Raptor: Large Scale Processing of Big Raster + Vector Data
Summary: Raptor Join (RJZ) enables in-situ, large-scale raster+vector processing in Spark with no data-loading phase. Raster and vector data are processed in native formats, no conversion, and RJZ is a relational-operator primitive that integrates with SQL. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Samriddhi Singla (University of California Riverside)
BibTeX Citation
@inproceedings{singla_sigmod21,
title = {{Raptor: Large Scale Processing of Big Raster + Vector Data}},
author = {Singla, Samriddhi},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3450585},
url = {https://dl.acm.org/doi/10.1145/3448016.3450585},
year = {2021}
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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 |
|---|---|---|---|---|
| 724 | The Multidimensional Database System RasDaMan | 1998 | SIGMOD | 0.00014620119 |
| 1,175 | Simba: Efficient In-Memory Spatial Analytics | 2016 | SIGMOD | 0.00011812263 |
| 4,692 | ChronosDB: Distributed, File Based, Geospatial Array DBMS | 2018 | VLDB | 6.5602928e-05 |
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