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

# Integrations

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

**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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