Unified Query Optimization in the Fabric Data Warehouse
Summary: Fabric DW refines the PDW-origin cost-based optimizer for cloud-native, serverless, and compute/storage-separated architectures. The paper catalogs the optimization changes, contrasts with PDW, and validates the approach on real workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nicolas Bruno (Microsoft)
- 2. César Galindo-Legaria (Microsoft)
- 3. Milind Joshi (Microsoft)
- 4. Esteban Calvo Vargas (Microsoft)
- 5. Kabita Mahapatra (Microsoft)
- 6. Sharon Ravindran (Microsoft)
- 7. Guoheng Chen (Microsoft)
- 8. Ernesto Cervantes Juárez (Microsoft)
- 9. Beysim Sezgin (Microsoft)
BibTeX Citation
@inproceedings{bruno_sigmod24,
title = {{Unified Query Optimization in the Fabric Data Warehouse}},
author = {Bruno, Nicolas and Galindo-Legaria, César and Joshi, Milind and Vargas, Esteban Calvo and Mahapatra, Kabita and Ravindran, Sharon and Chen, Guoheng and Juárez, Ernesto Cervantes and Sezgin, Beysim},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626246.3653369},
url = {https://dl.acm.org/doi/10.1145/3626246.3653369},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,991 | Terabyte-Scale Analytics in the Blink of an Eye | 2026 | VLDB | 5.9219616e-05 |
| 6,579 | Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? | 2025 | CIDR | 5.7421583e-05 |
| 8,793 | Extending Polaris to Support Transactions | 2024 | SIGMOD | 5.2747014e-05 |
| 9,690 | The HANA Native Query Engine for Lakehouse Systems | 2025 | VLDB | 5.1399285e-05 |
| 10,320 | veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System | 2025 | VLDB | 5.0362412e-05 |
| 10,368 | I Can't Believe It's Not Yannakakis: Pragmatic Bitmap Filters in Microsoft SQL Server | 2026 | CIDR | 4.9769913e-05 |
| 10,371 | Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! | 2026 | CIDR | 4.9769913e-05 |
| 10,960 | QueryBrew: System-Agnostic SQL-to-SQL Query Optimization | 2026 | VLDB | 4.9769913e-05 |
| 11,140 | Query Decorrelation in the Fabric Data Warehouse | 2025 | SIGMOD | 4.9769913e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0023943337 |
| 52 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00041210636 |
| 681 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.0001482366 |
| 1,135 | Dremel: A Decade of Interactive SQL Analysis at Web Scale | 2020 | VLDB | 0.00011886308 |
| 1,277 | Orca: A Modular Query Optimizer Architecture for Big Data | 2014 | SIGMOD | 0.00011234276 |
| 1,790 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.6227952e-05 |
| 2,089 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.0635188e-05 |
| 4,830 | Cloud-Native Transactions and Analytics in SingleStore | 2022 | SIGMOD | 6.3885902e-05 |
| 5,733 | The Query Optimizer in Tandem’s new ServerWare SQL Product | 1996 | VLDB | 6.0112571e-05 |
| 8,793 | Extending Polaris to Support Transactions | 2024 | SIGMOD | 5.2747014e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,628 | Parallelizing Query Optimization on Shared-Nothing Architectures | 2016 | VLDB |
| 2 | 1,034 | A Scalable, Predictable Join Operator for Highly Concurrent Data Warehouses | 2009 | VLDB |
| 3 | 7,163 | Cost-Intelligent Data Analytics in the Cloud | 2024 | CIDR |
| 4 | 12,092 | A Framework for Emulating Database Operations in Cloud Data Warehouses | 2020 | SIGMOD |
| 5 | 2,213 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB |
| 6 | 8,192 | Progressive Optimization in a Shared-Nothing Parallel Database | 2007 | SIGMOD |
| 7 | 4,820 | Continuous Cloud-Scale Query Optimization and Processing | 2013 | VLDB |
| 8 | 6,579 | Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? | 2025 | CIDR |
| 9 | 11,140 | Query Decorrelation in the Fabric Data Warehouse | 2025 | SIGMOD |
| 10 | 2,089 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD |