# Snowflake

### How it works:

After initial setup in assets, anyone with access can securely query Snowflake using Zerve's sophisticated SQL blocks within the canvas interface.

Zerve's robust platform supports both pure SQL development and Python integration. Build comprehensive analyses and data applications using SQL alone, or seamlessly combine it with Python's extensive libraries - all within a single, unified environment. No need to switch tools or transfer data.

The same connection can also be used in snowpark blocks to write python queries which can be run on snowpark compute.

### How to Connect:

* Account name
* Warehouse
* Database
* Username
* Password

<figure><img src="/files/W3McgeTWA9sxr1Pw2udt" alt=""><figcaption></figcaption></figure>


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# Agent Instructions: Querying This Documentation

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

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.zerve.ai/guide/integrations/database-connections/snowflake.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.