The following connector article is provided by the Statistical Information System Collaboration Community (SIS-CC), the owner of this connector and a member of the Microsoft Power Query Connector Certification Program. If you have questions regarding the content of this article or have changes you would like to see made to this article, visit the SIS-CC website and use the support channels there.


Item Description
Release State Beta
Products Power BI (Datasets)
Power BI (Dataflows)
Fabric (Dataflow Gen2)
Authentication Types Supported Anonymous
Function Reference Documentation


Before you get started, make sure you've properly configured the URL from the service provider’s API. The exact process here will depend on the service provider.

Capabilities supported

Import of SDMX-CSV 2.1 format. Other formats aren't supported.

Connection instructions

To connect to SDMX Web Service data:

  1. Select Get Data from the Home ribbon in Power BI Desktop. Select All from the categories on the left, and then select SIS-CC SDMX. Then select Connect.

    SIS-CC SDMX Get Data.

  2. Fill in the parameters:

    1. In the Data query URL, enter an SDMX REST data query URL (the web service must support the SDMX-CSV format).
    2. In Display format, select one of the options:
      • Show codes and labels; example: FREQ: Frequency
      • Show codes; example: FREQ
      • Show labels; example: Frequency
      • Optionally, enter a language preference in Label language preference using an IETF BCP 47 tag

    SIS-CC SDMX Connect to Data.

  3. If this is the first time you’re connecting to the REST web service in the previous step Data query URL, this authentication step is displayed. As the connection is Anonymous, select Connect

    SIS-CC SDMX Auth

  4. Select Load to import the data into Power BI, or Transform Data to edit the query in Power Query Editor where you can refine the query before loading into Power BI.

Limitations and issues

This version of the connector doesn't support importing data formats SDMX-ML or SDMX-JSON.

Next steps

If you want to submit a feature request or contribute to the open-source project, then go to the Gitlab project site.