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SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for PostgreSQL allows you to easily transfer PostgreSQL data. In this article you will export data from SQL Server to PostgreSQL.
To get started, add a new ADO.NET Source control and a new PostgreSQL Destination control to the data flow task.
π The source and destination components used in this example.Follow the steps below to specify properties required to connect to the SQL Server instance.
Follow the steps below to set required connection properties in the Connection Manager.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
You can use SSH (Secure Shell) to authenticate with PostgreSQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
To connect to PostgreSQL via SSH in Password Auth mode, set the following connection properties:
In the destination component Connection Manager, define mappings from the SQL Server source table into the PostgreSQL destination table and the action you want to perform on the PostgreSQL data. In this article, you will insert Orders entities to PostgreSQL.
You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.
π The SQL Server table to export into PostgreSQL.Download a free trial of the PostgreSQL SSIS Component to get started:
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π PostgreSQL IconPowerful SSIS Source & Destination Components that allows you to easily connect SQL Server with PostgreSQL-compatible database engines through SSIS Workflows.
Use the PostgreSQL Data Flow Components to synchronize with PostgreSQL. Perfect for data synchronization, local back-ups, workflow automation, and more!