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
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Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,284 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00012837822 |
| 6,302 | Diva: Making MVCC Systems HTAP-Friendly | 2022 | SIGMOD | 5.1215989e-05 |
| 6,659 | Fast and Effective Distribution-Key Recommendation for Amazon Redshift | 2020 | VLDB | 4.9710856e-05 |
| 8,225 | Automated Multidimensional Data Layouts in Amazon Redshift | 2024 | SIGMOD | 4.555289e-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 |
|---|---|---|---|---|
| 2,189 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 9.335684e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,261 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012989236 |
| 9,485 | Spatial Query Optimization With Learning | 2024 | VLDB | 4.3341665e-05 |
| 8,225 | Automated Multidimensional Data Layouts in Amazon Redshift | 2024 | SIGMOD | 4.555289e-05 |
| 4,593 | Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift | 2023 | SIGMOD | 6.0606891e-05 |
| 9,019 | STAR: A Distributed Stream Warehouse System for Spatial Data | 2020 | SIGMOD | 4.4082606e-05 |
| 2,300 | A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data | 2013 | VLDB | 9.0677864e-05 |
| 5,832 | Stage: Query Execution Time Prediction in Amazon Redshift | 2024 | SIGMOD | 5.3111109e-05 |
| 426 | Amazon Redshift and the Case for Simpler Data Warehouses | 2015 | SIGMOD | 0.00023594359 |
| 1,284 | Amazon Redshift Re-invented | 2022 | SIGMOD | 0.00012837822 |
| 3,844 | The evolution of Amazon Redshift (extended abstract) | 2021 | VLDB | 6.7076451e-05 |