How to integrate Azure DevOps with Power BI

Integrate Power BI and Azure DevOps
Integrate Power BI and Azure DevOps

Learn how to quickly and efficiently connect Azure DevOps with Power BI for smooth data access.

Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required. You can do it all using the high-performance Azure DevOps ODBC Driver for Power BI (often referred to as the Azure DevOps Connector). We'll walk you through the entire setup.

Ready to dive in? Download the product to jump right in, or follow the step-by-step guide below to see how it works.

Video Tutorial

This video covers the following topics and more, so please watch carefully. After watching the video, follow the steps outlined in this article:

  • How to download and install the required PowerPack for Azure DevOps integration in Power BI
  • How to configure the connection for Azure DevOps
  • Features of the ZappySys API Driver (Authentication / Query Language / Examples / Driver UI)
  • How to use the Azure DevOps in Power BI

Create data source using Azure DevOps ODBC Driver

Step-by-step instructions

To get data from Azure DevOps using Power BI, we first need to create an ODBC data source. We will later read this data in Power BI. Perform these steps:

  1. Download and install ODBC PowerPack (if you haven't already).

  2. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source
  3. Create a User data source (User DSN) based on the ZappySys API Driver driver:

    ZappySys API Driver
    Create new User DSN for ZappySys API Driver
    • Create and use a User DSN if the client application runs under a User Account. This is the ideal option at design time (e.g., when developing in Visual Studio). Use it for both types of applications (64-bit and 32-bit).
    • Create and use a System DSN if the client application runs under a System Account (e.g., as a Windows Service). This is usually the required option in a production environment. If your Windows Service is a 32-bit application, you must use the 32-bit ODBC Data Source Administrator to configure this
    When deployed to production, Power BI runs under a Service Account. Therefore, for the production environment, you must create and use a System DSN.
  4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Azure DevOps" from the list of Popular Connectors. If "Azure DevOps" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

    AzureDevopsDSN
    Azure DevOps
    ODBC DSN Template Selection
  5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    Azure DevOps authentication

    Delegated access using OAuth authorization code flow. Users sign in with their Azure AD account. [API reference]

    Follow these simple steps below to create Microsoft Entra ID application with delegated access:

    WARNING: To automate your company's processes, make sure you use a system/generic account (e.g. automation@my-company.com). When you use a personal account which is tied to a specific employee profile and that employee leaves the company, the token may become invalid and any automated processes using that token will start to fail.
    1. Navigate to the Azure Portal and log in using your credentials.
    2. Access Microsoft Entra ID.
    3. Register a new application by going to App registrations and clicking on New registration button: Start new app registration in Microsoft Entra ID
      INFO: Find more information on how to register an application in Graph API reference.
    4. When configuration window opens, configure these fields:
      • Supported account type
        • Use Accounts in this organizational directory only, if you need access to data in your organization only.
      • Redirect URI:
        • Set the type to Public client/native (mobile & desktop).
        • Use https://zappysys.com/oauth as the URL.
      Register app in Microsoft Entra ID
    5. After registering the app, copy the Application (client) ID for later: Copy client ID of Microsoft Entra ID app
    6. Then copy OAuth authorization endpoint (v2) & OAuth token endpoint (v2) URLs to use later in the configuration: Copy Auth and Token URLs in Microsoft Entra ID app
    7. Now go to SSIS package or ODBC data source and use the copied values in User Credentials authentication configuration:
      • In the Authorization URL field paste the OAuth authorization endpoint (v2) URL value you copied in the previous step.
      • In the Token URL field paste the OAuth token endpoint (v2) URL value you copied in the previous step.
      • In the Client ID field paste the Application (client) ID value you copied in the previous step.
      • In the Scope field use the default value or select individual scopes, e.g.:
        • vso.project
        • vso.work_full
    8. Press Generate Token button to generate Access and Refresh Tokens.
    9. Optional step. Choose Default Drive Id from the drop down menu.
    10. Click Test Connection to confirm the connection is working.
    11. Done! Now you are ready to use the API Connector!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to User Credentials [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Press Generate Token button to generate the tokens.
    5. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    User Credentials [OAuth]
    https://dev.azure.com
    Required Parameters
    Authorization URL Fill-in the parameter...
    Token URL Fill-in the parameter...
    Client ID Fill-in the parameter...
    Organization name or Id (e.g. mycompany) Fill-in the parameter...
    Return URL Fill-in the parameter...
    Scopes (Must match with App Registration) Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    Client Secret
    Refresh Token File Path
    Default Project Name (Choose after Generating Token)
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN OAuth Connection Configuration
    Azure DevOps authentication

    Use Azure AD service principal credentials (client id + secret) with the client credentials flow. Recommended for automated server-to-server access instead of PAT or delegated OAuth. [API reference]

    Step 1: Register the App in Microsoft Entra ID (AAD)

    1. Go to the Azure Portal > Microsoft Entra ID > App registrations and click New registration: Start new app registration in Microsoft Entra ID
    2. Name it (e.g., ZS-AzureDevOps-AppCred).
    3. Set Supported account types to "Accounts in this organizational directory only" (Single Tenant): Register app in Microsoft Entra ID
    4. Leave Redirect URI blank (it's not used for Client Credentials).
    5. Click Register.

