Which BI tools document where AI data goes?

Quoted from Databricks’s docsOur model partners do not retain data you submit through these features, even for abuse monitoring.

Quoted from Snowflake’s docsData stays within Snowflake’s governance boundary. By default, Cortex Analyst is powered by Snowflake-hosted LLMs from Mistral and Meta, ensuring that no data, including metadata or prompts, leaves Snowflake’s governance boundary.

Quoted from Omni’s docsOnly metadata about the current query, user prompt, and selected topic fields is sent to the LLM, thus maintaining the privacy and security of your data.

Quoted from Hex’s docsHex sends Customer Input Data (project code), Customer Output Data (project/cell runs), and Hex Metadata (schema information and table and column names), submitted prompts, and any resulting responses to LLM providers for the purposes of delivering Hex's AI features.

Quoted from Sigma’s docs When you configure an External AI Model , Input Data , Prompts , Customer Data , and User Information used for AI-enabled features will be sent to that External AI Model under your organization’s API credentials and will be handled per that External AI Model’s terms and your configuration.

Quoted from BigQuery’s docsWhen a user uses Gemini in BigQuery, a prompt and its relevant context are sent to Google's large language models (LLMs) for processing.

Quoted from Looker’s docsConversational analytics uses Gemini for Google Cloud to interpret natural language questions and provide answers in Looker based on your data.

Quoted from Tableau’s docsDue to our zero data retention policies in place with our third-party LLM providers, any data sent to the LLM isn’t retained and is deleted after a response is sent back.

Quoted from Power BI’s docsThis summary is generated by sending a semantic query result back to Azure OpenAI (which includes data points) and requesting a natural language explanation.

Quoted from Metabase’s docsResult rows are sent to the LLM provider.

Quoted from Alteryx’s docsAsk Alteryx uses Google Gemini models hosted on Google Cloud’s Vertex AI platform to generate.

Quoted from MotherDuck’s docsAmazon Bedrock has a zero data retention policy and does not share your prompts or data with model providers.

Quoted from Mode’s docsNOTE: When you generate, Mode pulls the currently selected warehouse name, column names & data types for all tables explicitly referenced in your SQL, and sends them and your SQL edits to OpenAI for context.

Quoted from Redshift’s docsAlthough cross-region inferencing doesn’t change where your data is stored, your requests and output results may move outside of the Region where the data originally resides.