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)
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Authors
- 1. Jignesh Patel
- 2. JieBing Yu
- 3. Navin Kabra
- 4. Kristin Tufte
- 5. Biswadeep Nag
- 6. Josef Burger
- 7. Nancy Hall
- 8. Karthikeyan Ramasamy
- 9. Roger Lueder
- 10. Curt Ellmann
- 11. Jim Kupsch
- 12. Shelly Guo
- 13. Johan Larson
- 14. David DeWitt
- 15. Jeffrey Naughton
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