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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
0.0002389883
Overall Rank
226 | 98.49%
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 84 citing papers.

Rank Citing Paper Year Venue Pagerank
52 The Snowflake Elastic Data Warehouse 2016 SIGMOD 0.00041439488
325 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020930941
651 Amazon Redshift Re-invented 2022 SIGMOD 0.00015126716
1,280 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.00011199537
1,387 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.0001080904
1,687 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.8500167e-05
1,783 Greenplum: A Hybrid Database for Transactional and Analytical Workloads 2021 SIGMOD 9.6536753e-05
1,839 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.5187688e-05
1,981 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2505963e-05
2,162 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.9192007e-05
2,239 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.7753778e-05
2,474 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3955114e-05
2,831 F1 Query: Declarative Querying at Scale 2018 VLDB 7.945337e-05
2,878 Choosing A Cloud DBMS: Architectures and Tradeoffs 2019 VLDB 7.8955094e-05
3,094 Skipping-oriented Partitioning for Columnar Layouts 2017 VLDB 7.637515e-05
3,404 FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS 2021 VLDB 7.3212594e-05
3,457 Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing 2019 SIGMOD 7.2667942e-05
3,625 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.1334017e-05
3,649 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1172165e-05
3,809 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 6.9890843e-05
3,915 Adore: Differentially Oblivious Relational Database Operators 2023 VLDB 6.908248e-05
3,941 Big Metadata: When Metadata is Big Data 2021 VLDB 6.8939123e-05
3,945 Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System 2022 VLDB 6.8925046e-05
3,997 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.850379e-05
4,061 Database-Agnostic Workload Management 2019 CIDR 6.8129772e-05
4,126 Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google 2021 VLDB 6.7797675e-05
4,132 Don’t Hold My Data Hostage – A Case For Client Protocol Redesign 2017 VLDB 6.7741062e-05
4,169 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7526687e-05
4,238 Citus: Distributed PostgreSQL for Data-Intensive Applications 2021 SIGMOD 6.7018946e-05
4,373 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.6191786e-05
4,754 LogStore: A Cloud-Native and Multi-Tenant Log Database 2021 SIGMOD 6.42156e-05
4,999 Using Cloud Functions as Accelerator for Elastic Data Analytics 2023 SIGMOD 6.3086259e-05
5,192 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.2209024e-05
5,367 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1462017e-05
5,788 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 5.9763511e-05
5,911 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9338021e-05
6,250 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.818039e-05
6,291 Fast and Effective Distribution-Key Recommendation for Amazon Redshift 2020 VLDB 5.8049232e-05
6,294 Incorporating Super-Operators in Big-Data Query Optimizers 2020 VLDB 5.8043081e-05
6,414 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7763032e-05
6,592 Deep Lake: a Lakehouse for Deep Learning 2023 CIDR 5.722881e-05
6,618 Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools 2023 SIGMOD 5.715013e-05
6,658 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 5.7025639e-05
6,700 Hierarchical Residual Encoding for Multiresolution Time Series Compression 2023 SIGMOD 5.6877938e-05
6,942 Petabyte-Scale Row-Level Operations in Data Lakehouses 2024 VLDB 5.622856e-05
6,994 Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP 2024 VLDB 5.6094434e-05
7,019 Statisticum: Data Statistics Management in SAP HANA 2017 VLDB 5.6041386e-05
7,095 Yellowbrick: An Elastic Data Warehouse on Kubernetes 2024 CIDR 5.5855676e-05
7,369 Bullion: A Column Store for Machine Learning 2025 CIDR 5.5261972e-05
7,432 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5133928e-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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