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Connect Looker to Snowflake
Technical Integration Guide & Cost Analysis
Integration Status
Looker offers a native integration with Snowflake. For most standard use cases (basic contact sync, simple order transfer), this built-in connection is sufficient and free.
Data Flow Architecture
Looker Snowflake Integration Overview
Streamline data integration between Looker and Snowflake with our seamless connector. Automate analytics and eliminate manual data entry.
Primary Use Case
Sync Snowflake data to Looker for real-time analytics and data-driven decision-making.
medium
30 minutes
Frequently Asked Questions
How do I connect Looker to Snowflake? ▼
There's no native integration. To connect them, you will need a middleware tool like Make or n8n.
Is the connection between Looker and Snowflake secure? ▼
Yes. This integration typically uses OAuth 2.0, meaning you grant permission via a secure login window. You do not need to share your raw password, and you can revoke access at any time from your Looker security settings.
Is the sync one-way or two-way? ▼
This is typically a one-way sync: Looker → Snowflake. Changes in Snowflake do not sync back to Looker.
Will existing data in Looker sync to Snowflake? ▼
Usually, no. Most native integrations are "forward-looking," meaning they only sync data created or updated *after* you activate the connection. To move historical data, you will likely need to perform a one-time CSV export/import manually.
Can I sync custom fields? ▼
Native integration is limited to standard fields. For custom field mapping, use an automation tool.
Can I add approval steps before syncing? ▼
Native integrations can't do this. For workflows that need human review (e.g., "Manager must approve before creating invoice"), use Relay.app.