Connect to Datadog Data in RazorSQL
The CData JDBC Driver for Datadog enables standards-based access from third-party tools, from wizards in IDEs to data management and analysis tools. This article shows how to connect to Datadog using wizards in RazorSQL.
Create a JDBC Data Source for Datadog Data
- Open the RazorSQL application and, in the Connections menu, select Add Connection Profile -> Other -> JDBC.
- In the Connection Wizard that appears, set the following properties:
- Driver Location: Set this property to the path to the lib subfolder in the installation directory.
- Driver Class: Set the driver class to cdata.jdbc.api.APIDriver.
- Username: Enter the username. (This property can also be set in the JDBC URL.)
- Password: Enter the password. (This property can also be set in the JDBC URL.)
JDBC URL: Enter connection parameters. The JDBC URL begins with jdbc:api: and is followed by a semicolon-separated list of connection properties.
Start by setting the Profile connection property to the location of the Datadog Profile on disk (e.g. C:\profiles\Datadog.apip). Next, set the ProfileSettings connection property to the connection string for Datadog (see below).
Datadog API Profile Settings
In your Datadog account, navigate to Organization Settings > API Keys to create an API Key, and Organization Settings > Application Keys to create an Application Key. Both are required.
Built-in Connection String Designer
For assistance in constructing the JDBC URL, use the connection string designer built into the Datadog JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties and copy the connection string to the clipboard.
A typical JDBC URL is the following:
jdbc:api:Profile=C:\profiles\Datadog.apip;ProfileSettings='APIKey=your_api_key;ApplicationKey=your_app_key';
Query Datadog Data and Select Tables
After establishing a connection, the wizard will close and the connection will be available in the connections panel. You can then query the tables.