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TurboLynx in Action: A Schemaless Graph Engine for General-Purpose Analytics

Summary: Interactive demonstration of TurboLynx, a schemaless graph engine optimizing heterogeneous property graphs. Shows early pruning for sparse-property predicates and compact planning/intermediates for multi-hop aggregation, reducing scans, plan-space blowup, null-heavy data, and latency. (summarized by gpt-5.6-luna on Aug 28 2026)

Paper ID
h9a7495047c43b4c9
Venue
VLDB
Year
2026
Pagerank
4.9793485e-05
Overall Rank
11,018 | 25.93%
DOI
10.14778/3827998.3828133

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Authors

BibTeX Citation

@article{lee_vldb26,
        title = {{TurboLynx in Action: A Schemaless Graph Engine for General-Purpose Analytics}},
        author = {Lee, Taesung and Ha, Jaehyun and Tak, Byungchul and Han, Wook-Shin},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {12},
        pages = {4830--4833},
        doi = {10.14778/3827998.3828133},
        url = {https://doi.org/10.14778/3827998.3828133},
        year = {2026}
}

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Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
419 Cypher: An Evolving Query Language for Property Graphs 2018 SIGMOD 0.0001854669
1,276 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 0.00011239266
10,710 TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics 2026 VLDB 4.9793485e-05
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