    Step 2: Create a Client Secret

    1. In your new app, go to Certificates & secrets.
    2. Click New client secret, give it a name, and set an expiration.
    3. Copy the Secret Value immediately. You will never see it again once you leave the page: Copy client Secret of Microsoft Entra ID app

    Step 3: Set Permissions and Admin Consent

    1. Go to API permissions > Add a permission.
    2. Select Azure DevOps and click Delegated permissions.
    3. Check the necessary scopes (e.g., vso.project, vso.work_full).
    4. Crucial: Click Grant admin consent for [Your Tenant]. Without this, the app cannot authenticate in the background.

    Step 4: Map the App to Azure DevOps Organization

    1. Copy your Application (client) ID from the App Overview page.
    2. Go to your Azure DevOps Organization Settings > Users.
    3. Click Add users, paste the Application (client) ID in the search box, and select the App.
    4. Assign an Access level (usually Basic) and add it to the relevant Projects.

    Step 5: Connection Settings

    In your SSIS package or ODBC data source, use the following in the App Credentials configuration:

    • In the Token URL field, paste the OAuth token endpoint (v2) URL from the Azure Portal 'Endpoints' tab.
    • In the Client ID field, paste the Application (client) ID.
    • In the Client Secret field, paste the Secret Value copied in Step 2.
    • In the Scope field, use: https://app.vssps.visualstudio.com/.default

    Step 6: Finalize Connection

    1. Press Generate Token button to fetch the token using the Client Secret.
    2. Click Test Connection to confirm the setup.
    3. Done! You are ready to use the API Connector!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to Azure App Credentials [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    Azure App Credentials [OAuth]
    https://dev.azure.com
    Required Parameters
    Token URL Fill-in the parameter...
    Client ID Fill-in the parameter...
    Client Secret Fill-in the parameter...
    Scopes (Use .default for App Credentials) Fill-in the parameter...
    Organization name or Id Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    Default Project Name
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN OAuth Connection Configuration
    Azure DevOps authentication

    Same as Application Credentials but uses a client certificate instead of a secret. [API reference]

    Step 1: Register the App in Microsoft Entra ID (AAD)

    1. Go to the Azure Portal > Microsoft Entra ID > App registrations and click New registration: Start new app registration in Microsoft Entra ID
    2. Name it (e.g., ZS-AzureDevOps-CertAuth).
    3. Set Supported account types to "Accounts in this organizational directory only" (Single Tenant): Register app in Microsoft Entra ID
    4. Leave Redirect URI blank (it's not used for Client Credentials flows).
    5. Click Register.

    Step 2: Upload Client Certificate

    1. In your new app, go to Certificates & secrets.
    2. Click the Certificates tab, then click Upload certificate.
    3. Upload your public key certificate (.cer, .pem, or .crt). Keep the private key secure on your system.
    4. Copy the Thumbprint for your configuration: Copy certificate thumbprint

    Step 3: Set Permissions and Admin Consent

    1. Go to API permissions > Add a permission.
    2. Select Azure DevOps and click Delegated permissions.
    3. Select the required scopes (e.g., vso.project, vso.work_full).
    4. Crucial: Click Grant admin consent for [Your Tenant]. Without this, the background service cannot acquire a token.

    Step 4: Map the App to Azure DevOps Organization

    1. Copy your Application (client) ID from the App Overview page.
    2. Go to your Azure DevOps Organization Settings > Users.
    3. Click Add users and paste the Application (client) ID in the search box to find the App.
    4. Assign an Access level (usually Basic) and add it to the relevant Projects.

    Step 5: Connection Settings

    In your SSIS package or ODBC data source, use the following in the Client Certificate configuration:

    • In the Token URL field, paste the OAuth token endpoint (v2) URL from the Azure Portal 'Endpoints' tab.
    • In the Client ID field, paste the Application (client) ID.
    • Configure your Certificate Path or Thumbprint in the Client Certificate tab of the connector.
    • In the Scope field, use: https://app.vssps.visualstudio.com/.default

