DuckDB(@duckdb):New blog post: DuckDB Table Functions in Java 🦆☕ In a large organization, data is spread across many systems, including relational databases, document stores, message queues, data lakes, and cloud data warehouses. The layer that ties these together is often a JVM-based distributed query engine. Teams increasingly add #DuckDB to these Java environments for fast single-node analytics. The DuckDB #Java client can register table functions written in pure Java, exposing any Java-accessible data source as a SQL table. That turns @duckdb into a single-node query engine for heterogeneous joins across remote systems and local files, with no export step. Dive into the rest:

2026.08.25 18:58

New blog post: DuckDB Table Functions in Java 🦆☕ In a large organization, data is spread across many systems, including relational databases, document stores, message queues, data lakes, and cloud data warehouses. The layer that ties these together is often a JVM-based distributed query engine. Teams increasingly add #DuckDB# to these Java environments for fast single-node analytics. The DuckDB #Java# client can register table functions written in pure Java, exposing any Java-accessible data source as a SQL table. That turns @duckdb into a single-node query engine for heterogeneous joins across remote systems and local files, with no export step. Dive into the rest:

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