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POLARIS: The Distributed SQL Engine in Azure Synapse

Summary: Polaris re-architects Azure Synapse’s SQL DW engine for cloud-native separation of compute and state, unifying relational and big-data workloads. Its cell abstraction, fine-grained scheduling, partial restarts, and retained T-SQL/SQL Server compatibility enable elastic PB-scale execution. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12391
Venue
VLDB
Year
2020
Pagerank
9.4764398e-05
Overall Rank
1,925 | 86.80%
DOI
10.14778/3415478.3415545

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{aguilarsaborit_vldb20,
        title = {{POLARIS: The Distributed SQL Engine in Azure Synapse}},
        author = {Aguilar-Saborit, Josep and Ramakrishnan, Raghu and Srinivasan, Krish and Bocksrocker, Kevin and Alagiannis, Ioannis and Sankara, Mahadevan and Shafiei, Moe and Blakeley, Jose and Dasarathy, Girish and Dash, Sumeet and Davidovic, Lazar and Damjanic, Maja and Djunic, Slobodan and Djurkic, Nemanja and Feddersen, Charles and Galindo-Legaria, Cesar and Halverson, Alan and Kovacevic, Milana and Kicovic, Nikola and Lukic, Goran and Maksimovic, Djordje and Manic, Ana and Markovic, Nikola and Mihic, Bosko and Milic, Ugljesa and Milojevic, Marko and Nayak, Tapas and Potocnik, Milan and Radic, Milos and Radivojevic, Bozidar and Rangarajan, Srikumar and Ruzic, Milan and Simic, Milan and Sosic, Marko and Stanko, Igor and Stikic, Maja and Stanojkov, Sasa and Stefanovic, Vukasin and Sukovic, Milos and Tomic, Aleksandar and Tomic, Dragan and Toscano, Steve and Trifunovic, Djordje and Vasic, Veljko and Verona, Tomer and Vujic, Aleksandar and Vujic, Nikola and Vukovic, Marko and Zivanovic, Marko},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {3204--3216},
        doi = {10.14778/3415478.3415545},
        url = {https://doi.org/10.14778/3415478.3415545},
        year = {2020}
}

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818 Amazon Redshift Re-invented 2022 SIGMOD 0.00013822916
2,788 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.1205155e-05
2,865 End-to-end Optimization of Machine Learning Prediction Queries 2022 SIGMOD 8.0180243e-05
3,585 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.2840127e-05
4,079 Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System 2022 VLDB 6.9188052e-05
4,103 Exploiting Cloud Object Storage for High-Performance Analytics 2023 VLDB 6.8993506e-05
4,861 CXL and the Return of Scale-Up Database Engines 2024 VLDB 6.4747307e-05
5,109 The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation 2023 VLDB 6.3615847e-05
5,805 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 6.0822211e-05
6,939 Multi-Tenant Cloud Data Services: State-of-the-Art, Challenges and Opportunities 2022 SIGMOD 5.7338637e-05
7,055 Unified Query Optimization in the Fabric Data Warehouse 2024 SIGMOD 5.7170734e-05
7,341 Understanding the Performance Implications of the Design Principles in Storage-Disaggregated Databases 2024 SIGMOD 5.6390976e-05
7,560 Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools 2023 SIGMOD 5.5984517e-05
7,959 Terabyte-Scale Analytics in the Blink of an Eye 2026 VLDB 5.5181056e-05
8,708 Extending Polaris to Support Transactions 2024 SIGMOD 5.3794896e-05
8,864 Pipemizer: An Optimizer for Analytics Data Pipelines 2022 VLDB 5.355022e-05
8,927 Hyperspace: The Indexing Subsystem of Azure Synapse 2021 VLDB 5.3483178e-05
9,154 On-Demand State Separation for Cloud Data Warehousing 2022 VLDB 5.3123022e-05
9,468 Disaggregated State Management in Apache Flink 2.0 2025 VLDB 5.2634238e-05
9,767 TracEx: Understanding and Analyzing Database Traces 2024 CIDR 5.2212078e-05
10,000 Saving Money for Analytical Workloads in the Cloud 2024 VLDB 5.1814573e-05
10,121 End-to-End Declarative Data Analytics: Co-designing Engines, Interfaces, and Cloud Infrastructure 2026 CIDR 5.093636e-05
10,306 Workload-Aware Incremental Reclustering in Cloud Data Warehouses 2026 SIGMOD 5.093636e-05
10,491 Reducing Tail Latency in Storage-Disaggregated Database Systems 2026 SIGMOD 5.093636e-05
10,690 Dynamic Pruning for Recursive Joins 2025 SIGMOD 5.093636e-05
10,957 Towards Designing Future-Proof Data Processing Systems 2025 VLDB 5.093636e-05
11,076 CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics 2025 VLDB 5.093636e-05
11,273 OLAP on Modern Chiplet-Based Processors 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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