---
title: Ecosystem integration templates
description: Templates for end-to-end API workflows between DataRobot and its ecosystem partners (Snowflake, GCP, Azure, AWS, etc.).

---

# Ecosystem integration templates

Topic | Describes... |
----- | ------ |
[End-to-end ML workflow with Databricks](ml-databricks) | Build models in DataRobot with data acquired and prepared in a Spark-backed notebook environment provided by Databricks.
[End-to-end ML workflow with Google Cloud Platform and BigQuery](ml-gcp) | Use Google Collaboratory to source data from BigQuery, build and evaluate a model using DataRobot, and deploy predictions from that model back into BigQuery and GCP. |
[End-to-end ML workflow with Snowflake](ml-snowflake) | Work with Snowflake and DataRobot's Python client to import data, build and evaluate models, and deploy a model into production to make new predictions.
[End-to-end ML workflow with AWS](ml-aws) | Work with AWS and DataRobot's Python client to import data, build and evaluate models, and deploy a model into production to make new predictions.
[End-to-end ML workflow with Azure](ml-azure) | Work with Azure and DataRobot's Python client to import data, build and evaluate models, and deploy a model into production to make new predictions.
[Monitor AWS Sagemaker models with MLOps](aws-mlops) | Train and host a SageMaker model that can be monitored in the DataRobot platform.|
[Integrate DataRobot and Snowpark by maximizing the data cloud](snowpark-data) | Leverage Snowflake for data storage and Snowpark for deployment, feature engineering, and model scoring with DataRobot. |
[End-to-end workflow with SAP Hana](ml-sap) | Learn how to programmatically build a model with DataRobot using SAP Hana as the data source. |
[Deploy Scoring Code as a microservice](sc-micro) | Follow a step-by-step procedure to embed Scoring Code in a microservice and prepare it as the Docker container for a deployment on customer infrastructure (it can be self- or hyperscaler-managed K8s). |
[End-to-end demand forecasting workflow with DataRobot and Databricks](dbx-forecast) | How to use DataRobot with Databricks to develop, evaluate, and deploy a multi-series demand forecasting model.
