Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lake

Event type: UpdatePrimary topic: Databases Also: Data Engineering Also: Cloud Infrastructure

First reported SEP 30, 2026 · 17:22 UTC · 24d ago · 1 source

Crest summary — written by AI from the 1 source below; every figure is checked against them · model deepseek-chat

Summary

Amazon Aurora PostgreSQL can now query Apache Iceberg and Parquet data in data lakes directly, using embedded DuckDB, without ETL pipelines. The capability allows single queries joining transactional and historical data.

Key facts

Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in data lakes.
The feature is powered by DuckDB embedded within Aurora.
No ETL pipelines are required to query the data lake data.
Single queries can join transactional and historical data.

Why it matters

Teams using Aurora PostgreSQL can combine live operational data with data lake data in one query, potentially reducing the need to build and maintain ETL pipelines for such joins.

Companies

Amazon

Technologies

Apache Icebergstandard
DuckDBproduct
Amazon Aurora PostgreSQLproduct
Parquetstandard

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Repositories

Original sources (1)

The report this event was built from. Crest of Tech keeps no article bodies: the full text is at each source.

AWS News BlogOfficial · Primary
Amazon Aurora PostgreSQL now supports direct querying of Apache Iceberg and Parquet data in your data lakeSEP 30, 2026 · 17:22 UTC · By Esra Kayabali
Read at AWS News Blog