DuckDB Quack: Client/Server Protocol over HTTP for Multi-User Analytics
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DuckDB Quack protocol for multi-user analytics; highly actionable and aligned with data engineering.
DuckDB's new Quack protocol brings client-server capabilities over HTTP to the previously local embedded database, enabling multi-user analytics with concurrent access and remote dataset sharing. Released under MIT, Quack achieves 3.5x faster data transfer than Arrow Flight and can complete small queries in a single network roundtrip by using DuckDB's native format, giving the team full control over protocol evolution. The open-source project plans to integrate Quack with DuckLake and ship it as part of DuckDB 2.0 later this year, garnering positive community reaction for solving horizontal scaling without sacrificing lightweight deployment.
- Evaluate Quack for shared analytics use cases requiring horizontal scaling and remote dataset access without abandoning DuckDB's lightweight, embeddable deployment model.
For a solutions architect focused on data engineering and platform building, Quack provides a lightweight, embeddable analytical database that gains multi-user server capabilities over HTTP, reducing operational overhead compared to heavier systems like PostgreSQL or Snowflake for shared analytics workloads.