Extending Polaris to Support Transactions
Summary: Extends Polaris from read-only analytics to full ACID transactions for Tier-1 warehousing (updates/inserts/deletes/bulk loads) with strong performance. Leverages immutable log-structured storage and SQL Server transaction management to enable multi-table, multi-statement transactions with Snapshot Isolation in Microsoft Fabric, unifying query processing and T-SQL. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Josep Aguilar-Saborit (Microsoft)
- 2. Konstantin Kosinsky (Microsoft)
- 3. Haris Mahmood Ansari (Microsoft)
- 4. Phil Kon Kim (Microsoft)
- 5. Sumin Mohanan (Microsoft)
- 6. Raghu Ramakrishnan (Microsoft)
- 7. Ryan O'Connor (Microsoft)
- 8. Bogdan Crivat (Microsoft)
- 9. Ishan Rajesh Madan (Microsoft)
- 10. Cristian Petculescu (Microsoft)
- 11. Kevin Bocksrocker (Microsoft)
- 12. Nadejda Poliakova (Microsoft)
- 13. Conor Cunningham (Microsoft)
- 14. Blazej Matuszyk (Microsoft)
- 15. Emma Rose Wirshing (Microsoft)
- 16. Alan Halverson (Microsoft)
- 17. Moe Shafiei (Microsoft)
- 18. Taewoo Kim (Microsoft)
- 19. Matt Miles (Microsoft)
- 20. Elias Yousefi Amin Abadi (Microsoft)
BibTeX Citation
@inproceedings{aguilarsaborit_sigmod24,
title = {{Extending Polaris to Support Transactions}},
author = {Aguilar-Saborit, Josep and Kosinsky, Konstantin and Ansari, Haris Mahmood and Kim, Phil Kon and Mohanan, Sumin and Ramakrishnan, Raghu and O'Connor, Ryan and Crivat, Bogdan and Madan, Ishan Rajesh and Petculescu, Cristian and Bocksrocker, Kevin and Poliakova, Nadejda and Cunningham, Conor and Matuszyk, Blazej and Wirshing, Emma Rose and Halverson, Alan and Shafiei, Moe and Kim, Taewoo and Miles, Matt and Abadi, Elias Yousefi Amin},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3626246.3635392},
url = {https://dl.acm.org/doi/10.1145/3626246.3635392},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,055 | Unified Query Optimization in the Fabric Data Warehouse | 2024 | SIGMOD | 5.7170734e-05 |
| 9,378 | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes | 2025 | SIGMOD | 5.2755515e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00069513174 |
| 19 | A Critique of ANSI SQL Isolation Levels | 1995 | SIGMOD | 0.00058720861 |
| 51 | Dremel: Interactive Analysis of Web-Scale Datasets | 2010 | VLDB | 0.0004291425 |
| 66 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00038561587 |
| 345 | Column-Stores vs. Row-Stores: How Different Are They Really? | 2008 | SIGMOD | 0.00020656723 |
| 520 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017136828 |
| 1,925 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.4764398e-05 |
| 2,078 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.2078209e-05 |
| 2,477 | Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics | 2017 | SIGMOD | 8.5239378e-05 |
| 7,055 | Unified Query Optimization in the Fabric Data Warehouse | 2024 | SIGMOD | 5.7170734e-05 |
| 8,467 | LST-Bench: Benchmarking Log-Structured Tables in the Cloud | 2024 | SIGMOD | 5.4187125e-05 |
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