Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ
Summary: Chimera combines PostgreSQL’s relational store with a topology-aware graph store, treating graph structure as first-class rather than a materialized view. Its unified Traversal-Join plans interleave graph traversal and relational joins for scalable, high-throughput SQL/PGQ. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Geonho Lee (Korea Advanced Institute of Science and Technology)
- 2. Jeongho Park (GraphAI)
- 3. Min-Soo Kim (Korea Advanced Institute of Science and Technology)
BibTeX Citation
@article{lee_vldb25,
title = {{Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ}},
author = {Lee, Geonho and Park, Jeongho and Kim, Min-Soo},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {2},
pages = {279--292},
doi = {10.14778/3705829.3705845},
url = {https://doi.org/10.14778/3705829.3705845},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,998 | Aquila: A High-Concurrency System for Incremental Graph Query | 2026 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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