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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)

Paper ID
h6716eea467e8a55a
Venue
SIGMOD
Year
2016
Pagerank
0.00011632691
Overall Rank
1,178 | 92.09%
DOI
10.1145/2882903.2915237

Incoming Non-self Citations Over Time

Authors

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.

Rank Citing Paper Year Venue Pagerank
1,911 ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra 2018 VLDB 9.3912399e-05
2,021 Distributed Trajectory Similarity Search 2017 VLDB 9.1719539e-05
2,196 DITA: Distributed In-Memory Trajectory Analytics 2018 SIGMOD 8.8780862e-05
2,764 How Good Are Modern Spatial Analytics Systems? 2018 VLDB 8.0440088e-05
3,406 Native Store Extension for SAP HANA 2019 VLDB 7.3281944e-05
3,802 UlTraMan: A Unified Platform for Big Trajectory Data Management and Analytics 2018 VLDB 7.0132896e-05
4,883 Hu-Fu: Efficient and Secure Spatial Queries over Data Federation 2022 VLDB 6.3710505e-05
5,467 GPU Rasterization for Real-Time Spatial Aggregation over Arbitrary Polygons 2018 VLDB 6.119722e-05
5,743 VRE: A Versatile, Robust, and Economical Trajectory Data System 2022 VLDB 6.0099017e-05
6,461 The Era of Big Spatial Data 2017 VLDB 5.7768622e-05
7,519 Comparing Synopsis Techniques for Approximate Spatial Data Analysis 2019 VLDB 5.502959e-05
8,207 Architecting a Query Compiler for Spatial Workloads 2020 SIGMOD 5.3778259e-05
8,225 Raster Intervals: An Approximation Technique for Polygon Intersection Joins 2023 SIGMOD 5.3742569e-05
8,416 U-DPAP: Utility-aware Efficient Range Counting on Privacy-preserving Spatial Data Federation 2025 SIGMOD 5.3350162e-05
8,804 SwiftSpatial: Spatial Joins on Modern Hardware 2025 SIGMOD 5.2732683e-05
8,809 Incremental Partitioning for Efficient Spatial Data Analytics 2022 VLDB 5.2724071e-05
8,847 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2646682e-05
9,688 Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks 2022 VLDB 5.1408423e-05
9,935 Raptor: Large Scale Analysis of Big Raster and Vector Data 2019 VLDB 5.107784e-05
10,061 Finding Logic Bugs in Spatial Database Engines via Affine Equivalent Inputs 2024 SIGMOD 5.0875952e-05
11,440 RDPro: Distributed Processing of Big Raster Data 2025 VLDB 4.9793485e-05
11,707 ST4ML: Machine Learning Oriented Spatio-Temporal Data Processing at Scale 2023 SIGMOD 4.9793485e-05
11,847 Scalable Time Series Compound Infrastructure 2022 SIGMOD 4.9793485e-05
11,960 Raptor: Large Scale Processing of Big Raster + Vector Data 2021 SIGMOD 4.9793485e-05
12,099 SSTD: A Distributed System on Streaming Spatio-Textual Data 2020 VLDB 4.9793485e-05
12,181 The Maximum Trajectory Coverage Query in Spatial Databases 2019 VLDB 4.9793485e-05
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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.

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