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
No non-self incoming citations found for this paper in this database.
Authors
- 1. Lyublena Antova
- 2. Rhonda Baldwin
- 3. Derrick Bryant
- 4. Tuan Cao
- 5. Michael Duller
- 6. John Eshleman
- 7. Zhongxian Gu
- 8. Entong Shen
- 9. Mohamed A. Soliman
- 10. F. Michael Waas
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,840 | Rapid Adoption of Cloud Data Warehouse Technology Using Datometry Hyper-Q | 2018 | SIGMOD | 4.2739372e-05 |
| 11,588 | A Framework for Emulating Database Operations in Cloud Data Warehouses | 2020 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
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 |
|---|---|---|---|---|
| 426 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023594359 |
| 2,249 | Orca: A Modular Query Optimizer Architecture for Big Data | 2014 | SIGMOD | 9.2034693e-05 |
| 3,066 | HAWQ: A Massively Parallel Processing SQL Engine in Hadoop | 2014 | SIGMOD | 7.6221974e-05 |
| 6,120 | Lots o' Ticks: real-time high performance time series queries on billions of trades and quotes | 2001 | SIGMOD | 5.2008141e-05 |
Previous
Page 1 / 1
Next