Here are some of the key features, you have to familiar with related to SQL Workbench.
Ability to connect to different RDBMS, Data Warehouse and MPP Database servers such as Postgres, MySQL, Oracle, Redshift etc.
Saving profiles to connect to multiple databases.
Ability to access data dictionary or information schema using wizards to validate tables, columns, sequences, indexes, constraints etc.
Generate scripts out of existing data.
Ability to manage database objects without writing any commands. We can drop tables, indexes, sequences etc by right clicking and then selecting drop option.
Develop SQL files and preserve them for future usage.
Almost all leading IDEs provide all these features in similar fashion.
Here are some of the usage scenarios for database IDEs such as SQL Workbench as part of day to day responsibilities.
Developers for generating and validating data as part of unit testing.
Testers to validate data for their test cases.
Business Analysts and Data Analysts to run ad hoc queries to understand the data better.
Developers to troubleshoot data related to production issues using read only accounts.
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