Virtualizing Cloud Data Infrastructures with BRAD
Summary: BRAD enables declarative, automated cloud data virtualization via VDBEs declaring SQL dialects, perf, and tables. Planner maps VDBEs to engines by workload and budget, enabling colocation, dialect compatibility, and snapshots for multi-engine designs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Geoffrey X. Yu
- 2. Ziniu Wu
- 3. Amadou Latyr Ngom
- 4. Ferdi Kossmann
- 5. Sophie Zhang
- 6. Tianyu Li
- 7. Tim Kraska
- 8. Markos Markakis
- 9. Samuel Madden
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059038975 |
| 7,990 | Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD | 2024 | VLDB | 4.6117441e-05 |
| 9,917 | Check Out the Big Brain on BRAD: Simplifying Cloud Data Processing with Learned Automated Data Meshes | 2023 | VLDB | 4.2561557e-05 |
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