    Step 6: Finalize Connection

    1. Press Generate Token. The connector will sign the request using your certificate to fetch a token.
    2. Click Test Connection to confirm the setup.
    3. Done! Your certificate-based connection is ready!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to Azure App Credentials with Certificate (Sign JWT with Private Key) [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    Azure App Credentials with Certificate (Sign JWT with Private Key) [OAuth]
    https://dev.azure.com
    Required Parameters
    Token URL Fill-in the parameter...
    Client ID Fill-in the parameter...
    Certificate: *** Configure [Client Certificate] Tab *** Fill-in the parameter...
    Scopes (Must match with App Registration) Fill-in the parameter...
    Organization name or Id Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    Default Project Name
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN OAuth Connection Configuration
    Azure DevOps authentication
    **DEPRECATED:** this OAuth-based user credential flow is legacy; for new integrations prefer the Azure App Credentials options below. Connecting to your Azure DevOps data requires you to authenticate your REST API access. Follow the instructions below:
    1. Go to https://app.vsaex.visualstudio.com/app/register to register your app.
    2. Fill in your application and company's information as required, and then select the scopes that your application needs. This should typically be Project and team (read and write) and Work items (read and write).
      Your selected scopes when registering your app must match the scopes you enter here on the connector screen. If they don't match, the connector will not be able to work with your Azure DevOps account!
      If you need further information about the scopes used in Azure DevOps, or need to see what to enter into the connector screen to match up with your selected scopes, visit https://learn.microsoft.com/en-us/azure/devops/integrate/get-started/authentication/oauth?view=azure-devops.
      Create OAuth application in Azure DevOps

      NOTE: For Authorization callback URL use your company's OAuth Redirect URL (if IT administrator provides you one) or you can use https://zappysys.com/oauth (it's safe).

    3. Select Create Application and then the Application Settings page will be displayed.
    4. Record the App ID for us to use later: Copy App ID in Azure DevOps
    5. And do the same with Client Secret: Use Client Secret to read Azure DevOps REST API data
    6. Then go to https://aex.dev.azure.com and select relevant organization on the left.
    7. Then copy Organization's host name part (e.g. acmeinc, if full host name is acmeinc.visualstudio.com), save it to a file, and click it: Copy Organization Host in Azure DevOps
    8. Back at the connector screen, enter the App ID into the Client Id (App ID) field that was recorded in the previous step.
    9. Enter the Client Secret that was recorded in the previous step into the Client Secret field. In order to edit the text in this field, select the ellipses (...) button that appears when the textbox is clicked, and edit the Client Secret with the dialog box that appears.
    10. Enter the organization that was recorded in step 5 into the Organization name or Id for url field.
    11. Click Generate Token. If proper authentication occurs, you will see a notice saying so. You can click Yes to save a backup file of your generated tokens.
    12. Select the project you want to connect to by default from the Default Project (Choose after Generating Token) field.
    13. Select the Security tab.
    14. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com into the Additional Trusted Domains field.
    15. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
    16. If the connection test succeeds, select OK.
    17. To edit previously created app you can visit https://app.vsaex.visualstudio.com/me and see Applications and services section. Click on your desired app name.
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to (Cloud) OAuth App - User Credentials (DEPRECATED) [OAuth]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Press Generate Token button to generate the tokens.
    5. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    (Cloud) OAuth App - User Credentials (DEPRECATED) [OAuth]
    https://dev.azure.com
    Required Parameters
    Client Id (App ID) Fill-in the parameter...
    Client Secret Fill-in the parameter...
    Organization name or Id (e.g. mycompany) Fill-in the parameter...
    Return URL Fill-in the parameter...
    Scopes (Use .default for App Credentials) Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    Default Project Name (Choose after Generating Token)
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN OAuth Connection Configuration
    Azure DevOps authentication
    **DEPRECATED:** Personal Access Tokens are still supported but the new Azure App Credentials auth is recommended for security and automation. To connect to Azure DevOps using a Personal Access Token (PAT), you must first create a valid PAT:
    1. Start by going to https://aex.dev.azure.com and selecting relevant organization on the left.
    2. Then copy Organization's host name part (e.g. acmeinc, if full host name is acmeinc.visualstudio.com), save it to a file, and click it: Copy Organization Host in Azure DevOps
    3. Next, click User settings icon and then click Personal access tokens: Click User Settings icon in Azure DevOps
    4. Then click New Token button to create a new personal access token: Create new token in Azure DevOps
    5. Continue by...
      • naming your token
      • selecting the right Organization
      • setting token's Expiration date (it's recommended to use Custom defined option and make it expire after one year or later)
      • and setting the Scopes:
      Finish creating token in Azure DevOps

      NOTE: You may be restricted from creating full-scoped PATs. If so, your Azure DevOps administrator in Azure AD has enabled a policy which limits you to a specific custom defined set of scopes.

