Amazon Aurora PostgreSQL enables direct querying of Iceberg and Parquet data

Source published 2h 26m agoTerminal published 2h 23m ago

Summary

Amazon has announced a significant upgrade to its Aurora PostgreSQL service, enabling users to directly query live operational data alongside historical data stored in data lakes using Apache Iceberg and Parquet formats. This new capability eliminates the need for complex ETL pipelines that previously required duplicating data between systems, reducing operational complexity and facilitating real-time analytics. The integration of DuckDB, an open-source engine known for its efficiency in data processing, enhances this functionality by allowing seamless querying of data without the need to pre-copy it. This improvement is particularly beneficial for developers building AI applications, as it provides flexible access to relevant datasets in response to varied tasks without predicting all data needs in advance.

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Analysis

DuckDB: DuckDB is a popular open-source analytical database engine optimized for efficient reading and analysis of data in its original location using open formats such as Parquet and Iceberg. The team behind DuckDB recently joined Amazon, enabling its integration directly into Aurora PostgreSQL so queries can combine live operational data with data lake contents in a single operation. This embedding keeps processing within Aurora with no additional network hops. Amazon Web Services: Amazon Web Services is the cloud computing platform from Amazon that provides a broad range of managed services including databases, analytics, and storage. AWS is delivering the new direct querying capability in Aurora PostgreSQL across commercial and GovCloud regions, making it available at no additional charge beyond standard compute and S3 request costs. The service also supports federation with external Iceberg REST catalogs through the AWS Glue Data Catalog. Amazon Aurora PostgreSQL: Amazon Aurora PostgreSQL is a managed relational database service offered by AWS that is compatible with the open-source PostgreSQL engine and designed for high performance and scalability. In this announcement, it gains the ability to directly query Apache Iceberg and Parquet data stored in Amazon S3 data lakes alongside operational data using familiar PostgreSQL syntax and tools. The feature embeds DuckDB to handle analytical scans without requiring data movement or ETL pipelines. AI Applications: Direct querying of live and historical data without pre-copying supports the development of AI agents that require flexible access to specific datasets depending on the task. Data Management: The new capability eliminates the need for ETL pipelines that previously duplicated data between operational databases and data lakes to keep them synchronized. Open Source Integration: Embedding DuckDB into Aurora PostgreSQL allows future improvements to the open-source engine to deliver ongoing performance and functionality gains to AWS services.

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