Kuzu* Graph Database Management System
Summary: Kuzu: open-source GDBMS unifying storage, indexes and a factorized query processor for graph workloads (m‑n, cyclic, recursive joins; semi-structured data; URIs). Novelty: dual goals—m‑n-friendly factorization and scan-efficient execution—realized by complementary binary and worst‑case‑optimal multiway join operators. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xiyang Feng (University of Waterloo)
- 2. Guodong Jin (University of Waterloo)
- 3. Ziyi Chen (University of Waterloo)
- 4. Chang Liu (University of Waterloo)
- 5. Semih Salihoğlu (University of Waterloo)
BibTeX Citation
@inproceedings{feng_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Kuzu* Graph Database Management System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Feng, Xiyang and Jin, Guodong and Chen, Ziyi and Liu, Chang and Salihoğlu, Semih},
year = {2023}
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Semantically Similar Papers
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|---|---|---|---|---|
| 1 | 10,011 | A Graph Method for Keyword-based Selection of the top-K Databases | 2008 | SIGMOD |
| 2 | 3,805 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD |
| 3 | 8,652 | Optimizing Schema-Last Tuple-Store Queries in Graphd | 2010 | SIGMOD |
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| 5 | 8,667 | Making RDBMSs Efficient on Graph Workloads Through Predefined Joins | 2022 | VLDB |
| 6 | 1,603 | Adopting Worst-Case Optimal Joins in Relational Database Systems | 2020 | VLDB |
| 7 | 6,501 | Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges | 2022 | VLDB |
| 8 | 6,734 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB |
| 9 | 3,215 | Columnar Storage and List-based Processing for Graph Database Management Systems | 2021 | VLDB |
| 10 | 8,097 | Robust Recursive Query Parallelism in Graph Database Management Systems | 2025 | VLDB |