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DuckDB: an Embeddable Analytical Database
Summary: Embeddable analytical database for in-process analytics, enabling SQL execution inside an application with minimal intrusion. Demonstrates embedded analytics performance against other data-management solutions, highlighting permissive open-source license.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
5782
Venue
SIGMOD
Year
2019
Pagerank
0.00034161428
Overall Rank
103 | 99.30%
DOI
10.1145/3299869.3320212
Incoming Non-self Citations Over Time
BibTeX Citation
@inproceedings{raasveldt_sigmod19,
title = {{DuckDB: an Embeddable Analytical Database}},
author = {Raasveldt, Mark and Mühleisen, Hannes},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320212},
url = {https://dl.acm.org/doi/10.1145/3299869.3320212},
year = {2019}
}
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QOVIS: Understanding and Diagnosing Query Optimizer via a Visualization-assisted Approach 2025
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11,078
LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics 2025
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FaDE: More Than a Million What-ifs Per Second 2025
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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