Announcing general availability (GA) of HAQM Q generative SQL for HAQM Redshift
HAQM Redshift announces the general availability of HAQM Q generative SQL in HAQM Redshift Query Editor, an out-of-the-box web-based SQL editor for HAQM Redshift. HAQM Q generative SQL simplifies query authoring and increases productivity by allowing you to express queries in natural language and receive SQL code recommendations. Furthermore, it enables you to get insights faster without extensive knowledge of your organization’s complex database schema and metadata.
HAQM Q generative SQL uses generative AI to analyze user intent, query patterns, and schema metadata to identify common SQL query patterns directly within HAQM Redshift, accelerating the query authoring process for users and reducing the time required to derive actionable data insights. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Generative SQL leverages query history for better accuracy and you can further improve accuracy through custom context, such as table descriptions, column descriptions, foreign key and primary key definitions, and sample queries. Custom context enhances the AI model's understanding of your specific data model, business logic, and query patterns, allowing it to generate more relevant and accurate SQL recommendations.
HAQM Q generative SQL in HAQM Redshift is available in the following regions: US East (N. Virginia), US West (Oregon), Asia Pacific (Mumbai), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Europe (Frankfurt), Europe (Paris), and Europe (Ireland) regions. To learn more about pricing, visit the HAQM Q Developer pricing page. See the documentation to get started.