The DOI matches its Crossref record.
DuckDB: an Embeddable Analytical Database
Open accessAbstract
The immense popularity of SQLite shows that there is a need for unobtrusive in-process data management solutions. However, there is no such system yet geared towards analytical workloads. We demonstrate DuckDB, a novel data management system designed to execute analytical SQL queries while embedded in another process. In our demonstration, we pit DuckDB against other data management solutions to showcase its performance in the embedded analytics scenario. DuckDB is available as Open Source software under a permissive license.
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What Goes Around Comes Around... And Around...
Stonebraker, M., & Pavlo, A. (2024) · ACM SIGMOD Record · doi:10.1145/3685980.3685984 · Cited by 29
Metadata
- Authors
- Raasveldt, M., & Mühleisen, H.
- Venue
- Proceedings of the 2019 International Conference on Management of Data
- Publisher
- ACM
- Published
- 2019-06-25
- Pages
- 1981-1984
- ISSN
- 0730-8078 (ISSN-L)
- OpenAlex
- W2949054050
- Cited by
- 327
- References
- 0
- FWCI
- 7.34
- Type
- conference paper
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: DuckDB: an Embeddable Analytical Database. https://app.cochat.ai/papers/10.1145/3299869.3320212
- The paper
- Raasveldt, M., & Mühleisen, H. (2019). DuckDB: an Embeddable Analytical Database. Proceedings of the 2019 International Conference on Management of Data. https://doi.org/10.1145/3299869.3320212
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
