack and van Rest, Oskar and Wu, Zhe and Banerjee, Jayanta and Chafi, Hassan},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1257--1260},
        doi = {10.14778/3007263.3007276},
        url = {https://doi.org/10.14778/3007263.3007276},
        year = {2016}
}

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