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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)

Paper ID
he4c2a608b04afdcf
Venue
SIGMOD
Year
2015
Pagerank
0.00023783585
Overall Rank
233 | 98.44%
DOI
10.1145/2723372.2742795

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{gupta_sigmod15,
        title = {{Amazon Redshift and the Case for Simpler Data Warehouses}},
        author = {Gupta, Anurag and Agarwal, Deepak and Tan, Derek and Kulesza, Jakub and Pathak, Rahul and Stefani, Stefano and Srinivasan, Vidhya},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2742795},
        url = {https://dl.acm.org/doi/10.1145/2723372.2742795},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 50 of 83 citing papers.

Rank Citing Paper Year Venue Pagerank
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041219077
341 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020539791
680 Amazon Redshift Re-invented 2022 SIGMOD 0.00014828697
1,423 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.00010719956
1,462 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.0001058099
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6272006e-05
1,791 Greenplum: A Hybrid Database for Transactional and Analytical Workloads 2021 SIGMOD 9.6259014e-05
1,829 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5510333e-05
1,973 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2834606e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.8206114e-05
2,314 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6533171e-05
2,484 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3993882e-05
2,915 F1 Query: Declarative Querying at Scale 2018 VLDB 7.8616593e-05
2,966 Choosing A Cloud DBMS: Architectures and Tradeoffs 2019 VLDB 7.8039817e-05
3,081 Skipping-oriented Partitioning for Columnar Layouts 2017 VLDB 7.6653727e-05
3,446 Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing 2019 SIGMOD 7.2942885e-05
3,520 FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS 2021 VLDB 7.2360022e-05
3,647 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1375005e-05
3,649 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.1344087e-05
3,808 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0097354e-05
3,900 Adore: Differentially Oblivious Relational Database Operators 2023 VLDB 6.9344494e-05
3,928 Big Metadata: When Metadata is Big Data 2021 VLDB 6.9192051e-05
3,930 Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System 2022 VLDB 6.9185978e-05
3,985 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8730085e-05
4,059 Database-Agnostic Workload Management 2019 CIDR 6.8251711e-05
4,105 Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google 2021 VLDB 6.8053165e-05
4,112 Don’t Hold My Data Hostage – A Case For Client Protocol Redesign 2017 VLDB 6.7994301e-05
4,153 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.776246e-05
4,223 Citus: Distributed PostgreSQL for Data-Intensive Applications 2021 SIGMOD 6.7237373e-05
4,635 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.4932705e-05
4,733 LogStore: A Cloud-Native and Multi-Tenant Log Database 2021 SIGMOD 6.4459155e-05
5,005 Using Cloud Functions as Accelerator for Elastic Data Analytics 2023 SIGMOD 6.3177105e-05
5,288 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1944376e-05
5,348 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1690434e-05
5,902 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9536872e-05
5,916 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 5.9486769e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8382355e-05
6,277 Fast and Effective Distribution-Key Recommendation for Amazon Redshift 2020 VLDB 5.8266146e-05
6,290 Incorporating Super-Operators in Big-Data Query Optimizers 2020 VLDB 5.8223076e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7927521e-05
6,580 Deep Lake: a Lakehouse for Deep Learning 2023 CIDR 5.7445866e-05
6,648 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 5.7215989e-05
6,682 Hierarchical Residual Encoding for Multiresolution Time Series Compression 2023 SIGMOD 5.7093663e-05
6,920 Petabyte-Scale Row-Level Operations in Data Lakehouses 2024 VLDB 5.6441822e-05
6,986 Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools 2023 SIGMOD 5.6284421e-05
6,999 Statisticum: Data Statistics Management in SAP HANA 2017 VLDB 5.6252486e-05
7,073 Yellowbrick: An Elastic Data Warehouse on Kubernetes 2024 CIDR 5.6067524e-05
7,221 Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP 2024 VLDB 5.5828002e-05
7,350 Bullion: A Column Store for Machine Learning 2025 CIDR 5.5451228e-05
7,410 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5342768e-05
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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.

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