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MonetDBLite: An Embedded Analytical Database

Summary: MonetDBLite provides an embedded analytical DB to bridge data-science tools and traditional DBMS. By replacing flat-file workflows with a transactional, schema-backed store, it tackles data integrity and atomicity in analytics. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5504
Venue
SIGMOD
Year
2018
Pagerank
5.7303405e-05
Overall Rank
6,967 | 52.21%
DOI
10.1145/3183713.3183722

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{raasveldt_sigmod18,
        title = {{MonetDBLite: An Embedded Analytical Database}},
        author = {Raasveldt, Mark},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183722},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183722},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
103 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00034161428
2,000 Data Management for Data Science: Towards Embedded Analytics 2020 CIDR 9.3336258e-05
11,551 Lineage Resource Manager 2022 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,036 Don’t Hold My Data Hostage – A Case For Client Protocol Redesign 2017 VLDB 6.9436548e-05
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