How Good Are Modern Spatial Analytics Systems?
Summary: Survey and mapping of modern spatial analytics systems for pervasive spatial data processing. Thorough, feature- and query-centric comparison using real-world datasets, highlighting current capabilities, gaps, and progress beyond prior, dated studies. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Varun Pandey (Technical University of Munich)
- 2. Andreas Kipf (Technical University of Munich)
- 3. Thomas Neumann (Technical University of Munich)
- 4. Alfons Kemper (Technical University of Munich)
BibTeX Citation
@article{pandey_vldb18,
title = {{How Good Are Modern Spatial Analytics Systems?}},
author = {Pandey, Varun and Kipf, Andreas and Neumann, Thomas and Kemper, Alfons},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {11},
pages = {1661--1673},
doi = {10.14778/3236187.3236213},
url = {https://doi.org/10.14778/3236187.3236213},
year = {2018}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,909 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 6.3469778e-05 |
| 6,227 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD | 5.8265219e-05 |
| 7,312 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD | 5.5430871e-05 |
| 8,230 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD | 5.3577081e-05 |
| 8,249 | Raster Intervals: An Approximation Technique for Polygon Intersection Joins | 2023 | SIGMOD | 5.3539505e-05 |
| 8,829 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 5.2533436e-05 |
| 9,178 | STAR: A Distributed Stream Warehouse System for Spatial Data | 2020 | SIGMOD | 5.1996158e-05 |
| 10,100 | Finding Logic Bugs in Spatial Database Engines via Affine Equivalent Inputs | 2024 | SIGMOD | 5.068372e-05 |
| 11,759 | ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale | 2023 | SIGMOD | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,084 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012086348 |
| 1,183 | Simba: Efficient In-Memory Spatial Analytics | 2016 | SIGMOD | 0.00011589152 |
| 4,239 | Spatial Partitioning Techniques in SpatialHadoop | 2015 | VLDB | 6.7011937e-05 |
| 4,532 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB | 6.5412636e-05 |
| 5,492 | GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons | 2018 | VLDB | 6.0966695e-05 |
| 6,476 | The Era of Big Spatial Data | 2017 | VLDB | 5.7551052e-05 |
| 7,753 | High-Performance Geospatial Analytics in HyPerSpace | 2016 | SIGMOD | 5.4436024e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,480 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB |
| 2 | 3,646 | Location-based Spatial Queries | 2003 | SIGMOD |
| 3 | 5,358 | A General Framework for Geo-Social Query Processing | 2013 | VLDB |
| 4 | 6,227 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD |
| 5 | 12,193 | Interactive Visualization for Big Spatial Data | 2019 | SIGMOD |
| 6 | 5,835 | Spatial Independent Range Sampling | 2021 | SIGMOD |
| 7 | 8,878 | Machine Learning Meets Big Spatial Data | 2019 | VLDB |
| 8 | 12,326 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD |
| 9 | 7,753 | High-Performance Geospatial Analytics in HyPerSpace | 2016 | SIGMOD |
| 10 | 3,825 | Spatial Online Sampling and Aggregation | 2016 | VLDB |