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 30 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 |
|---|---|---|---|---|
| 21 | C-Store: A Column-oriented DBMS | 2005 | VLDB | 0.00086087497 |
| 35 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.00076197749 |
| 60 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00064439773 |
| 87 | Hekaton: SQL Server’s Memory-Optimized OLTP Engine | 2013 | SIGMOD | 0.00052389723 |
| 131 | Integrating Compression and Execution in Column-Oriented Database Systems | 2006 | SIGMOD | 0.0004370331 |
| 216 | A Class of Data Structures for Associative Searching | 1984 | PODS | 0.00033542705 |
| 368 | Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing | 1998 | VLDB | 0.000254931 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,337 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD | 4.7584825e-05 |
| 6,972 | Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses | 2024 | SIGMOD | 4.8785237e-05 |
| 4,593 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.0606891e-05 |
| 3,753 | Choosing A Cloud DBMS: Architectures and Tradeoffs | 2019 | VLDB | 6.7871241e-05 |
| 5,832 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD | 5.3111109e-05 |
| 5,634 | Intelligent Scaling in Amazon Redshift | 2024 | SIGMOD | 5.4000904e-05 |
| 6,659 | Fast and Effective Distribution-Key Recommendation for Amazon Redshift | 2020 | VLDB | 4.9710856e-05 |
| 3,178 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB | 7.4325992e-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 |