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Qlik AutoML


Qlik AutoML

Qlik AutoML is a platform for generating automated machine learning models and deploying these as predictive endpoints.

This connector allows for data to be sent to specific predictive endpoints and predictions returned which will be loaded into Qlik Sense.

Qlik AutoML is a separate SaaS platform from Qlik Cloud and requires a separate license agreement.


  • When Qlik Sense sends data to Qlik AutoML, it is sent in a JSON format. The field datatypes need to match those that were defined when creating the model

  • The Qlik AutoML connector is limited to 200k rows per request. These are sent to the endpoint service in batches of 2k rows. In scenarios where more rows are required to be processed, use a Loop within the Data load script to process more rows in batches.

  • In a scenario where an application is regularly reloaded, it is best practice to cache the predictions using a QVD file and only send the new rows to the prediction endpoint. This will improve the performance of the Qlik Sense application reload and reduce the load on the endpoint.

  • When using in a chart expression, it is important to provide the data types of the fields as the model needs to process these in the correct string/numeric format. A limitation of server-side extensions in chart expressions is that the data types are not automatically detected as they are in the load script.

  • If you are using a relative connection name, and if you decide to move the app from a shared space to another shared space, or if you move your app from a shared space to your private space, then it may take some time for the analytic connection to be updated to reflect the new space location.