    6. Now click Copy button and save the newly created token into a file for quick access later: Use Azure DevOps token to read REST API data
    7. Go back to the connector screen, input the token you saved in a previous step into the Personal Access Token (PAT) field.
    8. Then enter the Organization host name part that you noted recorded in previous step into Organization name or Id for url field.
    9. Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
    10. Select the Security tab.
    11. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.com into the Additional Trusted Domains field.
    12. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
    13. Done!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to (Cloud) Personal Access Token (PAT) (DEPRECATED) [Http]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    (Cloud) Personal Access Token (PAT) (DEPRECATED) [Http]
    https://dev.azure.com
    Required Parameters
    Personal Access Token (PAT) Fill-in the parameter...
    Organization name or Id for url Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    AuthScheme Bearer
    AuthHeader Authorization
    Default Project Name
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN HTTP Connection Configuration
    Azure DevOps authentication
    **DEPRECATED:** On-premises PAT method is legacy; consider Azure App Credentials if your server supports Azure AD apps. To connect to Azure DevOps On-Premises Server using a Personal Access Token (PAT), you must first create a valid PAT:
    1. Start by navigating to your on-premises Azure DevOps Server URL.
      NOTE: The screenshots shown below are from the cloud version, so your interface may look slightly different depending on which on-premises Azure DevOps Server version you’re using — however, the overall concepts and steps are very similar between the cloud and on-premises editions.
    2. Now open any project and capture Collection Name from the URL. For example if your URL is
      https://tfs.mycompany.local/tfs/MyCollection/MyProject/
      then your collection name is MyCollection usually after /tfs/. Copy this collection name and later we will enter on Connection UI.
    3. Next, click User settings icon and then click Personal access tokens: Click User Settings icon in Azure DevOps
    4. Then click New Token button to create a new personal access token: Create new token in Azure DevOps
    5. Continue by...
      • naming your token
      • selecting the right Organization
      • setting token's Expiration date (it's recommended to use Custom defined option and make it expire after one year or later)
      • and setting the Scopes:
      Finish creating token in Azure DevOps

      NOTE: You may be restricted from creating full-scoped PATs. If so, your Azure DevOps administrator in Azure AD has enabled a policy which limits you to a specific custom defined set of scopes.

    6. Now click Copy button and save the newly created token into a file for quick access later: Use Azure DevOps token to read REST API data
    7. Go back to the connector screen, input the token you saved in a previous step into the Personal Access Token (PAT) field.
    8. Then enter the Organization host name part that you noted recorded in previous step into Organization name or Id for url field.
    9. Enter the name or Id of the project you want to connect to by default in the Default Project (Choose after above fields) field.
    10. Select the Security tab.
    11. Enter https://auditservice.dev.azure.com,https://almsearch.dev.azure.com,https://analytics.dev.azure.com into the Additional Trusted Domains field.
    12. Select the Test Connection button at the bottom of the window to verify proper connectivity with your Azure DevOps account.
    13. Done!
    API Connection Manager configuration

    Just perform these simple steps to finish authentication configuration:

    1. Set Authentication Type to (On-Premises) Personal Access Token (PAT) (DEPRECATED) [Http]
    2. Optional step. Modify API Base URL if needed (in most cases default will work).
    3. Fill in all the required parameters and set optional parameters if needed.
    4. Finally, hit OK button:
    AzureDevopsDSN
    Azure DevOps
    (On-Premises) Personal Access Token (PAT) (DEPRECATED) [Http]
    https://dev.azure.com
    Required Parameters
    Personal Access Token (PAT) Fill-in the parameter...
    Collection name (e.g. MyCollection) Fill-in the parameter...
    API Version Fill-in the parameter...
    Optional Parameters
    AuthScheme Bearer
    AuthHeader Authorization
    Default Project Name
    RetryMode RetryWhenStatusCodeMatch
    RetryStatusCodeList 429
    RetryCountMax 5
    RetryMultiplyWaitTime True
    ODBC DSN HTTP Connection Configuration

  6. Once the data source connection has been configured, it's time to configure the SQL query. Select the Preview tab and then click Query Builder button to configure the SQL query:

    ZappySys API Driver - Azure DevOps
    Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
    AzureDevopsDSN
    Open Query Builder in API ODBC Driver to read and write data to REST API
  7. Start by selecting the Table or Endpoint you are interested in and then configure the parameters. This will generate a query that we will use in Power BI to retrieve data from Azure DevOps. Hit OK button to use this query in the next step.

    SELECT * FROM WorkItems
    Configure table/endpoint parameters in ODBC data source based on API Driver
    Some parameters configured in this window will be passed to the Azure DevOps API, e.g. filtering parameters. It means that filtering will be done on the server side (instead of the client side), enabling you to get only the meaningful data much faster.
  8. Now hit Preview Data button to preview the data using the generated SQL query. If you are satisfied with the result, use this query in Power BI:

    ZappySys API Driver - Azure DevOps
    Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
    AzureDevopsDSN
    SELECT * FROM WorkItems
    API ODBC Driver-based data source data preview
    You can also access data quickly from the tables dropdown by selecting <Select table>.
    A WHERE clause, LIMIT keyword will be performed on the client side, meaning that the whole result set will be retrieved from the Azure DevOps API first, and only then the filtering will be applied to the data. If possible, it is recommended to use parameters in Query Builder to filter the data on the server side (in Azure DevOps servers).
  9. Click OK to finish creating the data source.

