Choosing A Cloud DBMS: Architectures and Tradeoffs
Summary: Cloud analytic DBMSs blend shared-storage with shared-nothing execution, revealing tradeoffs. On AWS with TPC-H, Redshift/Athena/Presto/Hive/Vertica favor S3 storage, ORC, and optional precompilation/caching to avoid penalizing ad hoc queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Junjay Tan (Brown University)
- 2. Thanaa Ghanem (Metropolitan State University (Minnesota))
- 3. Matthew Perron (Massachusetts Institute of Technology)
- 4. Xiangyao Yu (Massachusetts Institute of Technology)
- 5. Michael Stonebraker (Massachusetts Institute of Technology; Tamr, Inc.)
- 6. David DeWitt (Massachusetts Institute of Technology)
- 7. Marco Serafini (University of Massachusetts Amherst)
- 8. Ashraf Aboulnaga (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 9. Tim Kraska (Massachusetts Institute of Technology)
BibTeX Citation
@article{tan_vldb19,
title = {{Choosing A Cloud DBMS: Architectures and Tradeoffs}},
author = {Tan, Junjay and Ghanem, Thanaa and Perron, Matthew and Yu, Xiangyao and Stonebraker, Michael and DeWitt, David and Serafini, Marco and Aboulnaga, Ashraf and Kraska, Tim},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {2170--2182},
doi = {10.14778/3352063.3352133},
url = {https://doi.org/10.14778/3352063.3352133},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 21 of 21 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 | Efficiently Compiling Efficient Query Plans for Modern Hardware | 2011 | VLDB | 0.00056737487 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049707539 |
| 52 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00041439488 |
| 63 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00038609177 |
| 177 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00026571747 |
| 226 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.0002389883 |
| 893 | Runtime Measurements in the Cloud: Observing, Analyzing, and Reducing Variance | 2010 | VLDB | 0.00013199466 |
| 1,316 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB | 0.00011044363 |
| 1,331 | An Evaluation of Alternative Architectures for Transaction Processing in the Cloud | 2010 | SIGMOD | 0.00010997846 |
| 3,055 | Eon Mode: Bringing the Vertica Columnar Database to the Cloud | 2018 | SIGMOD | 7.6896798e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,192 | PolarDB-IMCI: A Cloud-Native HTAP Database System at Alibaba | 2023 | SIGMOD |
| 2 | 2,162 | Towards Cost-Optimal Query Processing in the Cloud | 2021 | VLDB |
| 3 | 1,331 | An Evaluation of Alternative Architectures for Transaction Processing in the Cloud | 2010 | SIGMOD |
| 4 | 10,174 | CloudJump: Optimizing Cloud Databases for Cloud Storages | 2022 | VLDB |
| 5 | 13,790 | White-Box OLAP Performance Modeling for the Cloud | 2021 | CIDR |
| 6 | 1,791 | Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet | 2024 | VLDB |
| 7 | 3,303 | Cloud Analytics Benchmark | 2023 | VLDB |
| 8 | 9,067 | Bringing Cloud-Native Storage to SAP IQ | 2021 | SIGMOD |
| 9 | 8,068 | Cloud Databases: New Techniques, Challenges, and Opportunities | 2022 | VLDB |
| 10 | 6,288 | Is Scalable OLTP in the Cloud a Solved Problem? Analyzing Data Access for Distributed OLTP Architectures | 2023 | CIDR |