Amazon Redshift Query Editor v2.0 is a web-based analyst workbench for you to explore, share, and collaborate on data with your teams in SQL through a common interface.
Amazon Redshift Query Editor v2.0 makes it easy to query your data using SQL and gain insights by visualizing your results using charts and graphs with a few clicks. With Amazon Redshift Query Editor v2.0, you can collaborate with team members by easily sharing saved queries, results, and analyses in a secure way.
Amazon Redshift simplifies organizing, documenting, and sharing multiple SQL queries with support for SQL Notebooks (preview) in Amazon Redshift Query Editor V2. The new Notebook interface enables users such as data analysts and data scientists to author queries more easily, organizing multiple SQL queries and annotations on a single document. They can also collaborate with their team members by sharing Notebooks.
How it works
Features
Simplify access to data
Easy access
Amazon Redshift Query Editor v2.0 is a web-based tool that allows you to query and analyze data without requiring permissions to access the Amazon Redshift console.
Browsing and visualization
Use Redshift Query Editor v2.0 navigator to browse database objects including tables, views, and stored procedures. Use visual wizards to create tables, functions, and load and unload data.
SQL Notebooks support (preview)
Organize related queries by saving them together in a folder, or combining them into a single saved query with multiple statements.
Reduce time to insight
Powerful query editor
Use Amazon Redshift Query Editor v2.0’s powerful query editor to auto-complete commands, run multiple queries, and execute multi-statement queries with multiple results.
Exporting and building charts
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
Easy collaboration
Use Amazon Redshift Query Editor v2.0’s automatic version management for saved queries to easily collaborate with other SQL users using a common interface. You can collaborate and share different versions of queries, results, and charts for iteration and updates.
