Alchemy: A Query Optimization Framework for Oblivious SQL
Summary: Alchemy adapts relational optimization to oblivious SQL/MPC circuits, combining rewrites, metadata-based cardinality bounds, bushy plans, and secure-aware physical costing. Built atop VaultDB, it achieves up to 100× TPC-H speedups while preserving strong privacy. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Donghyun Sohn (Northwestern University)
- 2. Kelly Jiang (Northwestern University)
- 3. Nicolas Hammer (Northwestern University)
- 4. Jennie Rogers (Northwestern University)
BibTeX Citation
@article{sohn_vldb25,
title = {{Alchemy: A Query Optimization Framework for Oblivious SQL}},
author = {Sohn, Donghyun and Jiang, Kelly and Hammer, Nicolas and Rogers, Jennie},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {9},
pages = {3021--3034},
doi = {10.14778/3746405.3746425},
url = {https://doi.org/10.14778/3746405.3746425},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 62 | Privacy Integrated Queries: An Extensible Platform for Privacy-Preserving Data Analysis | 2009 | SIGMOD | 0.00038970535 |
| 153 | Common Expression Analysis in Database Applications | 1982 | SIGMOD | 0.00029032276 |
| 1,144 | PrivateSQL: A Differentially Private SQL Query Engine | 2019 | VLDB | 0.00011999046 |
| 1,459 | SMCQL: Secure Querying for Federated Databases | 2017 | VLDB | 0.00010717725 |
| 2,045 | Efficient Oblivious Database Joins | 2020 | VLDB | 9.2632279e-05 |
| 2,202 | Quantifying TPC-H Choke Points and Their Optimizations | 2020 | VLDB | 8.9639459e-05 |
| 2,573 | Secure Yannakakis: Join-Aggregate Queries over Private Data | 2021 | SIGMOD | 8.4015654e-05 |
| 2,597 | The MemSQL Query Optimizer: A modern optimizer for real-time analytics in a distributed database | 2016 | VLDB | 8.3604418e-05 |
| 6,010 | ZKSQL: Verifiable and Efficient Query Evaluation with Zero-Knowledge Proofs | 2023 | VLDB | 6.0112251e-05 |
| 11,495 | RESCU-SQL: Oblivious Querying for the Zero Trust Cloud | 2023 | VLDB | 5.093636e-05 |
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