Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics
Summary: Hyper-Q is a data virtualization layer enabling Q-based real-time analytics to run natively on PostgreSQL-compatible databases via on-the-fly query translation. It supports coexisting real-time and historical data without dual stacks, addressing data-type/semantic gaps and auth emulation; a case study validates viability. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Lyublena Antova (Datometry)
- 2. Rhonda Baldwin (Datometry)
- 3. Derrick Bryant (Datometry)
- 4. Tuan Cao (Datometry)
- 5. Michael Duller (Datometry)
- 6. John Eshleman (Datometry)
- 7. Zhongxian Gu (Datometry)
- 8. Entong Shen (Datometry)
- 9. Mohamed A. Soliman (Datometry)
- 10. F. Michael Waas (Datometry)
BibTeX Citation
@inproceedings{antova_sigmod16,
title = {{Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics}},
author = {Antova, Lyublena and Baldwin, Rhonda and Bryant, Derrick and Cao, Tuan and Duller, Michael and Eshleman, John and Gu, Zhongxian and Shen, Entong and Soliman, Mohamed A. and Waas, F. Michael},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2903739},
url = {https://dl.acm.org/doi/10.1145/2882903.2903739},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,988 | Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q | 2018 | SIGMOD | 5.1831838e-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 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 237 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.0002369895 |
| 1,621 | Orca: A Modular Query Optimizer Architecture for Big Data | 2014 | SIGMOD | 0.00010203114 |
| 2,850 | HAWQ: A Massively Parallel Processing SQL Engine in Hadoop | 2014 | SIGMOD | 8.0499212e-05 |
| 6,379 | Lots o' Ticks: real-time high performance time series queries on billions of trades and quotes | 2001 | SIGMOD | 5.8927673e-05 |
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