# Prediction environment integrations
URL: https://docs.datarobot.com/en/docs/workbench/nxt-console/nxt-prediction-environments/nxt-prediction-environment-integrations/index.html

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

# 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. |
| SAP AI Core | Preview feature. Create a DataRobot-managed SAP AI Core prediction environment to deploy and replace DataRobot Scoring Code in SAP AI Core. |
| 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 theService healthtab, information such as latency, throughput, and error rate is unavailable for external, agent-monitored deployments.

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