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Create Reports from Confluence Data in Google Data Studio

Use the CData Cloud Hub to create a virtual MySQL Database for Confluence data and create custom reports in Google Data Studio.

Google Data Studio allows you to create branded reports with data visualizations to share with your clients. When paired with the CData Cloud Hub, you get instant, cloud-to-cloud access to Confluence data for visualizations, dashboards, and more. This article shows how to create a virtual database for Confluence and build reports from Confluence data in Google Data Studio.

The CData Cloud Hub provides a pure cloud-to-cloud interface for Confluence, allowing you to easily build reports from live Confluence data in Google Data Studio — without replicating the data. As you build visualizations, Google Data Studio generates queries to gather data. Using optimized data processing out of the box, the CData Cloud Hub pushes all supported query operations (filters, JOINs, etc) directly to Confluence, leveraging server-side processing to quickly return Confluence data.

This article requires a CData Cloud Hub instance and the CData Cloud Hub Connector for Google Data Studio. Get more information on the CData Cloud Hub and sign up for a free trial at https://www.cdata.com/cloudhub.


Connect to Confluence from the Cloud Hub

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

  1. Log into Cloud Hub and click Databases.
  2. Select "Confluence" from Available Data Sources.
  3. Enter the necessary authentication properties to connect to Confluence.

    Obtaining an API Token

    An API token is necessary for account authentication. To generate one, login to your Atlassian account and navigate to API tokens > Create API token. The generated token will be displayed.

    Connect Using a Confluence Cloud Account

    To connect to a Cloud account, provide the following (Note: Password has been deprecated for connecting to a Cloud Account and is now used only to connect to a Server Instance.):

    • User: The user which will be used to authenticate with the Confluence server.
    • APIToken: The API Token associated with the currently authenticated user.
    • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.

    Connect Using a Confluence Server Instance

    To connect to a Server instance, provide the following:

    • User: The user which will be used to authenticate with the Confluence instance.
    • Password: The password which will be used to authenticate with the Confluence server.
    • Url: The URL associated with your JIRA endpoint. For example, https://yoursitename.atlassian.net.
  4. Click Test Database.
  5. 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 Confluence data from Google Data Studio.

Visualize Live Confluence Data in Google Data Studio

The steps below outline connecting to the CData Cloud Hub from Google Data Studio to create a new Confluence data source and build a simple visualization from the data.

  1. Log into Google Data Studio, click data sources, create a new data source, and choose CData Cloud Hub Connector.
  2. Authorize the Connector to connect to an external service (your Cloud Hub instance).
  3. Use your instance name (myinstance in myinstance.cdatacloud.net), username, and password to connect to your Cloud Hub instance.
    • Username: myinstance/username
    • Password: your Cloud Hub password
  4. Select a Database (e.g. Confluence1) and click Next.
  5. Select a Table (e.g. Pages) and click Next.
  6. Click Connect.
  7. If needed, modify columns, click Create Report, and add the data source to the report.
  8. Select a visualization style and add it to the report.
  9. Select Dimensions and Measures to customize your visualization.

Optional: Connect with the MySQL Connector

If you need to work with data from a custom SQL query, you can use the MySQL Connector. Connect using the server information for your Cloud Hub instance (server address, port, username, and password).

SQL Access to Confluence Data from Cloud Applications

Now you have a direct, cloud-to-cloud connection to live Confluence data from your Google Data Studio workbook. You can create more data sources and new visualizations, build reports, and more — all without replicating Confluence data.

Try the CData Cloud Hub and get SQL data access to 100+ SaaS, Big Data, and NoSQL sources directly from your cloud applications.