Query Google Analytics Data in MySQL Workbench

MySQL Workbench allows users to administer MySQL environments and gain better visibility into databases. When paired with CData Connect (on-premise or Connect Server), you get live access to Google Analytics data as if it were a MySQL database. This article shows how to create a virtual database for Google Analytics in Connect and work with live Google Analytics data in MySQL Workbench.

Create a Virtual MySQL Database for Google Analytics Data

CData Connect uses a straightforward, point-and-click interface to connect to data sources and generate APIs.

1. Login to Connect and click Connections.
2. Select "Google Analytics" from Available Data Sources.
3. Google Analytics uses OAuth to authenticate. Click Connect to authenticate with Google Analytics.
4. Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.

With the virtual database created, you are ready to connect to Google Analytics from MySQL Workbench.

Query Google Analytics from MySQL Workbench

The steps below outline connecting to the virtual Google Analytics database in Connect from MySQL Workbench and issuing basic queries to work with live Google Analytics data.

Connect to Google Analytics through Connect

1. In MySQL Workbench, click to add a new MySQL connection.
2. Name the connection (CData Connect).
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.

Query Google Analytics Data

1. Open the connection you just created (CData Connect).
2. Click File -> New Query Tab.
3. Write a SQL query to retrieve Google Analytics data, like SELECT * FROM ganalyticsdb.Traffic;

With access to live Google Analytics data from MySQL Workbench, you can easily query and update Google Analytics, just like you would a MySQL database. Request a demo of the CData Connect and start working with Google Analytics just like a MySQL database today.