How to integrate Metabase with Everhour 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 Everhour data. This article describes how to connect to Everhour and build a simple visualization using Everhour data.

CData Connect provides a pure cloud-to-cloud interface for Everhour, allowing you to easily integrate with live Everhour 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 Everhour, leveraging server-side processing to quickly return Everhour data.

Configure Everhour Connectivity for Metabase

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

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "Everhour" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Everhour.

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

   Everhour API Profile Settings

   Obtain your API Key from your Everhour profile page (scroll to the bottom of the page).

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Everhour Connection page and update the User-based 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.
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 Everhour 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
2. Configure the connection to Connect AI and click "Save"
   • Database type: Select "SQL Server"
   • Name: Name the connection (e.g. "Everhour (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)
   

Execute Everhour Data with Metabase

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

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

   SELECT Id, ProjectId FROM Assignments WHERE Type = 'assignment'

   
3. Navigate to the "Visualization" screen, choose a visualization, and configure the visualization

More Information & Free Trial

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