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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)

Paper ID
11675
Venue
VLDB
Year
2017
Pagerank
5.9253163e-05
Overall Rank
6,290 | 56.85%
DOI
10.14778/3137765.3137810

Incoming Non-self Citations Over Time

Authors

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}
}

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