Connecting to Amazon Aurora database

Applies to: Dataedo 10.x versions, Article available also for: 24.x (current), 23.x
You are looking at documentation for an older release.
Switch to the documentation for Dataedo 24.x (current).

To connect to Amazon Aurora MySQL/Amazon Aurora PostgreSQL database create new documentation by clicking Add documentation and choosing Database connection.

Connection to SQL Server

On the connection screen choose Amazon Aurora MySQL/Amazon Aurora PostgreSQL as DBMS.

Provide database connection details:

  • Host - provide a host name, endpoint or address where a database is on. E.g. server17, server17.ourdomain.com or 192.168.0.37.
  • Port - change the default port of Amazon Aurora MySQL/Amazon Aurora PostgreSQL instance if required
  • User and password - provide your username and password
  • Database - type in database name or click [...] and choose it from the list.

Amazon Aurora PostgreSQL

Connection to SQL Server

Here is a comparison with connection details in pgAdmin.

Connection to SQL Server

Connection to SQL Server

Amazon Aurora MySQL

Connection to SQL Server

Here is a comparison with connection details in MySQL Workbench.

Connection to SQL Server

Connection to SQL Server

Saving password

You can save password for later connections by checking Save password option. Password are saved in the repository database.

Importing schema

When connection was successful Dataedo will read objects and show a list of objects found. You can choose which objects to import. You can also use advanced filter to narrow down list of objects.

Objects to import

Confirm list of objects to import by clicking Next.

Next screen with allow you to change default name of the documentation under with your schema will be visible in Dataedo repository.

Change title

Click Import to start the import.

Importing documentation

When done close import window with Finish button.

Import succeeded

Your database schema has been imported to new documentation in the repository.

Imported database schema

Amazon Aurora support

Learn more about Amazon Aurora in Dataedo.