How to Query Datadog Data in MySQL Workbench

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute MySQL queries against live Datadog data from MySQL Workbench.

You can use the SQL Gateway from the ODBC Driver for Datadog to query Datadog data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and work with live Datadog data in MySQL Workbench.

Connect to Datadog Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Datadog data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Query Datadog from MySQL Workbench

The steps below outline connecting to the virtual Datadog database created in the SQL Gateway from MySQL Workbench and issuing basic queries to work with live Datadog data.

Connect to Datadog through the SQL Gateway

  1. In MySQL Workbench, click to add a new MySQL connection.
  2. Name the connection (CData SQL Gateway for Datadog).
  3. Set the Hostname, Port, and Username parameters to connect to the SQL Gateway.
  4. Click Store in Vault to set and store the password.
  5. Click Test Connection to ensure the connection is configured properly and click OK.

NOTE: When we refer to Username and Password, we mean the credentials for the user(s) created for the SQL Gateway.

Query Datadog Data

  1. Open the connection you just created (CData SQL Gateway for Datadog).
  2. Click File -> New Query Tab.
  3. Write a SQL query to retrieve Datadog data, like SELECT * FROM `CData API Sys`.APMRetentionFilters;

With access to live Datadog data from MySQL Workbench, you can easily work with Datadog, just like you would a MySQL database. Get started now with a free, 30-day trial of the CData API Driver for ODBC and the CData SQL Gateway.

Ready to get started?

Connect to live data from Datadog with the API Driver

Connect to Datadog