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Most Influential SIGMOD 2019 Paper · 2026-03 edition

DuckDB: An Embeddable Analytical Database

Mark Raasveldt; Hannes M�hleisen

Venue
ACM SIGMOD Conference (SIGMOD) 2019
Recognition
Most Influential SIGMOD 2019 Paper (Rank No. 3)
Edition
2026-03
Impact factor
6
Certificate ID
bf2920397e11c1f2

Abstract

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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