AWS rds: Add Aurora query of Iceberg/Parquet data lake feature
Summary
Adds a new developer productivity feature section and navigation entry describing Aurora PostgreSQL's ability to directly query Apache Iceberg and Parquet data in Amazon S3/S3 Tables and AWS Glue Data Catalog.
Security assessment
This is a product feature announcement about querying data lake formats from Aurora; it describes functionality and cost/complexity benefits, not a security fix or hardening guidance.
Evidence
+Aurora PostgreSQL enables developers and AI agents to [directly query operational data together with data stored in open table formats](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/query-iceberg-and-parquet-data.html) on Amazon S3 and S3 Tables through the same PostgreSQL applications, tools, and endpoints you already use. You can also access data from external catalogs through the AWS Glue Data Catalog. Your historical data stays in your data lake, accessible and queryable alongside your live operational data with no data movement or duplication. By eliminating reverse ETL pipelines, you reduce operational complexity, lower infrastructure costs, and simplify application development.
Diff
diff --git a/rds/latest/auroraextendedcontent/aurora-features-developer-productivity.md b/rds/latest/auroraextendedcontent/aurora-features-developer-productivity.md index a28649d..a840e09 100644 --- a//rds/latest/auroraextendedcontent/aurora-features-developer-productivity.md +++ b//rds/latest/auroraextendedcontent/aurora-features-developer-productivity.md @@ -7 +7 @@ -MCP serversAgentic toolsAgent skillsZero-ETL integration with Amazon RedshiftZero-ETL integration with Amazon SageMakerRDS ProxyData API +Directly query Apache Iceberg and Parquet data in your data lake – NEW!MCP serversAgentic toolsAgent skillsZero-ETL integration with Amazon RedshiftZero-ETL integration with Amazon SageMakerRDS ProxyData API @@ -12,0 +13,2 @@ MCP serversAgentic toolsAgent skillsZero-ETL integration with Amazon RedshiftZer + * Directly query Apache Iceberg and Parquet data in your data lake – NEW! + @@ -29,0 +32,4 @@ MCP serversAgentic toolsAgent skillsZero-ETL integration with Amazon RedshiftZer +## Directly query Apache Iceberg and Parquet data in your data lake – NEW! + +Aurora PostgreSQL enables developers and AI agents to [directly query operational data together with data stored in open table formats](https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/query-iceberg-and-parquet-data.html) on Amazon S3 and S3 Tables through the same PostgreSQL applications, tools, and endpoints you already use. You can also access data from external catalogs through the AWS Glue Data Catalog. Your historical data stays in your data lake, accessible and queryable alongside your live operational data with no data movement or duplication. By eliminating reverse ETL pipelines, you reduce operational complexity, lower infrastructure costs, and simplify application development. +