Vanna supports many databases including Snowflake, BigQuery, and Postgres, and allows for easy creation of connectors for any database. It also offers pre-trained models for data providers to publish for public use, and is in the process of pre-training models for common datasets like Google Ads and Facebook ads. Users can choose their front end, starting in a Jupyter Notebook and exposing to business users via various platforms, or even integrating it in a web app for customers.
Key takeaways:
- Vanna's capabilities improve with more training data, providing high accuracy for large and complex datasets.
- Vanna ensures security and privacy as it doesn't send your database contents to its servers.
- Vanna allows you to train a custom model specific to your database and schema, with the option to add members or make it public.
- Vanna supports many databases and offers out-of-the-box support for Snowflake, BigQuery, and Postgres.