Synergistic Graph and SQL Analytics Inside IBM Db2
Summary: Db2 Graph provides an in-DBMS graph query layer overlaying relational data to expose a graph view without moving data. It enables synergistic graph and SQL analytics inside Db2, avoiding export to external graph stores. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuanyuan Tian (IBM)
- 2. Sui Jun Tong (IBM)
- 3. Mir Hamid Pirahesh (IBM)
- 4. Wen Sun (IBM)
- 5. En Liang Xu (IBM)
- 6. Wei Zhao (IBM)
BibTeX Citation
@article{tian_vldb19,
title = {{Synergistic Graph and SQL Analytics Inside IBM Db2}},
author = {Tian, Yuanyuan and Tong, Sui Jun and Pirahesh, Mir Hamid and Sun, Wen and Xu, En Liang and Zhao, Wei},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1782--1785},
doi = {10.14778/3352063.3352065},
url = {https://doi.org/10.14778/3352063.3352065},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,721 | IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2 | 2020 | SIGMOD | 6.1090232e-05 |
| 9,944 | Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ | 2025 | VLDB | 5.1915905e-05 |
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Outgoing Citations (Sorted by Pagerank)
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 |
|---|---|---|---|---|
| 1,591 | SQLGraph: An Efficient Relational-Based Property Graph Store | 2015 | SIGMOD | 0.00010255536 |
| 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 8.0350257e-05 |
| 4,340 | GRFusion: Graphs as First-Class Citizens in Main-Memory Relational Database Systems | 2018 | SIGMOD | 6.7539375e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 7,769 | G-SQL: Fast Query Processing via Graph Exploration | 2016 | VLDB |
| 2 | 7,610 | Using Domain-Specific Languages For Analytic Graph Databases | 2016 | VLDB |
| 3 | 11,067 | Machine Learning for Graph Data Management and Query Processing | 2025 | VLDB |
| 4 | 6,387 | Modern Techniques for Querying Graph-Structured Relations: Foundations, System Implementations, and Open Challenges | 2022 | VLDB |
| 5 | 12,189 | Graph-based Data Integration and Business Intelligence with BIIIG | 2014 | VLDB |
| 6 | 7,887 | Graph Data Management Systems for New Application Domains | 2011 | VLDB |
| 7 | 4,973 | GraphGen: Exploring Interesting Graphs in Relational Data | 2015 | VLDB |
| 8 | 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD |
| 9 | 3,872 | All-in-One: Graph Processing in RDBMSs Revisited | 2017 | SIGMOD |
| 10 | 5,721 | IBM Db2 Graph: Supporting Synergistic and Retrofittable Graph Queries Inside IBM Db2 | 2020 | SIGMOD |