> For the complete documentation index, see [llms.txt](https://integrations.drivetrain.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://integrations.drivetrain.ai/integration-guide/readme/databases-and-warehouses.md).

# Databases & Warehouses

Bring warehouse and database data into your Drivetrain planning models. Supports Snowflake, BigQuery, Databricks, Redshift, Postgres, and many more.

​Drivetrain integrates with multiple databases and warehouses. Right now, you can integrate the following tools directly by following the instructions provided below:

* [Azure SQL Server](/integration-guide/readme/databases-and-warehouses/integrating-with-azure-sql-server.md)
* [BigQuery](/integration-guide/readme/databases-and-warehouses/integrating-with-bigquery.md)
* [ClickHouse](/integration-guide/readme/databases-and-warehouses/integrating-with-clickhouse.md)
* [Databricks](/integration-guide/readme/databases-and-warehouses/integrating-with-databricks.md)
* [Postgres](/integration-guide/readme/databases-and-warehouses/integrating-with-postgres.md)
* [Redshift](/integration-guide/readme/databases-and-warehouses/integrating-with-redshift.md)
* [S3](/integration-guide/readme/databases-and-warehouses/integrating-with-s3.md)
* [Snowflake](/integration-guide/readme/databases-and-warehouses/integrating-with-snowflake.md)
* [Snowflake (small datasets)](/integration-guide/readme/databases-and-warehouses/integrating-with-snowflake-small-datasets.md)
* [Google Cloud Storage](/integration-guide/readme/databases-and-warehouses/integrating-with-google-cloud-storage.md)
* [AWS Cost Explorer](/integration-guide/readme/databases-and-warehouses/integrating-with-aws-cost-explorer.md)

For other database and warehouse systems, contact your Drivetrain customer success manager to help you get them connected.<br>

<table data-view="cards"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td align="center">Azure SQL Server</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-azure-sql-server.md">Integrating with Azure SQL Server</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-4d647afc88619aaec1623aa874b9555a477742b7%2FAzure%20Sql.avif?alt=media">azure-sql-server-card.avif</a></td></tr><tr><td align="center">BigQuery</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-bigquery.md">Integrating with BigQuery</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-b166f249dc32c468f27be1255e1d938e14f7ab83%2FBQ.avif?alt=media">bigquery-card.avif</a></td></tr><tr><td align="center">Databricks</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-databricks.md">Integrating with Databricks</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-58e4752f1ed393af76fcecfe4cb74294d215806a%2FDatabricks.avif?alt=media">databricks-card.avif</a></td></tr><tr><td align="center">Redshift</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-redshift.md">Integrating with Redshift</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-4fdd9be0f3a8737430f17872aa52409b95562e10%2FRedshift.avif?alt=media">redshift-card.avif</a></td></tr><tr><td align="center">S3</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-s3.md">Integrating with S3</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-d58acf74cd00ff7cd99745071c5991d752607830%2FS3.avif?alt=media">s3-card.avif</a></td></tr><tr><td align="center">Snowflake</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-snowflake.md">Integrating with Snowflake</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-9cac40f5cd97879788c8d84a640ab702b6faa95f%2FSnowflake.avif?alt=media">snowflake-card.avif</a></td></tr><tr><td align="center">Snowflake (small datasets)</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-snowflake-small-datasets.md">Integrating with Snowflake (Small Datasets)</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-9cac40f5cd97879788c8d84a640ab702b6faa95f%2FSnowflake.avif?alt=media">snowflake-card.avif</a></td></tr><tr><td align="center">Google Cloud Storage</td><td><a href="/integration-guide/readme/databases-and-warehouses/integrating-with-google-cloud-storage.md">Integrating with Google Cloud Storage</a></td><td><a href="https://4220329029-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FmBZR0D9lq6jrI895OuOU%2Fuploads%2Fgit-blob-693d4bbc6cba738d9a05c51917d2903bfa0c9302%2FGoogle%20cloud.avif?alt=media">google-cloud-storage-card.avif</a></td></tr></tbody></table>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://integrations.drivetrain.ai/integration-guide/readme/databases-and-warehouses.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
