Amazon Redshift and the Case for Simpler Data Warehouses
Summary: Redshift champions simplicity as the core differentiator for data warehouses, offering fast, fully managed, petabyte-scale MPP with easy buying, tuning, and management for analytics. Targets mass-market adoption and experimentation, not only enterprises. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anurag Gupta
- 2. Deepak Agarwal
- 3. Derek Tan
- 4. Jakub Kulesza
- 5. Rahul Pathak
- 6. Stefano Stefani
- 7. Vidhya Srinivasan
Incoming Citations (Sorted by Pagerank)
Showing 50 of 80 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 20 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086163998 |
| 35 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.00076209479 |
| 59 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.0006445664 |
| 87 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00052844656 |
| 132 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.00043697853 |
| 217 | A Class of Data Structures for Associative Searching | 1984 | PODS | 0.00033533621 |
| 367 | Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing | 1998 | VLDB | 0.00025518228 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,333 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD | 4.7541862e-05 |
| 6,971 | Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses | 2024 | SIGMOD | 4.8738633e-05 |
| 4,592 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.056004e-05 |
| 3,753 | Choosing A Cloud DBMS: Architectures and Tradeoffs | 2019 | VLDB | 6.7850001e-05 |
| 5,844 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD | 5.3060581e-05 |
| 5,643 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD | 5.3949759e-05 |
| 6,655 | Fast and Effective Distribution-Key Recommendation for Amazon Redshift | 2020 | VLDB | 4.9693109e-05 |
| 3,131 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB | 7.5054309e-05 |
| 1,273 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00012870386 |
| 3,838 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 6.7113252e-05 |