Simba: Efficient In-Memory Spatial Analytics
Summary: Simba delivers in-memory spatial analytics on Spark, bypassing disk IO for low-latency large-scale data. It adds RDD-based spatial indexes, a spatial-aware optimizer, and Spark SQL/DataFrame API support for scalable, high-throughput queries on commodity clusters. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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BibTeX Citation
@inproceedings{xie_sigmod16,
title = {{Simba: Efficient In-Memory Spatial Analytics}},
author = {Xie, Dong and Li, Feifei and Yao, Bin and Li, Gefei and Zhou, Liang and Guo, Minyi},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2915237},
url = {https://dl.acm.org/doi/10.1145/2882903.2915237},
year = {2016}
}
Incoming Citations (Sorted by Pagerank)
Showing 26 of 26 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.001992968 |
| 4 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0011405675 |
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.001052036 |
| 23 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00055406774 |
| 28 | Nearest Neighbor Queries | 1995 | SIGMOD | 0.00051312804 |
| 31 | Hive - A Warehousing Solution Over a Map-Reduce Framework | 2009 | VLDB | 0.00049839909 |
| 272 | An Overview of Query Optimization in Relational Systems | 1998 | PODS | 0.00022509573 |
| 432 | Shark: SQL and Rich Analytics at Scale | 2013 | SIGMOD | 0.00018339357 |
| 1,080 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB | 0.00012131978 |
| 2,176 | Efficient Processing of k Nearest Neighbor Joins using MapReduce | 2012 | VLDB | 8.9159001e-05 |
| 4,219 | Spatial Partitioning Techniques in SpatialHadoop | 2015 | VLDB | 6.7262869e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,196 | DITA: Distributed In-Memory Trajectory Analytics | 2018 | SIGMOD |
| 2 | 2,858 | A Demonstration of SpatialHadoop: An Efficient MapReduce Framework for Spatial Data | 2013 | VLDB |
| 3 | 12,434 | A Demonstration of AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data | 2015 | VLDB |
| 4 | 8,207 | Architecting a Query Compiler for Spatial Workloads | 2020 | SIGMOD |
| 5 | 12,220 | DITA: A Distributed In-Memory Trajectory Analytics System | 2018 | SIGMOD |
| 6 | 1,080 | Hadoop-GIS: A High Performance Spatial Data Warehousing System over MapReduce | 2013 | VLDB |
| 7 | 8,809 | Incremental Partitioning for Efficient Spatial Data Analytics | 2022 | VLDB |
| 8 | 9,126 | Balance-Aware Distributed String Similarity-Based Query Processing System | 2019 | VLDB |
| 9 | 5,912 | Dima: A Distributed In-Memory Similarity-Based Query Processing System | 2017 | VLDB |
| 10 | 4,513 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB |