How to Enable XMLA Endpoint in Power BI

Unlocking the full potential of your Power BI datasets often means going beyond the standard Power BI Desktop interface. By enabling a specific feature called the XMLA endpoint, you can transform your Power BI Premium workspace into an enterprise-grade analytics hub that connects to a wide array of other data tools. This article will walk you through what the XMLA endpoint is, why it’s a game-changer, and exactly how to turn it on.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

What is the XMLA Endpoint in Power BI?

Think of the XMLA endpoint as a special, high-speed connection directly into the engine that powers your Power BI datasets. Every Power BI dataset runs on the same powerful engine as Microsoft's SQL Server Analysis Services (SSAS). The XMLA (XML for Analysis) endpoint is the standard communication protocol that lets other applications talk directly to that engine.

Without this endpoint, your interaction with a Power BI dataset is mostly limited to using Power BI Desktop or the Power BI service. Once you enable it, you open a gateway for other tools - like SQL Server Management Studio, Tableau, or advanced modeling tools like Tabular Editor - to connect, query, and even modify your Power BI datasets. It effectively breaks down the walls around your Power BI environment, allowing for a more integrated and flexible analytics setup.

Why Bother Enabling the XMLA Endpoint?

Enabling this feature might sound technical, but the benefits are practical and powerful, especially as your data needs grow more complex. It's the key to graduating from self-service BI to a robust, managed enterprise BI platform.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Connect with Third-Party BI Tools

Not everyone on your team lives and breathes Power BI. Your finance team might swear by Excel PivotTables, while a different department might use Tableau for their visualizations. With the XMLA endpoint enabled (in read-only mode), these users can connect directly to your Power BI datasets as a sanctioned, single source of truth. This prevents data silos and ensures everyone is working from the same governed, up-to-date information.

Advanced Data Modeling with External Tools

While Power BI Desktop is fantastic, advanced data modelers and developers sometimes hit its limitations. The XMLA endpoint (in read-write mode) is the secret weapon for developers. It allows them to use powerful external tools like:

• Tabular Editor: An essential tool for professional BI developers that offers a much faster and more powerful way to manage measures, calculated columns, perspectives, and partitions in your model. It's indispensable for managing large, complex data models.
• DAX Studio: An amazing free tool for writing, executing, and analyzing DAX queries against your model. It's perfect for performance tuning and advanced DAX debugging that can be difficult within the Power BI Desktop interface.
• SQL Server Management Studio (SSMS): A classic T-SQL management tool that can be used to manage Power BI datasets, perform a granular refresh of specific partitions, or automate tasks using scripts.

Automate and Manage Your Datasets Programmatically

Once you enable read-write access, you unlock the ability to manage your Power BI environment programmatically. Using tools like SSMS, PowerShell cmdlets, or Tabular Model Scripting Language (TMSL), you can automate a ton of administrative work. A common use case is implementing incremental refresh strategies by scripting partition management, which is essential for working with massive datasets that can’t realistically be refreshed in their entirety every day.

This allows advanced teams to incorporate their Power BI dataset management into larger CI/CD (Continuous Integration/Continuous Deployment) pipelines, treating their data models as code and managing them with the same rigor as other software applications.

Prerequisites: What You Need First

Before you get started, you need to make sure you have the right setup. The XMLA endpoint isn’t available on a standard Power BI Pro license. Here’s what’s required:

• Licensing: Your Power BI workspace must be hosted on a Power BI Premium per capacity (P SKU), Power BI Premium Per User (PPU), or Microsoft Fabric capacity (F SKU).
• Permissions: You need to be a Tenant Administrator, a Power BI Service Administrator, or have Capacity Admin permissions on the specific Premium capacity you want to modify. If the option doesn't appear for you, it's likely a permissions issue.
• Workspace Admin: You also need to be an Admin of the specific modern workspace (not a "My Workspace") you intend to connect to.

Failing to meet these requirements is the most common reason people can't find the necessary settings, so it's a good idea to confirm them before you proceed.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Step-by-Step Guide: How to Enable the XMLA Endpoint

Ready to turn it on? The setting is managed at the capacity level, not for the entire tenant. This means you can enable it for some of your high-tier capacities handling critical data while leaving it off for others.

Step 1: Navigate to the Power BI Admin Portal

Log in to your Power BI service account (app.powerbi.com). In the top-right corner, click the Settings gear icon, and from the dropdown menu, select "Admin portal."

Step 2: Go to Capacity Settings

Once you're in the Admin portal, look at the navigation pane on the left. Click on "Capacity settings." This is where you manage all the premium or fabric capacities in your tenant.

Step 3: Select Your Premium/Fabric Capacity

You'll see a list of available capacities. Select the tab for "Power BI Premium" or "Fabric", depending on your license. Click on the name of the capacity you want to configure. This will open the detailed management page for that specific capacity.

Step 4: Configure the XMLA Endpoint Setting

On the capacity management screen, scroll down to the workload settings. Expand the "Workloads" section if it isn't already. You'll see a setting called "XMLA Endpoint." This is what you're looking for!

Click on the dropdown menu. You have three choices:

• Off: This is the default. External tools cannot connect.
• Read-Only: External applications and tools can connect and query the data in your datasets, but they can't make any changes. This is a safe setting if you just want to allow other reporting tools (like Excel) to access Power BI data.
• Read-Write: This allows external tools to not only query your data but also to manage and deploy datasets, process partitions, and modify the data model. Enable this option for advanced data modeling and management tasks with tools like Tabular Editor or SSMS.

Select your desired setting (usually "Read-Write" for development work) and click the "Apply" button at the bottom of the page. It might take a few moments for the setting to take effect.

Graphed

Still Building Reports Manually?

Watch how growth teams are getting answers in seconds — not days.

Watch the Demo

Finding and Using Your Workspace Connection Info

Once the endpoint is enabled on the capacity, the final step is to find the unique connection string for each workspace hosted on that capacity.

Navigate to the specific Power BI workspace you want to connect to. Click on the workspace settings, then select the "Premium" tab. You'll see your "Workspace Connection" URL. This is the "server name" you'll use in other applications.

The URL will look something like this:

powerbi://api.powerbi.com/v1.0/myorg/YourWorkspaceName

Copy this URL - you'll need it to connect from your tool of choice.

Connecting with SQL Server Management Studio (SSMS) - A Quick Example

Let's quickly see how to put this to use with SSMS:

1. Open SSMS.
2. In the "Connect to Server" dialog, select Analysis Services as the Server type.
3. For the Server name, paste the workspace connection URL you just copied.
4. For Authentication, select Azure Active Directory - Universal with MFA. This is essential for proper authentication.
5. Enter the username (your Power BI login email) and click Connect.

You’ll be prompted to sign in with your Microsoft 365 credentials. Once authenticated, you will see all the datasets within that Power BI workspace listed as if they were Analysis Services databases. From here, you can explore the model, run DAX queries, and manage dataset processing tasks.

Final Thoughts

Enabling the Power BI XMLA endpoint bridges the gap between a self-contained visualization tool and an open, enterprise-grade semantic layer. It unlocks advanced modeling, powerful management capabilities, and better integration with the broader data ecosystem, giving your team the flexibility to use the best tool for every job.

While configuring endpoints and data models is a powerful way to manage large-scale BI, sometimes the goal is much simpler: getting quick answers from all your scattered data. That’s the problem we built Graphed to solve. We connect to an array of marketing and sales platforms - like Google Analytics, Salesforce, and Shopify - and instead of requiring you to learn a report builder, you can just ask questions in plain English. Graphed automatically generates the dashboards and reports you need, helping you skip the technical overhead and get straight to the insights.