AWS embeds DuckDB in its PostgreSQL DBMS to speed queries of live and historical data
AWS just fused two data worlds. Aurora PostgreSQL can now query Apache Iceberg directly—no ETL, no copies—by embedding DuckDB. That changes how you architect live-plus-historical queries.

Why it matters
AWS Aurora PostgreSQL now embeds DuckDB to query Apache Iceberg data lakes directly, eliminating ETL pipelines and data duplication. This is a material integration for enterprises running transactional and analytical workloads on the same database, lowering operational overhead and latency for hybrid queries.
The key facts
6 to knowAWS Aurora PostgreSQL embeds DuckDB analytical engine
Direct querying of Apache Iceberg data lakes supported
No ETL pipelines or data copying required
Combines live transactions with historical records
Feature availability and pricing not disclosed in excerpt
GA status not confirmed in excerpt
Go to the source
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Publisher excerpt: Amazon Web Services Inc. is adding the ability to query the popular Apache Iceberg data lake directly from its Aurora PostgreSQL database management system, allowing applications to combine live transactions with historical records without copying data or creating extract/transform/load pipelines.…