How to integrate Metabase with Mouseflow Data

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use CData Connect AI to connect to live Mouseflow data and create an interactive dashboard in Metabase from Mouseflow data.

Metabase is an open source data visualization tool that allows users to create interactive dashboards. When paired with CData Connect AI, users can easily create visualizations and dashboards linked to live Mouseflow data. This article describes how to connect to Mouseflow and build a simple visualization using Mouseflow data.

CData Connect provides a pure cloud-to-cloud interface for Mouseflow, allowing you to easily integrate with live Mouseflow data in Metabase — without replicating the data. Connect looks exactly like a SQL Server database to Metabase and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Mouseflow, leveraging server-side processing to quickly return Mouseflow data.

Configure Mouseflow Connectivity for Metabase

Connectivity to Mouseflow from Metabase is made possible through CData Connect AI. To work with Mouseflow data from Metabase, we start by creating and configuring a Mouseflow connection.

  1. Log into Connect AI, click Sources, and then click Add Connection
  2. Adding a Connection
  3. Select "Mouseflow" from the Add Connection panel
  4. Selecting a data source
  5. Enter the necessary authentication properties to connect to Mouseflow.

    Start by setting the Profile connection property to the location of the Mouseflow Profile on disk (e.g. C:\profiles\Mouseflow.apip). Next, set the ProfileSettings connection property to the connection string for Mouseflow (see below).

    Mouseflow API Profile Settings

    Retrieve your API key from API > API Key within your Mouseflow account settings. Your region (us or eu) can be determined from your account URL.

    Configuring a connection (Salesforce is shown)
  6. Click Save & Test
  7. Navigate to the Permissions tab in the Add Mouseflow Connection page and update the User-based permissions. Updating permissions

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

  1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
  2. On the Settings page, go to the Access Tokens section and click Create PAT.
  3. Give the PAT a name and click Create. Creating a new PAT
  4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Mouseflow data from Metabase.

Connect to CData Connect AI from Metabase

After creating the connection in Connect AI, navigate to your Metabase instance. Use the SQL Server interface to connect to Connect AI.

  1. Navigate to the administration screen (Settings -> Admin) and click "Add Database" from the "Databases" tab Adding a new database connection to Metabase.
  2. Configure the connection to Connect AI and click "Save"
    • Database type: Select "SQL Server"
    • Name: Name the connection (e.g. "Mouseflow (Connect AI)")
    • Host: tds.cdata.com
    • Port: 14333
    • Database name: The name of the connection you just created (e.g. API1)
    • Username: A Connect AI username (e.g. [email protected])
    • Password: The PAT previously created
    • Click to Use a secure connection (SSL)
    Configuring the connection to Connect AI.

Execute Mouseflow Data with Metabase

Once you configure the connection to Connect AI, you can query Mouseflow and build visualizations.

  1. Use the "Write SQL" tool to retrieve the Mouseflow data Click the
  2. Write a SQL query based on the Mouseflow connection in CData Connect AI, e.g.

    SELECT WebsiteId, CampaignId FROM FeedbackCampaigns WHERE Enabled = 'true'
    Collected data (Salesforce is shown).
  3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization Collected data (Salesforce is shown).

More Information & Free Trial

At this point, you have built a simple visualization from Mouseflow data in Metabase. You can continue to work with live Mouseflow data in Metabase just like you would any SQL Server database. For more information on creating a live connection to Mouseflow (and more than 100 other data sources), visit the Connect AI page. Sign up for a free trial and start working with live Mouseflow data in Metabase today.

Ready to get started?

Learn more about CData Connect AI or sign up for free trial access:

Free Trial