Video Tutorial

Connect to Azure DevOps data in Power BI

Import data from a table or view

  1. Once you open Power BI Desktop click Get Data to get data from ODBC:

    Power Bi Get Data
  2. A window opens, and then search for "odbc" to get data from ODBC data source:

    Power Bi ODBC Get Data
  3. Another window opens and asks to select a Data Source we already created. Choose AzureDevopsDSN and continue:

    AzureDevopsDSN
    Power Bi Select ZappySys Driver DSN
  4. Most likely, you will be asked to authenticate to a newly created DSN. Just select Windows authentication option together with Use my current credentials option:

    AzureDevopsDSN
    Power Bi DSN Authentication
  5. Finally, you will be asked to select a table or view to get data from. Select one and load the data!

    Power Bi Load DSN Table Data
  6. Finally, finally, read extracted data from Azure DevOps in a Power BI report:

    Power Bi Extracted DSN Table Data

Import data using a SQL query

If you wish to import Azure DevOps data from SQL query rather than a table then you can use advanced options during import steps (as below). After selecting DSN you can click on advanced options to see SQL Query editor.

AzureDevopsDSN
SELECT * FROM WorkItems
Get REST API data in Power BI Desktop using SQL query and ODBC
Consider using Custom Objects feature in ODBC data source to encapsulate SQL query in a Virtual Table. This way, you can see a virtual table in Power BI table list where you can import multiple objects using the same connection rather than creating a new connection for each custom SQL query.

Publish Power BI report to Power BI service

Here are the instructions on how to publish a Power BI report to Power BI service from Power BI Desktop application:

  1. First of all, go to Power BI Desktop, open a Power BI report, and click Publish button:

    Publish Power BI report to Power BI service
  2. Then select the Workspace you want to publish report to and hit Select button:

    Publish Power BI report to workspace
  3. Finally, if everything went right, you will see a window indicating success:

    Successful Power BI report publishing

What's next? If you need to periodically refresh Power BI semantic model (dataset) to ensure data accuracy and up-to-dateness, you can accomplish that by using Microsoft On-premises data gateway. Proceed to the next section - Refresh the Power BI semantic model via the gateway - and learn how to do that.

Refresh the Power BI semantic model (dataset) via the gateway

Power BI allows you to refresh semantic models (previously known as "datasets") that are based on data sources residing on-premises. This is achieved using the Microsoft On-premises data gateway. It acts as a secure bridge between Power BI cloud services and your local Azure DevOps ODBC data source:

Power BI and On-premises data gateway diagram

There are two types of On-premises data gateways:

Standard mode
  • Supports Power BI and other Microsoft Cloud services
  • Installs as a Windows service
  • Starts automatically
  • Supports centralized user access control
  • Supports the Direct Query feature
  • Ideal for enterprise solutions
Personal mode
  • Supports Power BI services only
  • Cannot run as a Windows service
  • Stops when you sign out of Windows
  • Does not support access control
  • Does not support the Direct Query feature
  • Best for individual use and POC solutions

You can download the On-premises data gateway directly from the Microsoft Fabric or Power BI portals:

Download Power BI On-premises data gateway
We recommend using Personal mode for quick POCs or personal use, and Standard mode for production scenarios.

Below are instructions on how to refresh the semantic model using both gateway types.

Use the Standard mode gateway (recommended)

Best for enterprise production environments where multiple users need to share the same gateway connection.

Follow these steps to refresh a Power BI semantic model using the On-premises data gateway (Standard mode):

  1. Go to Power BI My workspace, hover your mouse cursor over your semantic model, and click Settings:

    Configure Power BI semantic model settings
  2. If you see this view, it means you must install the On-premises data gateway (Standard mode):

    On-premises data gateway is not installed
  3. Download On-premises data gateway (standard mode) and run the installer.

  4. Once the configuration window opens, sign in:

    Signing in to on-premises data gateway standard
    Sign in with the same email address you use for Microsoft Fabric.
  5. Select Register a new gateway on this computer (or migrate an existing one):

    Registering or migrating on-premises data gateway standard
  6. Name your gateway, enter a Recovery key, and click the Configure button:

    Naming on-premises data gateway standard
    Save your Recovery Key in a safe place (like a password manager). If you lose it, you cannot restore or migrate this gateway later.
  7. Once Microsoft gateway is installed, check if it registered correctly:

    • Go back to Power BI portal

    • Click Gear icon on top-right

    • And then hit Manage connections and gateways menu item

    Manage On-premise data gateways in Microsoft Fabric or Power BI
  8. Continue by clicking the On-premises data gateway tab and selecting Standard mode gateways from the dropdown menu:

    Access On-premises data gateway list (Standard mode) in Power BI

    If your gateway is not listed, the registration may have failed. To resolve this:

    • Wait a couple of minutes and refresh Power BI portal page
    • Restart the machine where On-premises data gateway is installed
    • Check firewall settings
  9. Success! The gateway is now Online and ready to handle requests.

