POLARIS: The Distributed SQL Engine in Azure Synapse
Summary: Polaris re-architects Azure Synapse SQL DW to converge warehousing and big data, with compute-state separation and a novel cell data abstraction. It enables fine-grained scheduling, partial restarts, and PB-scale, T-SQL–compatible execution, shown by a 1PB 22-TPC-H run (>100TB). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Josep Aguilar-Saborit
- 2. Raghu Ramakrishnan
- 3. Krish Srinivasan
- 4. Kevin Bocksrocker
- 5. Ioannis Alagiannis
- 6. Mahadevan Sankara
- 7. Moe Shafiei
- 8. Jose Blakeley
- 9. Girish Dasarathy
- 10. Sumeet Dash
- 11. Lazar Davidovic
- 12. Maja Damjanic
- 13. Slobodan Djunic
- 14. Nemanja Djurkic
- 15. Charles Feddersen
- 16. Cesar Galindo-Legaria
- 17. Alan Halverson
- 18. Milana Kovacevic
- 19. Nikola Kicovic
- 20. Goran Lukic
- 21. Djordje Maksimovic
- 22. Ana Manic
- 23. Nikola Markovic
- 24. Bosko Mihic
- 25. Ugljesa Milic
- 26. Marko Milojevic
- 27. Tapas Nayak
- 28. Milan Potocnik
- 29. Milos Radic
- 30. Bozidar Radivojevic
- 31. Srikumar Rangarajan
- 32. Milan Ruzic
- 33. Milan Simic
- 34. Marko Sosic
- 35. Igor Stanko
- 36. Maja Stikic
- 37. Sasa Stanojkov
- 38. Vukasin Stefanovic
- 39. Milos Sukovic
- 40. Aleksandar Tomic
- 41. Dragan Tomic
- 42. Steve Toscano
- 43. Djordje Trifunovic
- 44. Veljko Vasic
- 45. Tomer Verona
- 46. Aleksandar Vujic
- 47. Nikola Vujic
- 48. Marko Vukovic
- 49. Marko Zivanovic
Incoming Citations (Sorted by Pagerank)
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,169 | PolarDB-MP: A Multi-Primary Cloud-Native Database via Disaggregated Shared Memory | 2024 | SIGMOD | 4.8120082e-05 |
| 6,136 | Scalable Progressive Analytics on Big Data in the Cloud | 2013 | VLDB | 5.1928748e-05 |
| 2,241 | Query Optimization in Microsoft SQL Server PDW | 2012 | SIGMOD | 9.2191212e-05 |
| 1,977 | Split Query Processing in Polybase | 2013 | SIGMOD | 9.8824589e-05 |
| 6,170 | PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba | 2023 | SIGMOD | 5.171601e-05 |
| 7,205 | Unified Query Optimization in the Fabric Data Warehouse | 2024 | SIGMOD | 4.8014977e-05 |
| 8,506 | New Query Optimization Techniques in the Spark Engine of Azure Synapse | 2022 | VLDB | 4.4957661e-05 |
| 2,358 | PolarDB Serverless: A Cloud Native Database for Disaggregated Data Centers | 2021 | SIGMOD | 8.9617346e-05 |
| 10,782 | From Scale-Up to Scale-Out: PolarDB's Journey to Achieving 2 Billion tpmC | 2025 | VLDB | 4.1945683e-05 |
| 8,519 | Extending Polaris to Support Transactions | 2024 | SIGMOD | 4.494088e-05 |