The evolution of Amazon Redshift (extended abstract)
Summary: Traces Redshift’s evolution from managed, columnar MPP warehousing to exabyte-scale cloud analytics. Highlights innovations including managed storage, AQUA, vectorization/code generation, elastic and concurrency scaling, ML optimization, data sharing, and AWS integrations. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ippokratis Pandis (Amazon)
BibTeX Citation
@article{pandis_vldb21,
title = {{The evolution of Amazon Redshift (extended abstract)}},
author = {Pandis, Ippokratis},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {3162--3163},
doi = {10.14778/3476311.3476391},
url = {https://doi.org/10.14778/3476311.3476391},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 11 of 11 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 52 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00041219077 |
| 63 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00038531147 |
| 233 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023783585 |
| 459 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017856221 |
| 1,790 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 9.6272006e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,966 | Choosing A Cloud DBMS: Architectures and Tradeoffs | 2019 | VLDB |
| 2 | 7,300 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD |
| 3 | 63 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD |
| 4 | 3,563 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD |
| 5 | 4,666 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD |
| 6 | 1,839 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB |
| 7 | 5,214 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD |
| 8 | 10,909 | Incremental Query Optimizer Statistics in Amazon Redshift | 2026 | VLDB |
| 9 | 233 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD |
| 10 | 680 | Amazon Redshift Re-invented | 2022 | SIGMOD |