  10. Now, return to your semantic model settings in the Power BI portal. Refresh the page, and you should see your newly created gateway. Click the arrow icon to expand the options, and then click the Add to gateway link:

    ODBC{"connectionstring":"dsn=AzureDevopsDSN"}
    Using On-premises Data Gateway Standard for Power BI Semantic Model
  11. Once you do that, you will create a new gateway connection. Give it a name, set the Authentication method, Privacy level, and click the Create button:

    dsn=AzureDevopsDSN
    Create new connection in Power BI On-premises data gateway
    In this example, we use the least restrictive Privacy level.

    If your connection uses a full connection string, you may hit a length limitation when entering it into the field. To create the connection, you will need to shorten it manually. Check the section about the limitation of a full connection string on how to accomplish this.

    On-premises data gateway (Personal mode) does not have this limitation.

  12. Select the newly created connection to map it to your dataset:

    ODBC{"connectionstring":"dsn=AzureDevopsDSN"}
    Selecting gateway connection in Power BI semantic model
  13. Finally, you can refresh the semantic model:

    Refreshing Power BI semantic model using On-premises Data Gateway

Use the Personal mode gateway (POC)

Best for single-user scenarios, quick tests (POC), or when you don't have administrative rights to install the Standard gateway.

Follow these steps to refresh a Power BI semantic model using the On-premises data gateway (Personal mode):

  1. Go to Power BI My workspace, hover your mouse cursor over your semantic model, and click Settings:

    Configure Power BI semantic model settings
  2. If you see this view, it means you must install the On-premises data gateway (Personal mode):

    On-premises data gateway is not installed
  3. Install On-premises data gateway (personal mode) and sign-in:

    Sign-in to On-premises data gateway personal
    Use the same email address you use when logging in into your account.
  4. Once Microsoft gateway is installed, check if it registered correctly:

    • Go back to Power BI portal

    • Click Gear icon on top-right

    • And then hit Manage connections and gateways menu item

    Manage On-premise data gateways in Microsoft Fabric or Power BI
  5. Continue by clicking On-premises data gateway tab and select Personal mode option from the dropdown:

    Access On-premises data gateway list (Personal mode) in Power BI

    If your gateway is not listed, the registration may have failed. To resolve this:

    • Wait a couple of minutes and refresh Power BI portal page
    • Restart the machine where On-premises data gateway is installed
    • Check firewall settings
  6. The On-premises data gateway is now Online and ready to receive requests.

  7. Return to your semantic model Settings, expand Data source credentials, click Edit credentials, select the Authentication method and the Privacy level, and then click the Sign in button:

    dsn=AzureDevopsDSN
    Use On-premises data gateway personal for Power BI semantic model
  8. Finally, you are ready to refresh your semantic model:

    Refreshing Power BI semantic model using On-premises Data Gateway

Advanced topics

Editing query in Power BI

There will be a time you need to change the initial query after importing data into Power BI. Don't worry, just right-click on your table and click Edit query menu item:

Edit query in Power BI to get REST API data
Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using parameters for dynamic queries

In the real world, many values of your REST / SOAP API call may be coming from parameters. If that's the case for you can try to edit script manually as below. In below example its calling SQL Query with POST method and passing some parameters. Notice below where paraAPIKey is Power BI Parameter (string type). You can use parameters anywhere in your script just like the normal variable.

To use a parameter in Power BI report, follow these simple steps:

  1. Firstly, you need to Edit query of your table (see previous section)

  2. Then just create a new parameter by clicking Manage Parameters dropdown, click New Parameter option, and use it in the query:

                    
                                = Odbc.Query("dsn=AzureDevopsDSN",
                                             "SELECT ProductID, ProductName, UnitPrice, UnitsInStock
                                              FROM Products
                                              WHERE UnitPrice > " & Text.From(MyParameter) & "
                                              ORDER BY UnitPrice")
                            
                    
    Use parameter in Power BI to get REST API data
    Refer to Power Query M reference for more information on how to use its advanced features in your queries.

Using DirectQuery (live connection)

By default, Power BI imports Azure DevOps data into its internal cache. However, if you require real-time data, you can use the DirectQuery mode.

Since the native Power BI ODBC connector limits you to Import mode, we must bridge the connection via Microsoft SQL Server. To do this, we configure the ZappySys Data Gateway and create a Linked Server pointing to it:

Architecture diagram: Power BI (DirectQuery) connected to SQL Server, bridging to ZappySys Data Gateway via Linked Server, and finally fetching data from Azure DevOps Service
This method requires an existing Microsoft SQL Server instance to act as the bridge.

