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Building a Scalable Geo-Spatial DBMS: Technology, Implementation, and Evaluation

Summary: Novel parallelization techniques for geo-spatial DBMS, implemented in the Paradise object-relational DBMS. Evaluation with complex geo-spatial queries over a 120 GB global dataset demonstrates scalable performance gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2958
Venue
SIGMOD
Year
1997
Pagerank
0.00015767786
Overall Rank
871 | 93.95%
DOI
-

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