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Language-Agnostic Integrated Queries in a Managed Polyglot Runtime

Summary: DynQ brings LINQ-style, language-agnostic query processing to dynamic languages in a managed polyglot runtime. It unifies in-memory objects, files, and external databases, achieving performance comparable to optimized code and embedded analytics engines. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12519
Venue
VLDB
Year
2021
Pagerank
5.273161e-05
Overall Rank
9,419 | 35.38%
DOI
10.14778/3457390.3457405

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{schiavio_vldb21,
        title = {{Language-Agnostic Integrated Queries in a Managed Polyglot Runtime}},
        author = {Schiavio, Filippo and Bonetta, Daniele and Binder, Walter},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {8},
        pages = {1414--1426},
        doi = {10.14778/3457390.3457405},
        url = {https://doi.org/10.14778/3457390.3457405},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
8,682 Columnar Formats for Schemaless LSM-based Document Stores 2022 VLDB 5.3857524e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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