Nav-Index: A High-Performance, Adaptive Index for Shortest Path Queries in RDBMS
Summary: Nav-Index embeds adaptive shortest-path processing in an RDBMS, switching among Dijkstra, ad-hoc contraction hierarchies, and indexed CHs for static graphs. Integrated with SQL optimization and parallel execution, it delivers millisecond, planet-scale queries. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Maximilian Reif (Technical University of Munich)
- 2. Thomas Neumann (Technical University of Munich)
BibTeX Citation
@article{reif_vldb26,
title = {{Nav-Index: A High-Performance, Adaptive Index for Shortest Path Queries in RDBMS}},
author = {Reif, Maximilian and Neumann, Thomas},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3344--3356},
doi = {10.14778/3836663.3836693},
url = {https://doi.org/10.14778/3836663.3836693},
year = {2026}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 21 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056737487 |
| 71 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00037688945 |
| 215 | Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age | 2014 | SIGMOD | 0.00024554257 |
| 375 | Umbra: A Disk-Based System with In-Memory Performance | 2020 | CIDR | 0.00019660459 |
| 1,764 | Kuzu* Graph Database Management System | 2023 | CIDR | 9.6923285e-05 |
| 3,165 | Robust Join Processing with Diamond Hardened Joins | 2024 | VLDB | 7.5598778e-05 |
| 5,265 | DuckPGQ: Bringing SQL/PGQ to DuckDB | 2023 | VLDB | 6.1922502e-05 |
| 8,097 | Robust Recursive Query Parallelism in Graph Database Management Systems | 2025 | VLDB | 5.3739121e-05 |
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