Amazon Redshift Query Editor
Explore, share, and collaborate on data using SQL
Now with Amazon Q generative SQL in Amazon Redshift Query Editor (preview)
Amazon Redshift Query Editor is a web-based analyst workbench for you to securely explore, share, and collaborate on data with your teams using SQL within a common notebook interface. Amazon Redshift Query Editor makes it easy to query your data using SQL and gain insights by visualizing your results using charts and graphs with a few clicks.
Now with Amazon Q generative SQL in Amazon Redshift Query Editor (preview) you can securely write query requests in plain English directly within Amazon Redshift Query Editor within the scope of your current data access permissions and receive accurate SQL code recommendations.

Benefits
Simplify access to data
Query and analyze your data in Amazon Redshift Query Editor SQL Notebooks without requiring permissions to access the Amazon Redshift console. Use Query Editor features such as navigator and visual wizards to browse database objects, create tables and functions, and load.
Reduce time to insights
Accelerate query authoring by submitting query requests in natural language and receive custom SQL code recommendations based on your organization’s schema metadata with Amazon Q generative SQL in Amazon Redshift Query Editor (preview). Amazon Q generative SQL in Query Editor analyzes user intent, query patterns, and schema metadata to quickly generate SQL code based on trained Large Language Models (LLM) - enabling users to derive insights faster. Run multiple queries, and execute multi-statement queries with multiple results with autocomplete commands. Analyze and sort data without having to re-run queries, then export results as JSON/CSV, and build charts for visual analysis.
Share findings with teammates
Collaborate and share different versions of queries, results, and charts for iteration and updates with Amazon Redshift Query Editor’s automatic version management.
How to get started with Amazon Redshift Query Editor
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