> For the complete documentation index, see [llms.txt](https://knowledge.aterio.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://knowledge.aterio.io/data-delivery-options/data-warehouses-and-lakes.md).

# Data Warehouses & Lakes

Aterio data delivered directly into your cloud data warehouse and data lake, sitting natively alongside your own data with no pipelines to build or maintain.

We support the major platforms, so the data lands wherever your team already works: Amazon S3, Databricks, Snowflake, and BigQuery.

<figure><img src="/files/jzKElLWjxJLebsuJi8jl" alt=""><figcaption></figcaption></figure>

{% hint style="info" %}
**Using a different data lake or warehouse?**

We support S3, Databricks, Snowflake, and BigQuery out of the box, but we're not limited to them. If your team works somewhere else, let us know!
{% endhint %}

### When this is a good fit

•  Your analytics and data teams live in a warehouse day to day

•  You want Aterio data queryable next to your internal datasets

•  You'd rather not build or run ingestion pipelines

•  You need governed, centralized access for a whole team

### What you can do with it

•  Query the full dataset with the tools you already use

•  Join Aterio data against your own data for custom analysis

•  Trace connections across products, like the power behind a data center or every project tied to a company

•  Feed it into dashboards, models, and internal reporting

### How access works

We share the data into your warehouse and scope it to the products you're subscribed to. Setup is handled with you during onboarding.

***

**Ready to see the data?** A short call is the best way to see it in action and find the setup that fits. [Book a call →](https://www.aterio.io/contact-us)


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