Intelligent Scaling in Amazon Redshift

Summary: AI-powered RAIS enables vertical and horizontal scaling in Redshift with dynamic compute provisioning and automatic warehouse-size tuning for varying workloads. Shows up to 7.6x cost and 14.2x query-time improvements over baselines across ad-hoc, ETL, and data-growth scenarios. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 6802
Venue: SIGMOD
Year: 2024
Pagerank: 5.4000904e-05
Overall Rank: 5,634 | 60.81%
DOI: 10.1145/3626246.3653394

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 10 of 10 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,178	Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet	2024	VLDB	7.4325992e-05
8,617	A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning	2024	VLDB	4.4846425e-05
8,798	Resource-Adaptive Query Execution with Paged Memory Management	2025	CIDR	4.4489415e-05
9,789	Eigen+: Memory Over-Subscription for Alibaba Cloud Databases	2025	SIGMOD	4.2818172e-05
10,405	Flux: Unifying Heterogeneous Infrastructure for Alibaba AnalyticDB	2025	SIGMOD	4.1945683e-05
10,408	Managed Resource Scaling in Amazon EMR	2025	SIGMOD	4.1945683e-05
10,491	Intra-Query Runtime Elasticity for Cloud-Native Data Analysis	2025	SIGMOD	4.1945683e-05
10,707	PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking	2025	VLDB	4.1945683e-05
10,726	Improving DBMS Scheduling Decisions with Accurate Performance Prediction on Concurrent Queries	2025	VLDB	4.1945683e-05
10,852	CloudGlide: Deconstructing the Landscape of Cloud-Based Analytics	2025	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
183	Automatic Database Management System Tuning Through Large-scale Machine Learning	2017	SIGMOD	0.00036721403
424	Tuning Database Configuration Parameters with iTuned	2009	VLDB	0.00023616398
640	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00018759152
1,284	Amazon Redshift Re-invented	2022	SIGMOD	0.00012837822
1,818	iCBS: Incremental Cost-based Scheduling under Piecewise Linear SLAs	2011	VLDB	0.000104336
3,216	WiSeDB: A Learning-based Workload Management Advisor for Cloud Databases	2016	VLDB	7.3601267e-05
3,753	Choosing A Cloud DBMS: Architectures and Tradeoffs	2019	VLDB	6.7871241e-05
4,593	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	6.0606891e-05
5,671	LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems	2022	SIGMOD	5.3803919e-05

Semantically Similar Papers

Overall Rank	Paper	Year	Venue	Pagerank
9,203	Intelligent Automated Workload Analysis for Database Replatforming	2022	SIGMOD	4.3740313e-05
1,322	Automated Demand-driven Resource Scaling in Relational Database-as-a-Service	2016	SIGMOD	0.00012610912
3,178	Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet	2024	VLDB	7.4325992e-05
6,659	Fast and Effective Distribution-Key Recommendation for Amazon Redshift	2020	VLDB	4.9710856e-05
10,408	Managed Resource Scaling in Amazon EMR	2025	SIGMOD	4.1945683e-05
426	Amazon Redshift and the Case for Simpler Data Warehouses	2015	SIGMOD	0.00023594359
5,832	Stage: Query Execution Time Prediction in Amazon Redshift	2024	SIGMOD	5.3111109e-05
4,593	Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift	2023	SIGMOD	6.0606891e-05
1,284	Amazon Redshift Re-invented	2022	SIGMOD	0.00012837822
3,844	The evolution of Amazon Redshift (extended abstract)	2021	VLDB	6.7076451e-05