Follow these steps to use DirectQuery:

  1. Configure ZappySys Data Gateway and create a Linked Server in SQL Server.

  2. Once the Linked Server is ready, open Power BI Desktop.

  3. Click Get Data and select SQL Server.

  4. Enter your SQL Server instance name and a valid database name (e.g., master).

  5. Under Data Connectivity mode, select DirectQuery.

  6. Expand Advanced options and enter your SQL query using the OPENQUERY syntax below (replace [LINKED_SERVER_NAME] with your actual Linked Server name):

    SELECT * FROM OPENQUERY([LS_TO_AZURE_DEVOPS_IN_GATEWAY], 'SELECT * FROM WorkItems')
    DirectQuery option for Power BI (read Azure DevOps data example using SQL Server Linked Server and ZappySys Data Gateway)
    SELECT * FROM OPENQUERY([LS_TO_AZURE_DEVOPS_IN_GATEWAY], 'SELECT * FROM WorkItems')
  7. Click OK and load the data. Your Azure DevOps data is now linked live rather than imported.
Avoid using DirectQuery unless it is required for very large datasets or real-time data needs. Data is fetched on demand, which can impact performance compared to the cached Import mode.

Using full ODBC connection string

In the previous steps we used a very short format of ODBC connection string - a DSN. Yet sometimes you don't want a dependency on an ODBC data source (and an extra step). In those times, you can define a full connection string and skip creating an ODBC data source entirely. Let's see below how to accomplish that in the below steps:

  1. Open ODBC data source configuration and click Copy settings:
    ZappySys API Driver - Configuration [Version: 2.0.1.10418]
    ZappySys API Driver - Azure DevOps
    Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
    AzureDevopsDSN
    Copy connection string for ODBC application
  2. The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
  3. Then just paste the connection string into your script:
    AzureDevopsDSN
    DRIVER={ZappySys API Driver};ServiceUrl=https://dev.azure.com;Provider=Custom;OAuthVersion=OAuth2;ScopeSeparator={space};GrantType=Default;Scope=[$Scope$];ScopeSeparator={space};
    Use full connection string in Power BI Desktop to read API data
  4. You are good to go! The script will execute the same way as using a DSN.
The DSN defined in the Data source name (DSN) field will be ignored.

Have in mind that a full connection string has length limitations.

Proceed to the next step to find out the details.

Handling limitations of using a full connection string

Despite using a full ODBC connection string may be very convenient it comes with a limitation: it's length is limited to 1024 symbols (or sometimes more). It usually happens when API provider generates a very long Refresh Token when OAuth is at play. If you are using such a long ODBC connection string, you may get this error:

"Connection string exceeds maximum allowed length of 1024"

But there is a solution to this by storing the full connection string in a file. Follow the steps below to achieve this:

  1. Open your ODBC data source.
  2. Click Copy settings button to copy a full connection string (see the previous section on how to accomplish that).
  3. Then create a new file, let's say, in C:\temp\odbc-connection-string.txt.
  4. Continue by pasting the copied connection string into a newly created file and save it.
  5. Finally, the last step! Just construct a shorter ODBC connection string using this format:
    DRIVER={ZappySys API Driver};SettingsFile=C:\temp\odbc-connection-string.txt
  6. Our troubles are over! Now you should be able to use this connection string in Power BI with no problems.
This feature requires ODBC PowerPack v1.9.0 or later.

Optional: Centralized data access via ZappySys Data Gateway

In some situations, you may need to provide Azure DevOps data access to multiple users or services. Configuring the data source on a Data Gateway creates a single, centralized connection point for this purpose.

This configuration provides two primary advantages:

  • Centralized data access
    The data source is configured once on the gateway, eliminating the need to set it up individually on each user's machine or application. This significantly simplifies the management process.
  • Centralized access control
    Since all connections route through the gateway, access can be governed or revoked from a single location for all users.
Data Gateway
Local ODBC
data source
Simple configuration
Installation Single machine Per machine
Connectivity Local and remote Local only
Connections limit Limited by License Unlimited
Central data access
Central access control
More flexible cost

To achieve this, you must first create a data source in the Data Gateway (server-side) and then create an ODBC data source in Power BI (client-side) to connect to it.

Let's not wait and get going!

Create Azure DevOps data source in the gateway

In this section we will create a data source for Azure DevOps in the Data Gateway. Let's follow these steps to accomplish that:

  1. Search for gateway in the Windows Start Menu and open ZappySys Data Gateway Configuration:

    Open ZappySys Data Gateway Service Manager
  2. Go to the Users tab and follow these steps to add a Data Gateway user:

    • Click the Add button
    • In the Login field enter a username, e.g., john
    • Then enter a Password
    • Check the Is Administrator checkbox
    • Click OK to save
    Data Gateway - Add User
  3. Now we are ready to add a data source:

    • Click the Add button
    • Give the Data source a name (have it handy for later)
    • Then select Native - ZappySys API Driver
    • Finally, click OK
    AzureDevopsDSN
    ZappySys API Driver
    Data Gateway - Add data source
  4. When the ZappySys API Driver configuration window opens, go back to ODBC Data Source Administrator where you already have the Azure DevOps ODBC data source created and configured, and follow these steps on how to Import data source configuration into the Gateway:

