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JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models

Summary: Proposes JSON Relational Duality and Duality Views to access JSON atop relational data, enabling shared data with no duplication. A value-based optimistic concurrency protocol enables REST-like APIs with transactional consistency; shows Oracle DB 23ai. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7166
Venue
SIGMOD
Year
2025
Pagerank
5.6533762e-05
Overall Rank
7,293 | 49.97%
DOI
10.1145/3722212.3724441

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gugnani_sigmod25,
        title = {{JSON Relational Duality: A Revolutionary Combination of Document, Object, and Relational Models}},
        author = {Gugnani, Shashank and Liu, Zhenhua and Chang, Hui and Hammerschmidt, Beda Christoph and Kareenhalli, Srinivas and Kumar, Kishy and Lahiri, Tirthankar and Lu, Ying and McMahon, Douglas and Mylavarapu, Ajit and Pendse, Sukhada and Raghavan, Ananth},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3724441},
        url = {https://dl.acm.org/doi/10.1145/3722212.3724441},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,117 Semantic Data Modeling, Graph Query, and SQL, Together at Last? 2026 CIDR 5.093636e-05
10,699 Scalable Execution of Application Logic within Everest BusinessStore 2025 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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