Db2 Event Store: A Purpose-Built IoT Database Engine
Summary: Db2 Event Store is a cloud-native engine purpose-built for IoT’s high-rate ingest, open storage, and near-real-time analytics. It uniquely combines an IoT-oriented architecture with decades-mature Db2 SQL compilation, optimization, and runtime components. (summarized by gpt-5.6-luna on Jul 21 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christian Garcia-Arellano (IBM)
- 2. Hamdi Roumani (IBM)
- 3. Richard Sidle (IBM)
- 4. Josh Tiefenbach (IBM)
- 5. Kostas Rakopoulos (IBM)
- 6. Imran Sayyid (IBM)
- 7. Adam Storm (IBM)
- 8. Ronald Barber (IBM)
- 9. Fatma Ozcan (IBM)
- 10. Daniel Zilio (IBM)
- 11. Alexander Cheung (IBM)
- 12. Gidon Gershinsky (IBM)
- 13. Hamid Pirahesh (IBM)
- 14. David Kalmuk (IBM)
- 15. Yuanyuan Tian (IBM)
- 16. Matthew Spilchen (IBM)
- 17. Lan Pham (IBM)
- 18. Darren Pepper (IBM)
- 19. Gal Lushi (IBM)
BibTeX Citation
@article{garciaarellano_vldb20,
title = {{Db2 Event Store: A Purpose-Built IoT Database Engine}},
author = {Garcia-Arellano, Christian and Roumani, Hamdi and Sidle, Richard and Tiefenbach, Josh and Rakopoulos, Kostas and Sayyid, Imran and Storm, Adam and Barber, Ronald and Ozcan, Fatma and Zilio, Daniel and Cheung, Alexander and Gershinsky, Gidon and Pirahesh, Hamid and Kalmuk, David and Tian, Yuanyuan and Spilchen, Matthew and Pham, Lan and Pepper, Darren and Lushi, Gal},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3299--3312},
doi = {10.14778/3415478.3415552},
url = {https://doi.org/10.14778/3415478.3415552},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0024089429 |
| 66 | The Snowflake Elastic Data Warehouse | 2016 | SIGMOD | 0.00038561587 |
| 73 | Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases | 2017 | SIGMOD | 0.00037333356 |
| 165 | DB2 with BLU Acceleration: So Much More than Just a Column Store | 2013 | VLDB | 0.00027693424 |
| 186 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00026182534 |
| 231 | The LRU-K Page Replacement Algorithm For Database Disk Buffering | 1993 | SIGMOD | 0.00023846898 |
| 237 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.0002369895 |
| 1,494 | Procella: Unifying serving and analytical data at YouTube | 2019 | VLDB | 0.00010577585 |
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