The Microsoft Azure SQL database is certified by Informatica to create the Model repository. Complete the following tasks to prepare the Microsoft Azure SQL database for the Model repository and for the monitoring Model repository or to create a container database:

Create the database with the
required parameters
, allowing for 200 MB of disk space.
Set up database user accounts
.

You can use an Oracle database if you can ensure proper connectivity between the database and the Kubernetes cluster. Complete the following tasks to prepare an Oracle database for the Model repository and for the monitoring Model repository or to create a container database:

Create the database with the
required parameters
, allowing for 200 MB of disk space.
Set up database user accounts
.
Install compatible versions of the Oracle client and Oracle database server. You must also install the same version of the Oracle client on all machines that require it.

You can use a PostgreSQL database if you can ensure proper connectivity between the database and the Kubernetes cluster. Complete the following tasks to prepare a PostgreSQL database for the Model repository and for the monitoring Model repository or to create a container database:

Create the database with the
required parameters
, allowing for 200 MB of disk space.
Set up database user accounts
.

You do not need to install the PostgreSQL client software, as the installer bundles it with the image.

You can use a Microsoft SQL Server database if you can ensure proper connectivity between the database and the Kubernetes cluster. Complete the following tasks to prepare a Microsoft SQL Server database for the Model repository and for the monitoring Model repository or to create a container database:

Create the database with the
required parameters
, allowing for 200 MB of disk space.
Set up database user accounts
.