Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q
Summary: Datometry Hyper-Q virtualization enables native execution of existing apps on cloud data warehouses. Rapid cloud adoption in months, not years, demonstrated via customer use cases validating performance and cross-platform compatibility. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Lyublena Antova (Datometry)
- 2. Derrick Bryant (Datometry)
- 3. Tuan Cao (Datometry)
- 4. Michael Duller (Datometry)
- 5. Mohamed A. Soliman (Datometry)
- 6. Florian M. Waas (Datometry)
BibTeX Citation
@inproceedings{antova_sigmod18,
title = {{Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q}},
author = {Antova, Lyublena and Bryant, Derrick and Cao, Tuan and Duller, Michael and Soliman, Mohamed A. and Waas, Florian M.},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3190652},
url = {https://dl.acm.org/doi/10.1145/3183713.3190652},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,755 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 5.5519655e-05 |
| 9,283 | Intelligent Automated Workload Analysis for Database Replatforming | 2022 | SIGMOD | 5.2925877e-05 |
| 11,784 | A Framework for Emulating Database Operations in Cloud Data Warehouses | 2020 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 66 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00038561587 |
| 237 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.0002369895 |
| 2,078 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.2078209e-05 |
| 2,449 | A Demonstration of the BigDAWG Polystore System | 2015 | VLDB | 8.5677637e-05 |
| 3,275 | Optimizing Analytic Data Flows for Multiple Execution Engines | 2012 | SIGMOD | 7.5747814e-05 |
| 5,630 | The MYRIAD Federated Database Prototype | 1994 | SIGMOD | 6.1428621e-05 |
| 5,659 | POP/FED: Progressive Query Optimization for Federated Queries in DB2 | 2006 | VLDB | 6.1311315e-05 |
| 12,046 | Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics | 2016 | SIGMOD | 5.093636e-05 |
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