Amazon Quick adds support for S3 table buckets as a data source

Amazon Quick has introduced support for Amazon S3 table buckets as a new data source option. This enhancement allows users to create dashboards, perform conversational analytics, and delve into Apache Iceberg tables that are stored within S3 table buckets. Notably, this integration eliminates the need for intermediate data warehouses or OLAP layers, streamlining the process for users to interact with their lakehouse data directly through Amazon Quick for both agentic AI and business intelligence (BI) tasks, all facilitated by a simplified data architecture.

Additionally, the integration with Zero-ETL technology allows users to channel data from platforms such as Salesforce, SAP, and Amazon Kinesis Data Firehose directly into S3 table buckets. This setup provides users with near real-time insights while minimizing dependencies on data pipelines. The process to begin using this feature is user-friendly: administrators need to configure the permissions for the S3 table buckets just once, after which authors can promptly create datasets and begin building analytics solutions. Through Amazon Quick’s Dataset Q&A feature, users can ask natural language questions and receive answers directly based on the data lake, ensuring the data remains the primary source of truth.

The new feature of using Amazon S3 table buckets as a data source in Amazon Quick is now accessible in all AWS Regions where Amazon Quick is offered. For those interested in getting started, further details can be found in the associated blog post.