    • Open ODBC data source configuration and click Copy settings:
      ZappySys API Driver - Configuration [Version: 2.0.1.10418]
      ZappySys API Driver - Azure DevOps
      Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
      AzureDevopsDSN
      Copy connection string for ODBC application
    • The window opens, telling us the connection string was successfully copied to the clipboard: Successful connection string copying for ODBC application
    • Then go to Data Gateway configuration and in data source configuration window click Load settings:

      AzureDevopsDSN
      ZappySys API Driver - Configuration [Version: 2.0.1.10418]
      ZappySys API Driver - Azure DevOps
      Read and write Azure DevOps (Cloud or On-Premises) data effortlessly. Integrate, manage, and automate work items, projects, and teams — almost no coding required.
      AzureDevopsDSN
      Load configuration in ZappySys Data Gateway data source
    • Once a window opens, just paste the settings by pressing CTRL+V or by clicking right mouse button and then Paste option.
  5. Once done, go to the Network Settings tab and Add a firewall rule for inbound traffic:

    Data Gateway - Add firewall rule for inbound connections
    • This will initially allow all inbound traffic.
    • Click Edit IP filters to restrict access to specific IP addresses or ranges.
  6. Crucial Step: After creating or modifying the data source, you must:

    • Click the Save button to persist your changes.
    • Hit Yes when prompted to restart the Data Gateway service.

    This ensures all changes are properly applied:

    ZappySys Data Gateway - Save Changes
    Skipping this step may cause the new settings to fail, preventing you from connecting to the data source.

Create ODBC data source to connect to the gateway

In this part we will create an ODBC data source to connect to the ZappySys Data Gateway from Power BI. To achieve that, let's perform these steps:

  1. Search for odbc and open the ODBC Data Sources (64-bit):

    Open ODBC Data Source
  2. Create a User data source (User DSN) based on the ODBC Driver 17 for SQL Server driver:

    ODBC Driver 17 for SQL Server
    Create new User DSN for ODBC Driver 17 for SQL Server
    If you don't see the ODBC Driver 17 for SQL Server driver in the list, choose a similar version.
  3. Then set a Name for the data source (e.g. Gateway) and the address of the Data Gateway:

    ZappySysGatewayDSN
    localhost,5000
    ODBC driver for SQL Server - Setting hostname and port
    Make sure you separate the hostname and port with a comma, e.g. localhost,5000.
  4. Proceed with the authentication part:

    • Select SQL Server authentication
    • In the Login ID field enter the user name you created in the Data Gateway, e.g., john
    • Set Password to the one you configured in the Data Gateway
    ODBC driver for SQL Server - Selecting SQL Authentication
  5. Then set the default database property to AzureDevopsDSN (the one we used in the Data Gateway):

    AzureDevopsDSN
    AzureDevopsDSN
    ODBC driver for SQL Server - Selecting database
    Make sure to type the data source name manually or copy/paste it directly into the field. Using the dropdown might fail because the Trust server certificate option is not enabled yet (next step).
  6. Continue by checking the Trust server certificate option:

    ODBC driver for SQL Server - Trusting certificate
  7. Once you do that, test the connection:

    ODBC driver for SQL Server - Testing connection
  8. If the connection is successful, everything is good:

    ODBC driver for SQL Server - Testing connection succeeded
  9. Done!

We are ready to move to the final step. Let's do it!

Access data in Power BI via the gateway

Finally, we are ready to read data from Azure DevOps in Power BI via the Data Gateway. Follow these final steps:

  1. Go back to Power BI.

  2. Once you open Power BI Desktop click Get Data to get data from ODBC:

    Power Bi Get Data
  3. A window opens, and then search for "odbc" to get data from ODBC data source:

    Power Bi ODBC Get Data
  4. Another window opens and asks to select a Data Source we already created. Choose ZappySysGatewayDSN and continue:

    ZappySysGatewayDSN
    Power Bi Select ZappySys Driver DSN
  5. When the ODBC driver authentication window opens, configure the following:

    • Enter the User name (e.g., john)
    • Enter the Password that you configured in ZappySys Data Gateway
    • Hit the Connect button
    dsn=ZappySysGatewayDSN
    Configure access to ZappySys Data Gateway data source in Power BI
    Make sure the Database tab is selected; otherwise, Power BI won't be able to connect to the ZappySys Data Gateway.
  6. Read the data the same way we discussed at the beginning of this article.

  7. That's it!

Now you can connect to Azure DevOps data in Power BI via the Data Gateway.

Supported Azure DevOps Connector actions

Got a specific use case in mind? We've mapped out exactly how to perform a variety of essential Azure DevOps operations directly in Power BI, so you don't have to figure out the setup from scratch. Check out the step-by-step guides below:

Conclusion

In this article we showed you how to connect to Azure DevOps in Power BI and integrate data without writing complex code — all of this was powered by Azure DevOps ODBC Driver.

Download ODBC PowerPack now or ping us via chat if you have any questions or are looking for a specific feature (you can also reach out to us by submitting a ticket):

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