Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift
Summary: Unified spatial analytics across heterogeneous sources—spatial data from warehouses, GIS, transactional systems, and data lakes. Extensions to Redshift's optimizer push spatial processing near the data, with integration to Aurora PostgreSQL and S3. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nemanja Borić (Amazon)
- 2. Hinnerk Gildhoff (Amazon)
- 3. Menelaos Karavelas (Amazon)
- 4. Ippokratis Pandis (Amazon)
- 5. Ioanna Tsalouchidou (Amazon)
BibTeX Citation
@inproceedings{boric_sigmod20,
title = {{Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift}},
author = {Borić, Nemanja and Gildhoff, Hinnerk and Karavelas, Menelaos and Pandis, Ippokratis and Tsalouchidou, Ioanna},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384704},
url = {https://dl.acm.org/doi/10.1145/3318464.3384704},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 818 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00013822916 |
| 5,805 | Diva: Making MVCC Systems HTAP-Friendly | 2022 | SIGMOD | 6.0822211e-05 |
| 6,279 | Fast and Effective Distribution-Key Recommendation for Amazon Redshift | 2020 | VLDB | 5.9286872e-05 |
| 7,465 | Automated Multidimensional Data Layouts in Amazon Redshift | 2024 | SIGMOD | 5.6108826e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,732 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 8.1934602e-05 |
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