> For the complete documentation index, see [llms.txt](https://developer.harness.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.harness.io/feature-management-experimentation/use-fme/warehouse-native-experimentation/integrations/index.md).

# Warehouse Native Experimentation Integrations

### Overview <a href="#overview" id="overview"></a>

To run experiment analyses using Warehouse Native, Harness FME connects directly to your data warehouse. This allows you to use your existing event and metric data without duplicating or moving it.

Warehouse Native Experimentation requires the following permissions:

* Read access to event, exposure, and metric tables
* Write access to a dedicated Harness schema for storing analysis results
* Permission to run queries and scheduled jobs

### Supported integrations <a href="#supported-integrations" id="supported-integrations"></a>

Warehouse Native Experimentation supports the following data warehouses:

<table data-view="cards"><thead><tr><th align="center"></th><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><img src="/files/hzRvj1viaygcmZJ1cOYI" alt="" data-size="original"></td><td align="center"><strong>Snowflake</strong></td><td><a href="/pages/TMQ5NH50QPqedoiu8bdO">/pages/TMQ5NH50QPqedoiu8bdO</a></td></tr><tr><td align="center"><img src="/files/MxLwKxeIosk1udIFmg8K" alt="" data-size="original"></td><td align="center"><strong>Amazon Redshift</strong></td><td><a href="/pages/bYJpfvtucIVGMGvnriv7">/pages/bYJpfvtucIVGMGvnriv7</a></td></tr><tr><td align="center"><img src="/files/FVAV3dQLVweAYNAgi0Jk" alt="" data-size="original"></td><td align="center"><strong>Google BigQuery</strong></td><td><a href="/pages/jysjuFvwZ3ykdFNbllPS">/pages/jysjuFvwZ3ykdFNbllPS</a></td></tr></tbody></table>

Set up your connection, configure access, and apply recommended policies to start analyzing experiments in your data warehouse.
