DuckDB just dropped a major 2.0 preview—and it feels like a decisive shift from “embedded query engine” to “real database service.” The big headline: Quack-powered server mode is moving from preview toward stability, so DuckDB can speak over the network more like a proper server. Equally important, DuckDB 2.0 expands core database behavior. Triggers are now fully supported at the database layer—meaning you can run logic before/after inserts or updates, sync audit trails, and even trigger per row or per SQL statement while accessing before/after values. That’s a practical upgrade for long-running services, not just one-off analysis. Under the hood, DuckDB also swaps in a new SQL parser (inspired by PostgreSQL ideas) for better errors and room for future syntax growth, and upgrades its default storage format to reduce memory pressure via on-demand indexing. And with the new CONNECT command, DuckDB can send queries to PostgreSQL/MySQL and pull results back—so you can orchestrate analysis without copying entire datasets locally. #DuckDB #SQL #DataEngineering #DatabaseTech #OpenSource #Analytics
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