Dima: A Distributed In-Memory Similarity-Based Query Processing System
Summary: Dima is a distributed in-memory system enabling similarity search and join via an SQL extension for robust analytics. It uses adaptive selectable signatures with global/local indexes and Spark integration to enable scalable similarity search and join. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ji Sun (Tsinghua University)
- 2. Zeyuan Shang (Tsinghua University)
- 3. Guoliang Li (Tsinghua University)
- 4. Dong Deng (Massachusetts Institute of Technology)
- 5. Zhifeng Bao (RMIT University)
BibTeX Citation
@article{sun_vldb17,
title = {{Dima: A Distributed In-Memory Similarity-Based Query Processing System}},
author = {Sun, Ji and Shang, Zeyuan and Li, Guoliang and Deng, Dong and Bao, Zhifeng},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
doi = {10.14778/3137765.3137810},
url = {https://doi.org/10.14778/3137765.3137810},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,107 | Smurf: Self-Service String Matching Using Random Forests | 2019 | VLDB | 6.8026037e-05 |
| 4,274 | Set Similarity Joins on MapReduce: An Experimental Survey | 2018 | VLDB | 6.6918599e-05 |
| 4,688 | Learned Cardinality Estimation for Similarity Queries | 2021 | SIGMOD | 6.4697463e-05 |
| 6,236 | Optimizing In-memory Database Engine for AI-powered On-line Decision Augmentation Using Persistent Memory | 2021 | VLDB | 5.8409336e-05 |
| 6,397 | Human-in-the-loop Data Integration | 2017 | VLDB | 5.7989499e-05 |
| 9,126 | Balance-Aware Distributed String Similarity-Based Query Processing System | 2019 | VLDB | 5.22387e-05 |
| 10,859 | Pail: Efficient kNN Search on Set-Valued Attributes | 2026 | VLDB | 4.9793485e-05 |
| 11,339 | Extensible and Robust Evaluation of Similarity Queries | 2025 | VLDB | 4.9793485e-05 |
| 11,497 | Similarity Joins of Sparse Features | 2024 | SIGMOD | 4.9793485e-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 |
|---|---|---|---|---|
| 168 | Efficient Exact Set-Similarity Joins | 2006 | VLDB | 0.00027163517 |
| 201 | Efficient set joins on similarity predicates | 2004 | SIGMOD | 0.00025331535 |
| 360 | Efficient Parallel Set-Similarity Joins Using MapReduce | 2010 | SIGMOD | 0.00020009936 |
| 963 | Can We Beat the Prefix Filtering? An Adaptive Framework for Similarity Join and Search | 2012 | SIGMOD | 0.00012816649 |
| 1,933 | Pass-Join: A Partition-based Method for Similarity Joins | 2012 | VLDB | 9.3459285e-05 |
| 2,220 | String Similarity Joins: An Experimental Evaluation | 2014 | VLDB | 8.8146984e-05 |
| 3,350 | An Efficient Partition Based Method for Exact Set Similarity Joins | 2016 | VLDB | 7.3910669e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,121 | DIDS: Double Indices and Double Summarizations for Fast Similarity Search | 2024 | VLDB |
| 2 | 4,513 | LocationSpark: A Distributed In-Memory Data Management System for Big Spatial Data | 2016 | VLDB |
| 3 | 5,496 | Density-optimized Intersection-free Mapping and Matrix Multiplication for Join-Project Operations | 2022 | VLDB |
| 4 | 2,021 | Distributed Trajectory Similarity Search | 2017 | VLDB |
| 5 | 12,733 | SimDB: A Similarity-aware Database System | 2010 | SIGMOD |
| 6 | 13,985 | Exploiting Database Similarity Joins for Metric Spaces | 2012 | VLDB |
| 7 | 1,178 | Simba: Efficient In-Memory Spatial Analytics | 2016 | SIGMOD |
| 8 | 2,196 | DITA: Distributed In-Memory Trajectory Analytics | 2018 | SIGMOD |
| 9 | 12,220 | DITA: A Distributed In-Memory Trajectory Analytics System | 2018 | SIGMOD |
| 10 | 9,126 | Balance-Aware Distributed String Similarity-Based Query Processing System | 2019 | VLDB |