Ready to cut costs? Here’s a proven, actionable checklist—downloadable and embeddable—to help you optimize Snowflake storage, step by step.
1. Purge Unused and Stale Data
Regularly review and delete tables, stages, and files that are no longer needed. Use Snowflake’s INFORMATION_SCHEMA views to identify objects untouched for 90+ days. Automate this process with scheduled scripts to ensure nothing lingers unnecessarily.
2. Optimize Time-Travel and Fail-Safe Settings
Set Time-Travel retention to the minimum required for your business (default is 1 day, max is 90). Only use extended retention for critical tables. Similarly, understand that Fail-Safe is fixed at 7 days, but minimizing Time-Travel reduces Fail-Safe storage as well.
3. Compress and Partition Data Efficiently
Snowflake automatically compresses data, but you can further optimize by clustering large tables and partitioning data by date or business unit. This not only reduces storage but also improves query performance.
4. Archive Cold Data
Move infrequently accessed data to cheaper storage tiers or external cloud storage (e.g., AWS S3, Azure Blob). Use external tables or Snowflake’s data unloading features to keep your active warehouse lean.
5. Monitor and Right-Size Storage Usage
Set up dashboards and alerts to track storage growth. Use Snowflake’s Account Usage views to spot sudden spikes or trends. Right-size your storage by regularly reviewing usage patterns and adjusting retention policies.
6. Deduplicate Data and Avoid Redundant Copies
Zero-copy cloning is a powerful feature, but be cautious: clones consume storage as soon as changes are made. Regularly audit for redundant tables, clones, and backups. Deduplicate data where possible to avoid unnecessary costs.
7. Automate Storage Management
Leverage automation tools and scripts to schedule cleanups, enforce retention policies, and alert on anomalies. Stellans.io offers ready-to-use templates and integrations to make this process seamless.