Amazon Q generative SQL in Amazon Redshift Query Editor now available in additional AWS regions
Amazon Q generative SQL in Amazon Redshift Query Editor is available in AWS South America (Sao Paulo), Europe (London), and Canada (Central) regions. Amazon Q generative SQL is available in Amazon Redshift Query Editor, an out-of-the-box web-based SQL editor for Amazon Redshift, to simplify SQL query authoring and increase your productivity by allowing you to express SQL queries in natural language and receive SQL code recommendations. Furthermore, it allows you to get insights faster without extensive knowledge of your organization’s complex Amazon Redshift database metadata.
Amazon Q generative SQL uses generative Artificial Intelligence (AI) to analyze user intent, SQL query patterns, and schema metadata to identify common SQL query patterns directly within Amazon Redshift, accelerating the SQL query authoring process for users, and reducing the time required to derive actionable data insights. Amazon Q generative SQL provides a conversational interface where users can submit SQL queries in natural language, within the scope of their current data permissions. For example, when you submit a question such as 'Find total revenue by region,' Amazon Q generative SQL will recognize and suggest the appropriate SQL code for this frequent query pattern by joining multiple Amazon Redshift tables, thus saving time and decreasing the likelihood of errors. You can either accept the query or enhance your prior query by asking additional questions.
To learn more about pricing, visit the Amazon Q Developer pricing page. See the documentation to get started.