Skip to main content Connect your Snowflake data warehouse to Basedash to analyze and visualize your enterprise data.
Prerequisites
A Snowflake account
User credentials with appropriate access
Account identifier (organization-account.region)
Warehouse, database, and schema information
Connection setup
From your Basedash dashboard, click “Add Data Source”
Select “Snowflake” as your data warehouse
Enter your connection details:
Account identifier
Username
Password
Warehouse name
Database name
Schema (optional)
Role (optional)
Click “Test Connection” to verify
Save your connection
Required permissions Your Snowflake user needs:
USAGE on warehouseUSAGE on databaseUSAGE on schemaSELECT on required tablesMONITOR on warehouse (recommended)
Best practices
Create a dedicated user for Basedash
Use appropriate warehouse sizing
Grant minimum required permissions
Set resource monitors for cost control
Regularly rotate credentials
Choose appropriate warehouse size
Use clustering keys for large tables
Leverage materialized views
Set up proper table maintenance
Configure query timeouts
Enable result caching
Troubleshooting
Verify user permissions
Check warehouse availability
Monitor credit usage
Review query history for errors
Validate network access
Next steps: Add custom context You can add custom context to help the AI better understand your data structure and business logic. Consider adding context at the database or schema level if you notice the AI struggling to locate or understand specific data.
When to add context
Complex transformed data : When the AI needs help understanding data transformation logicBusiness-specific metrics : If calculated fields or KPIs need additional explanationUnclear naming conventions : When table or column names don’t clearly indicate their purpose
For detailed guidance, see our custom context documentation . 
