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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
0.00023774958
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 0.00041210636
339 AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data 2020 VLDB 0.00020561716
681 Amazon Redshift Re-invented 2022 SIGMOD 0.0001482366
1,423 Procella: Unifying serving and analytical data at YouTube 2019 VLDB 0.00010715412
1,456 Manu: A Cloud Native Vector Database Management System 2022 VLDB 0.00010588868
1,790 POLARIS: The Distributed SQL Engine in Azure Synapse 2020 VLDB 9.6227952e-05
1,791 Greenplum: A Hybrid Database for Transactional and Analytical Workloads 2021 SIGMOD 9.6213736e-05
1,828 DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models 2019 SIGMOD 9.547768e-05
1,974 Decomposed Bounded Floats for Fast Compression and Queries 2021 VLDB 9.2806652e-05
2,213 Towards Cost-Optimal Query Processing in the Cloud 2021 VLDB 8.817248e-05
2,317 BtrBlocks: Efficient Columnar Compression for Data Lakes 2023 SIGMOD 8.6492924e-05
2,483 AnalyticDB: Real-time OLAP Database System at Alibaba Cloud 2019 VLDB 8.3973995e-05
2,916 F1 Query: Declarative Querying at Scale 2018 VLDB 7.8581972e-05
2,968 Choosing A Cloud DBMS: Architectures and Tradeoffs 2019 VLDB 7.8004755e-05
3,083 Skipping-oriented Partitioning for Columnar Layouts 2017 VLDB 7.6620866e-05
3,446 Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing 2019 SIGMOD 7.2908619e-05
3,520 FlexPushdownDB: Hybrid Pushdown and Caching in a Cloud DBMS 2021 VLDB 7.2326541e-05
3,644 Db2 Event Store: A Purpose-Built IoT Database Engine 2020 VLDB 7.1393043e-05
3,650 The evolution of Amazon Redshift (extended abstract) 2021 VLDB 7.1341445e-05
3,810 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0064171e-05
3,902 Adore: Differentially Oblivious Relational Database Operators 2023 VLDB 6.9311667e-05
3,929 Big Metadata: When Metadata is Big Data 2021 VLDB 6.9159392e-05
3,931 Flexible Rule-Based Decomposition and Metadata Independence in Modin: A Parallel Dataframe System 2022 VLDB 6.9153238e-05
3,986 Designing an Open Framework for Query Optimization and Compilation 2022 VLDB 6.8697828e-05
4,059 Database-Agnostic Workload Management 2019 CIDR 6.8226757e-05
4,107 Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google 2021 VLDB 6.8020956e-05
4,114 Don’t Hold My Data Hostage – A Case For Client Protocol Redesign 2017 VLDB 6.7962416e-05
4,155 LeCo: Lightweight Compression via Learning Serial Correlations 2024 SIGMOD 6.7730383e-05
4,222 Citus: Distributed PostgreSQL for Data-Intensive Applications 2021 SIGMOD 6.7205688e-05
4,638 A Deep Dive into Common Open Formats for Analytical DBMSs 2023 VLDB 6.4901967e-05
4,734 LogStore: A Cloud-Native and Multi-Tenant Log Database 2021 SIGMOD 6.4428641e-05
5,008 Using Cloud Functions as Accelerator for Elastic Data Analytics 2023 SIGMOD 6.3147226e-05
5,291 PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba 2023 SIGMOD 6.1915052e-05
5,354 Adaptive and Robust Query Execution for Lakehouses at Scale 2024 VLDB 6.1661231e-05
5,895 Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees 2025 SIGMOD 5.9534254e-05
5,917 Diva: Making MVCC Systems HTAP-Friendly 2022 SIGMOD 5.9469335e-05
6,240 Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses 2024 SIGMOD 5.8373399e-05
6,280 Fast and Effective Distribution-Key Recommendation for Amazon Redshift 2020 VLDB 5.8239136e-05
6,293 Incorporating Super-Operators in Big-Data Query Optimizers 2020 VLDB 5.8195888e-05
6,417 Evaluating Multi-GPU Sorting with Modern Interconnects 2022 SIGMOD 5.7900099e-05
6,583 Deep Lake: a Lakehouse for Deep Learning 2023 CIDR 5.7418672e-05
6,646 Workload Insights From The Snowflake Data Cloud: What Do Production Analytic Queries Really Look Like? 2025 VLDB 5.7214206e-05
6,686 Hierarchical Residual Encoding for Multiresolution Time Series Compression 2023 SIGMOD 5.7066636e-05
6,922 Petabyte-Scale Row-Level Operations in Data Lakehouses 2024 VLDB 5.6415103e-05
6,989 Cackle: Analytical Workload Cost and Performance Stability With Elastic Pools 2023 SIGMOD 5.6257777e-05
7,000 Statisticum: Data Statistics Management in SAP HANA 2017 VLDB 5.6226404e-05
7,075 Yellowbrick: An Elastic Data Warehouse on Kubernetes 2024 CIDR 5.6040983e-05
7,223 Two Birds With One Stone: Designing a Hybrid Cloud Storage Engine for HTAP 2024 VLDB 5.5801574e-05
7,353 Bullion: A Column Store for Machine Learning 2025 CIDR 5.5424978e-05
7,413 POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance 2024 VLDB 5.5316834e-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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