High-Performance Spatial Data Analytics: Systematic R&D for Scale-Out and Scale-Up Solutions from the Past to Now

Summary: Retrospective of Hadoop-GIS (VLDB’13) showing how systematic R&D bootstrapped an open-source, commodity-cluster–friendly spatial analytics ecosystem for large-scale spatial processing. Surveys core architectural innovations and evolution toward scale-up, hardware-accelerated low-latency/high-throughput deployments. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13883
Venue: VLDB
Year: 2024
Pagerank: 5.093636e-05
Overall Rank: 11,332 | 22.26%
DOI: 10.14778/3685800.3685912

Incoming Non-self Citations Over Time

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Authors

1. Fusheng Wang (State University of New York at Stony Brook)
2. Rubao Lee (Independent)
3. Dejun Teng (Shandong University)
4. Xiaodong Zhang (Ohio State University)
5. Joel Saltz (State University of New York at Stony Brook)

BibTeX Citation

@article{wang_vldb24,
        title = {{High-Performance Spatial Data Analytics: Systematic R\&D for Scale-Out and Scale-Up Solutions from the Past to Now}},
        author = {Wang, Fusheng and Lee, Rubao and Teng, Dejun and Zhang, Xiaodong and Saltz, Joel},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {12},
        pages = {4507--4520},
        doi = {10.14778/3685800.3685912},
        url = {https://doi.org/10.14778/3685800.3685912},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
4	The R*-tree: An Efficient and Robust Access Method for Points and Rectangles	1990	SIGMOD	0.001157935
44	A Comparison of Approaches to Large-Scale Data Analysis	2009	SIGMOD	0.00046055057
329	Hilbert R-tree: An Improved R-tree Using Fractals	1994	VLDB	0.00021068647
823	The Yin and Yang of Processing Data Warehousing Queries on GPU Devices	2013	VLDB	0.00013792901
1,067	Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce	2013	VLDB	0.00012327784
2,498	Mega-KV: A Case for GPUs to Maximize the Throughput of In-Memory Key-Value Stores	2015	VLDB	8.5016595e-05
2,504	Concurrent Analytical Query Processing with GPUs	2014	VLDB	8.4963369e-05
2,706	Major Technical Advancements in Apache Hive	2014	SIGMOD	8.2287564e-05
4,603	The Art of Balance: A RateupDB Experience of Building a CPU/GPU Hybrid Database Product	2021	VLDB	6.6105578e-05
6,640	Understanding Insights into the Basic Structure and Essential Issues of Table Placement Methods in Clusters	2013	VLDB	5.8162526e-05
8,580	Accelerating Pathology Image Data Cross-Comparison on CPU-GPU Hybrid Systems	2012	VLDB	5.4082911e-05
13,527	iSPEED: a Scalable and Distributed In-Memory Based Spatial Query System for Large and Structurally Complex 3D Data	2018	VLDB	-

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