WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses
Summary: WarpGate: embedding-based semantic join discovery for cloud data warehouses—maps columns into vectors so transformable, cross-database join relationships appear as proximity rather than exact syntactic matches. Prototype is sample-efficient, scales to millions of rows, and integrated into an enterprise analytics product. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Tianji Cong (University of Michigan)
- 2. James Gale (Sigma Computing)
- 3. Jason Frantz (Sigma Computing)
- 4. H. V. Jagadish (University of Michigan)
- 5. Çağatay Demiralp (Sigma Computing)
BibTeX Citation
@inproceedings{cong_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Cong, Tianji and Gale, James and Frantz, Jason and Jagadish, H. V. and Demiralp, Çağatay},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,854 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 9.4961138e-05 |
| 5,322 | Observatory: Characterizing Embeddings of Relational Tables | 2024 | VLDB | 6.1809951e-05 |
| 8,582 | OmniMatch: Joinability Discovery in Data Products | 2025 | VLDB | 5.3097022e-05 |
| 10,684 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD | 4.9769913e-05 |
| 10,826 | FedAugment: Table Augmentation Search over Decentralized Data Repositories | 2026 | VLDB | 4.9769913e-05 |
| 10,903 | MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery | 2026 | VLDB | 4.9769913e-05 |
| 11,303 | OpenForge: Probabilistic Metadata Integration | 2025 | VLDB | 4.9769913e-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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 20 | Similarity Search in High Dimensions via Hashing | 1999 | VLDB | 0.0005758001 |
| 377 | TURL: Table Understanding through Representation Learning | 2021 | VLDB | 0.00019564011 |
| 694 | JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes | 2019 | SIGMOD | 0.00014721161 |
| 765 | Table Union Search on Open Data | 2018 | VLDB | 0.00014119196 |
| 1,293 | Finding Related Tables in Data Lakes for Interactive Data Science | 2020 | SIGMOD | 0.00011144991 |
| 2,093 | Sato: Contextual Semantic Type Detection in Tables | 2020 | VLDB | 9.0593586e-05 |
| 2,927 | Organizing Data Lakes for Navigation | 2020 | SIGMOD | 7.8407133e-05 |
| 5,018 | Discovering Related Data At Scale | 2021 | VLDB | 6.3107365e-05 |
| 5,138 | Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel | 2014 | VLDB | 6.2561301e-05 |
| 8,278 | Sigma Workbook: A Spreadsheet for Cloud Data Warehouses | 2022 | VLDB | 5.3617864e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,279 | MATE: Multi-Attribute Table Extraction | 2022 | VLDB |
| 2 | 10,199 | Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees | 2026 | VLDB |
| 3 | 7,199 | Cross Modal Data Discovery over Structured and Unstructured Data Lakes | 2023 | VLDB |
| 4 | 2,613 | Auto-Join: Joining Tables by Leveraging Transformations | 2017 | VLDB |
| 5 | 5,211 | SAM: Database Generation from Query Workloads with Supervised Autoregressive Models | 2022 | SIGMOD |
| 6 | 8,416 | Fast Approximate Similarity Join in Vector Databases | 2025 | SIGMOD |
| 7 | 1,854 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB |
| 8 | 10,903 | MosaicJoin: Compact Semantic Sketches for Value-Level Join Discovery | 2026 | VLDB |
| 9 | 2,378 | DeepJoin: Joinable Table Discovery with Pre-trained Language Models | 2023 | VLDB |
| 10 | 10,684 | Qualitative Join Discovery in Data Lakes using Examples | 2026 | SIGMOD |