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DuckDB's new Quack protocol extends its embedded analytics engine to a client-server model over HTTP, enabling multi-user concurrency and remote data lake integration without migrating to heavier traditional databases. By leveraging native data formats, the system reportedly achieves significantly higher throughput than Arrow Flight and PostgreSQL for large dataset transfers. This shift allows developers to centralize state for production-grade services while maintaining DuckDB's lightweight architecture and SQL compatibility.
DuckDB Quack: Client/Server Protocol over HTTP for Multi-User Analytics
DuckDB has recently announced Quack, a new remote protocol over HTTP that lets multiple DuckDB instances connect to and work with the same database over a network. The protocol introduces client-server capabilities to a database that was previously mostly local and embedded. By Renato Losio
DuckDB has recently announced Quack, a new remote protocol over HTTP that lets multiple DuckDB instances connect to and work with the same database over a network. The protocol introduces client-server capabilities to a database that was previously mostly local and embedded. Keeping DuckDB’s lightweight workflow and SQL compatibility, Quack makes it easier to share datasets, support concurrent users, run analytics remotely, and build production-style data services without switching to a heavier, more traditional database system. Compared to existing approaches, Quack is…
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