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
- 2. Andreas Kipf
- 3. Thomas Neumann
- 4. Alfons Kemper
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,746 | Hu-Fu: Efficient and Secure Spatial Queries over Data Federation | 2022 | VLDB | 5.3420687e-05 |
| 6,951 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD | 4.8892276e-05 |
| 7,337 | Unified Spatial Analytics from Heterogeneous Sources with Amazon Redshift | 2020 | SIGMOD | 4.7584825e-05 |
| 7,925 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD | 4.6153403e-05 |
| 8,263 | Raster Intervals: An Approximation Technique for Polygon Intersection Joins | 2023 | SIGMOD | 4.5464722e-05 |
| 9,019 | STAR: A Distributed Stream Warehouse System for Spatial Data | 2020 | SIGMOD | 4.4082606e-05 |
| 10,507 | SwiftSpatial: Spatial Joins on Modern Hardware | 2025 | SIGMOD | 4.1945683e-05 |
| 10,988 | Finding Logic Bugs in Spatial Database Engines via Affine Equivalent Inputs | 2024 | SIGMOD | 4.1945683e-05 |
| 11,188 | ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale | 2023 | SIGMOD | 4.1945683e-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 |
|---|---|---|---|---|
| 1,261 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012989236 |
| 1,435 | Simba: Efficient In-Memory Spatial Analytics | 2016 | SIGMOD | 0.00012004456 |
| 4,217 | Spatial Partitioning Techniques in SpatialHadoop | 2015 | VLDB | 6.3514771e-05 |
| 4,650 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB | 6.0234336e-05 |
| 5,514 | GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons | 2018 | VLDB | 5.4638186e-05 |
| 5,980 | The Era of Big Spatial Data | 2017 | VLDB | 5.2449608e-05 |
| 7,690 | High-Performance Geospatial Analytics in HyPerSpace | 2016 | SIGMOD | 4.6763023e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,403 | Efficient Processing of Top-k Spatial Preference Queries | 2011 | VLDB | 0.00012176993 |
| 3,814 | Location-based Spatial Queries | 2003 | SIGMOD | 6.7341058e-05 |
| 5,269 | A General Framework for Geo-Social Query Processing | 2013 | VLDB | 5.5966244e-05 |
| 6,951 | A GPU-friendly Geometric Data Model and Algebra for Spatial Queries | 2020 | SIGMOD | 4.8892276e-05 |
| 11,649 | Interactive Visualization for Big Spatial Data | 2019 | SIGMOD | 4.1945683e-05 |
| 5,953 | Spatial Independent Range Sampling | 2021 | SIGMOD | 5.2589924e-05 |
| 8,789 | Machine Learning Meets Big Spatial Data | 2019 | VLDB | 4.4509194e-05 |
| 11,774 | Query Processing Techniques for Big Spatial-Keyword Data | 2017 | SIGMOD | 4.1945683e-05 |
| 7,690 | High-Performance Geospatial Analytics in HyPerSpace | 2016 | SIGMOD | 4.6763023e-05 |
| 4,029 | Spatial Online Sampling and Aggregation | 2016 | VLDB | 6.51315e-05 |