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
- 2. Derrick Bryant
- 3. Tuan Cao
- 4. Michael Duller
- 5. Mohamed A. Soliman
- 6. Florian M. Waas
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,990 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 4.6117441e-05 |
| 9,203 | Intelligent Automated Workload Analysis for Database Replatforming | 2022 | SIGMOD | 4.3740313e-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 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 |
|---|---|---|---|---|
| 167 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00039180521 |
| 426 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023594359 |
| 1,820 | A Demonstration of the BigDAWG Polystore System | 2015 | VLDB | 0.00010428281 |
| 2,241 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.2191212e-05 |
| 3,710 | Optimizing Analytic Data Flows for Multiple Execution Engines | 2012 | SIGMOD | 6.8238962e-05 |
| 5,975 | The MYRIAD Federated Database Prototype | 1994 | SIGMOD | 5.2461057e-05 |
| 6,049 | POP/FED: Progressive Query Optimization for Federated Queries in DB2 | 2006 | VLDB | 5.2360942e-05 |
| 11,845 | Datometry Hyper-Q: Bridging the Gap Between Real-Time and Historical Analytics | 2016 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next