High-Performance Geospatial Analytics in HyPerSpace
Summary: HyPerSpace extends the main-memory HyPer DBMS to support geospatial queries for real-time analytics. It achieves sub-second latencies by maintaining up-to-date transactional state, addressing performance gaps of disk-based geospatial systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Varun Pandey
- 2. Tobias Mühlbauer
- 3. Andreas Kipf
- 4. Thomas Neumann
- 5. Dimitri Vorona
- 6. Alfons Kemper
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,189 | How Good Are Modern Spatial Analytics Systems? | 2018 | VLDB | 9.335684e-05 |
| 2,838 | How to Architect a Query Compiler, Revisited | 2018 | SIGMOD | 8.0408472e-05 |
| 4,427 | TreeLine: An Update-In-Place Key-Value Store for Modern Storage | 2023 | VLDB | 6.1965873e-05 |
| 7,925 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD | 4.6153403e-05 |
| 11,415 | Budget-Conscious Fine-Grained Configuration Optimization for Spatio-Temporal Applications | 2022 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 419 | Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems | 2015 | SIGMOD | 0.00023720338 |
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