The evolution of Amazon Redshift (extended abstract)
Summary: Evolution of Redshift into a petabyte-scale, fully managed, columnar MPP data warehouse; architecture with leader/compute, S3-backed storage, AQUA FPGA acceleration, and CaaS codegen. Four innovations: fast vectorized code-gen; elastic storage with concurrency scaling; ML-driven autonomics; AWS integration (Spectrum, Federated Querying, SageMaker). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 156 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00040580118 |
| 167 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00039408116 |
| 424 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023604384 |
| 739 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017365933 |
| 2,542 | POLARIS: The Distributed SQL Engine in Azure Synapse | 2020 | VLDB | 8.5681631e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,971 | Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses | 2024 | SIGMOD | 4.8738633e-05 |
| 3,753 | Choosing A Cloud DBMS: Architectures and Tradeoffs | 2019 | VLDB | 6.7850001e-05 |
| 7,333 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD | 4.7541862e-05 |
| 156 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00040580118 |
| 4,592 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.056004e-05 |
| 5,643 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD | 5.3949759e-05 |
| 3,131 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB | 7.5054309e-05 |
| 5,844 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD | 5.3060581e-05 |
| 424 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023604384 |
| 1,273 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00012870386 |