How can I get the DataRobot for Tableau Extension?

The Extension is available on the Tableau Extension Gallery, you can also learn more about the extension by downloading the DataRobot + Tableau Starter Kit.

What are the prerequisites to install and use the DataRobot for Tableau Extension?

Any DataRobot cloud customer that also has Tableau can install and enjoy the insights from the DataRobot for Tableau Extension. DataRobot Enterprise customers (on-premises) need version 4.5 or above. Please note Tableau extensions are available in Tableau 2018.2 or newer versions. For more information about using extensions in Tableau, please see https://www.tableau.com/developer/extensions.

We are a current DataRobot customer, how can we use the DataRobot for Tableau Extension?

DataRobot Enterprise customers must be on version 4.5 to use the extension. Please contact your DataRobot support or account team to schedule an upgrade. DataRobot Cloud customers can use the DataRobot for Tableau Extension now.

I do not currently have access to DataRobot how do I create my account and get started?

Please contact DataRobot to find out how to get started on the platform. To contact us please visit the Contact Us page and fill out a general inquiry form and a member of our team will be in touch.

Are there any limitations based on Tableau Worksheet data source types?

Most Tableau supported data source types are supported in the extension. Note: image, blob and geospatial fields are not currently supported.

How much is the DataRobot for Tableau Extension?

DataRobot has worked with Tableau to offer this complimentary extension to our customers.
It is free.

What are data row/size limits?

All data used within your Tableau Worksheet is sent to DataRobot through the extension. Currently Tableau’s extension does not support paging of large datasets. The limit is 10K rows of data. You can reduce the amount of data being sent through the extension with Tableau Data Source filters.

To analyze large datasets, we recommend using DataRobot. It has robust large dataset support and APIs for much deeper analysis, real-time prediction scoring, and many other analytical use cases.