![]() |
VOOZH | about |
The CData JDBC Driver for PostgreSQL integrates PostgreSQL data with wizards and analytics in IDEs like Aqua Data Studio. This article shows how to connect to PostgreSQL data through the connection manager and execute queries.
You can use the connection manager to define connection properties and save them in a new JDBC data source. The PostgreSQL data source can then be accessed from Aqua Data Studio tools.
URL: Enter the JDBC URL, which starts with jdbc:postgresql: and is followed by a semicolon-separated list of connection properties.
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:
For assistance in constructing the JDBC URL, use the connection string designer built into the PostgreSQL JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.postgresql.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:postgresql:User=postgres;Password=admin;Database=postgres;Server=127.0.0.1;Port=5432;
You can now query the tables exposed.
👁 A query executed in the Table Data Editor. (QuickBooks is shown.)Download a free trial of the PostgreSQL Driver to get started:
Download NowLearn more:
👁 PostgreSQL IconRapidly create and deploy powerful Java applications that integrate with PostgreSQL-compatible database engines.