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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)

Paper ID
5246
Venue
SIGMOD
Year
2016
Pagerank
5.5850996e-05
Overall Rank
7,605 | 47.83%
DOI
10.1145/2882903.2889412

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{pandey_sigmod16,
        title = {{High-Performance Geospatial Analytics in HyPerSpace}},
        author = {Pandey, Varun and Mühlbauer, Tobias and Kipf, Andreas and Neumann, Thomas and Vorona, Dimitri and Kemper, Alfons},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2889412},
        url = {https://dl.acm.org/doi/10.1145/2882903.2889412},
        year = {2016}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
233 Fast Serializable Multi-Version Concurrency Control for Main-Memory Database Systems 2015 SIGMOD 0.00023815642
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