Amazon Quick now supports S3 tables bucket as a data source

Amazon Quick Release Notes

Amazon Quick now supports Amazon S3 table buckets as a data source, enabling users to build dashboards, run conversational analytics, and explore Apache Iceberg tables stored in S3 table buckets. This feature allows users to interoperate with their lakehouse data in Amazon Quick for both agentic AI and BI workloads without needing an intermediate data warehouse or OLAP layers.

Paired with Zero-ETL from sources like Salesforce, SAP, and Amazon Kinesis Data Firehose directly into S3 table buckets, users can get near real-time insights with minimal pipeline dependencies. Admins configure S3 table bucket permissions once, and authors can immediately create datasets and start building. S3 table bucket datasets are fully accessible through Amazon Quick's Dataset Q&A, allowing users to ask natural language questions and get answers grounded in their data lake.

What to do

• Configure S3 table bucket permissions once.
• Create datasets and start building.
• Use Dataset Q&A to ask natural language questions.

Amazon S3 table buckets as a data source in Amazon Quick is now available in all AWS Regions where Amazon Quick is available. To get started, see this blog post.

Source: AWS release notes

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