
Snowflake's data sharing eliminates the need for expensive data replication and ETL processes. Discover how to leverage it for cost savings.

Snowflake's data sharing eliminates the need for expensive data replication and ETL processes. Discover how to leverage it for cost savings.
Traditional data sharing requires extracting, transferring, loading, storing duplicate data, and ongoing synchronization - all expensive operations.
Traditional ETL:
- Daily extraction: 10 credits
- Data transfer: $500/month
- Loading: 15 credits/day
- Storage duplication: $2,000/month
Total: ~$3,500/month
Secure Data Sharing:
- Setup: One-time, minutes
- Data transfer: $0
- ETL: $0
- Storage: $0 (single copy)
Total: ~$0/month
-- Provider creates share
CREATE SHARE customer_analytics_share;
GRANT USAGE ON DATABASE analytics TO SHARE customer_analytics_share;
GRANT SELECT ON analytics.public.customer_metrics
TO SHARE customer_analytics_share;
-- Add consumer account
ALTER SHARE customer_analytics_share ADD ACCOUNTS = xy12345;
A SaaS company was providing data to 50 enterprise customers via nightly ETL: 500GB/night per customer = 25TB/night, ETL compute: 200 credits/night × 50 = 10,000 credits/night, storage duplication: 25TB, monthly cost: ~$45,000.
By switching to Secure Data Sharing: Zero data movement, zero ETL compute, single copy of data (500GB vs 25TB), data always current, monthly cost: ~$300 (monitoring only). Savings: $44,700/month (99% reduction).
Uncover hidden inefficiencies and start reducing Snowflake spend in minutes no disruption, no risk.