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MLOps > Deployment > Manage prediction environments > Prediction environment integrations

Prediction environment integrations

Configure DataRobot-managed prediction environment integrations to deploy and replace DataRobot models.

Integration Description
AzureML Create a DataRobot-managed AzureML prediction environment to deploy and replace DataRobot Scoring Code in AzureML.
Sagemaker Create a DataRobot-managed Sagemaker prediction environment to deploy and replace DataRobot custom models and Scoring Code in Sagemaker.
Snowflake Preview feature. Create a DataRobot-managed Snowflake prediction environment to deploy and replace DataRobot Scoring Code in Snowflake.

Feature considerations

  • Challenger models and model replacement are not supported (challenger prediction servers can't be set to an external or serverless prediction environment).

  • Only CSV files are supported for predictions. XLSX files are not supported by the code snippet.

  • On the Service health tab, information such as latency, throughput, and error rate is unavailable for external, agent-monitored deployments.

Updated January 8, 2025