--- title: Databricks Integration Overview description: Integrations with Other Tools & Policies --- [Skip to content](https://support.trustible.ai/integrations#main-content) ![White](https://support.trustible.ai/hs-fs/hubfs/White.png?width=350&height=69&name=White.png) Open main navigation Close main navigation - [Contact Us](mailto:support@trustible.ai) [Contact Us](mailto:support@trustible.ai) How can we help you? - There are no suggestions because the search field is empty. 1. [Trustible Support Hub](https://support.trustible.ai/?hsLang=en) 2. [Available Integrations](https://support.trustible.ai/available-integrations?hsLang=en) 3. [Softwares](https://support.trustible.ai/available-integrations?hsLang=en#softwares) # Databricks Integration Overview The Trustible platforms supports a Databricks integration that allows transferring data on Model Card Inventory items. This guide covers how to set-up the integration and transfer data into the platform. **Note**: Currently we only support transferring MLFlow metrics/parameters into standard Trustible Model Card documentation fields and onto existing use cases. The integration does not support creating net-new model profiles within the Trustible platform.  ### Set-up \[Admin-Only\] To connect to Databricks, you will need to set-up a Service Principal and grant it access to the relevant models/notebooks/files in your Workspace. A service principal is a separate identity for connecting to external services - this will give you control over what Trustible can access. Read instructions for generating tokens in the [Databricks Documentation](https://docs.databricks.com/dev-tools/service-principals.html). To add a token into the platform: 1. Create a **personal access tokens** for the Service Principle following the [Databricks Documentation](https://docs.databricks.com/en/admin/users-groups/service-principals.html#manage-personal-access-tokens-for-a-service-principal). It will look like `dapixxxx` 2. Go to [https://app.trustible.ai/integrations/databricks/create-token/](https://app.trustible.ai/integrations/databricks/create-token/) and enter info for this token: 1. **Unique Key:** An identifier for tracking keys in Trustible 2. **Databricks Url:** Link to workspace (`https://dbc-{XXX}.cloud.databricks.com`) 3. **Databricks Access Token:** Token from Step 1 ### MLFlow Data Transfer The MLFlow Integration is currently available for specific documentation fields on the Model Card. To use the integration, the following conditions must be met: 1. The “Registered Model” has a Run associated with it  ![Untitled](https://support.trustible.ai/hs-fs/hubfs/Untitled.png?width=670&height=183&name=Untitled.png) 2. The Service Principle has access to the Registered Model and Run.  ![Untitled (1)](https://support.trustible.ai/hs-fs/hubfs/Untitled%20(1).png?width=670&height=279&name=Untitled%20(1).png) Copying over the data: 1\. If the Databricks Integration is available, then the “Databricks” button will be available in Edit mode for the field: ![image (6)](https://support.trustible.ai/hs-fs/hubfs/image%20(6).png?width=670&height=315&name=image%20(6).png) 2\. Data can be accessed by: 1. 1. Registered Model: Will identify the Run associated with the latest version of the model  ![Untitled (2)](https://support.trustible.ai/hs-fs/hubfs/Untitled%20(2).png?width=670&height=295&name=Untitled%20(2).png) 2. Specific Run ID 3\. The next view will show you all the available Metrics/Parameters. Select the ones that should be copied over and add custom names/comments. This data will be stored as a special JSON on the field. When you are done, click `Copy to Form`.  ![image (7)](https://support.trustible.ai/hs-fs/hubfs/image%20(7).png?width=670&height=480&name=image%20(7).png) 4\. 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