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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.

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The KeyNews take

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 know
  1. AWS Aurora PostgreSQL embeds DuckDB analytical engine

  2. Direct querying of Apache Iceberg data lakes supported

  3. No ETL pipelines or data copying required

  4. Combines live transactions with historical records

  5. Feature availability and pricing not disclosed in excerpt

  6. 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.…
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