# Integrations

To enable integration with cloud services and variety of enterprise databases, zerve provides an inbuilt cloud setup and database connections portal.&#x20;

**Cloud setup** - users can login with their cloud account credentials and use self-service cloud formation to set up zerve instance. Currently this is available for AWS via marketplace with Azure and GCP coming soon.

**Database Connections** - users can read /write data from production databases for model building and predictions. This allows you to quickly train, test models on that data, use data for prediction workflows, write back predictions to database. Zerve has inbuilt connectors for all the widely used databases like Snowflake, MySQL, Postgres and MariaDB with more coming soon.


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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.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.
