Connect to AWS Aurora PostgreSQL Server and Serverless instances

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Manage AWS Management data with visual tools in DBeaver like the query Learn more about the CData JDBC Driver for AWS Management or download a. DbVisualizer is tested with the major databases and JDBC drivers. Runs on Windows Guide: Connect easily to your PostgreSQL database. Follow our Users Example: More information and download Amazon Redshift. Azure SQL*. Db2. For example, for Tomcat, copy the JAR file into the /lib directory. Install and use a database tool to connect to the Amazon RDS Postgresql.

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How to Connect to Amazon Aurora PostgreSQL Compatible

Amazon Aurora PostgreSQL-compatibility features an easy setup and better performance to increase throughput up to 3x.

User can launch a PostgreSQL-compatible Amazon Aurora instance from the RDS Console by selecting Amazon Aurora as the engine and PostgreSQL-compatible as the edition.

Visit Amazon's AWS&#;blog for details on creating an instance.

Features

The new edition is compatible with PostgreSQL and it supports PostgreSQL functions and SQL patterns.

MicroStrategy adds a new entry for Amazon Aurora PostgreSQL which uses the native PostgreSQL Unicode(x64) ODBC and PostgreSQL JDBC driver to connect.

For Developer

User can create DB instances for Amazon Aurora PostgreSQL.

Select Amazon Aurora PostgreSQL-Compatible as the Database connection type and the PostgreSQL Unicode(x64) ODBC Driver DSN. Then user can continue to setup projects to retrieve data and do schema works.

Accessing the Connector in MicroStrategy

Choose Add Data > New Data.
Find the Amazon Aurora PostgreSQL from the data source list.
Click the connector.

Using the Amazon Aurora PostgreSQL Compatible Connector to Import Data

Choose Select Tables, Type a Query, or Build a Query to connect the data source.
Click Next.
Use one of these methods to create the data source:
- DSN Data Sources: Select the DSN created for Amazon Aurora PostgreSQL and enter the user name and password.
- DSN-less Data Sources: Enter the Host Name, Port Number, Database Name and Credentials. Click Show Connection String to see the full connection details.
Click the connection you created to connect to Amazon Aurora PostgreSQL data source.

Example Using the Amazon Aurora PostgreSQL&#;Connector:

Let's use Select Tables as an example to continue the data import process.

Click the Amazon Aurora PostgreSQL data source and select the tables you want to import.
Click Prepare Data.
Click Finish.
Select Import as an In-memory Dataset to import the data to your MicroStrategy platform or Connect Live mode to run against the data warehouse when creating dossiers or reports.

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