Snowflake compute costs are derived from the consumption of credits in three main categories: Virtual Warehouse Compute, Serverless Compute, and Cloud Services Compute. Each category has distinct billing mechanisms, features, and optimization strategies, which collectively impact the overall expenditure for using Snowflake's cloud data platform.
How Does Virtual Warehouse Credit Usage Work?
Virtual Warehouse Compute is user-managed and used for executing queries, loading data, and performing other DML operations. The billing for virtual warehouses is per-second, with a minimum charge of one minute each time a warehouse is started, resumed, or resized.
Billing stops when warehouses are suspended, which can significantly reduce costs if managed properly.
How is Serverless Credit Usage Billed?
Serverless Compute is managed by Snowflake and dynamically scales based on workload needs. The billing is based on compute-hours, measured per second and rounded up to the nearest whole second.
- Automatic Clustering: Serverless Compute includes automatic clustering to optimize data storage and retrieval.
- COPY FILES: This feature allows for efficient data loading into Snowflake.
- Data Quality Functions: Serverless Compute supports various data quality functions to ensure data integrity.
What are Cloud Services Compute Costs?
Managed by Snowflake, Cloud Services Compute is responsible for coordinating activities across the Snowflake ecosystem. Cloud Services are charged only if the daily consumption exceeds 10% of the daily usage of virtual warehouses.
How Can Costs Be Optimized?
Snowflake provides several insights and recommendations to help users optimize compute costs.
These recommendations focus on identifying rarely used resources and adjusting usage patterns.
- Rarely Used Tables with Automatic Clustering: Disable automatic clustering if the table is rarely queried.
- Rarely Used Materialized Views: Remove or suspend updates to materialized views that are rarely queried.
- Rarely Used Search Optimization Paths: Remove search optimization for rarely used paths.
- Large Tables That Are Never Queried: Consider deleting these tables.
- Tables Over 100GB From Which Data Is Written But Not Read: Consider deleting or stop writing new data.
- Short-Lived Permanent Tables: Use temporary or transient tables for short-lived data.
How Can Cloud Services Usage Be Optimized?
To reduce cloud services usage and associated costs, Snowflake offers specific recommendations for optimizing cloud services consumption:
- Blocked Queries Due to Transaction Locks: Minimize locks by using batch updates.
- Copy Commands with Poor Selectivity: Structure S3 buckets to list only targeted files.
- High Frequency DDL Operations and Cloning: Ensure cloning patterns are granular and not too frequent.
- High Frequency, Simple Queries: Review and adjust query frequency.
Common Challenges and Solutions
- Challenge: High compute costs due to inefficient warehouse usage. Solution: Regularly monitor and resize warehouses based on workload.
- Challenge: Unexpected cloud services charges. Solution: Review and optimize cloud services usage patterns.
- Challenge: Over-provisioning of serverless compute. Solution: Set up alerts and monitor usage to avoid unnecessary costs.
Recap of Snowflake Compute Costs
Snowflake compute costs are primarily driven by the consumption of credits across Virtual Warehouse Compute, Serverless Compute, and Cloud Services Compute. Efficient management of these resources, along with strategic optimizations, can lead to significant cost savings. Users are encouraged to continuously monitor their usage patterns and adopt best practices to minimize unnecessary expenditures.
- Virtual Warehouse Compute: User-managed, billed per-second with a minimum charge of one minute.
- Serverless Compute: Managed by Snowflake, dynamically scales, billed per second.
- Cloud Services Compute: Managed by Snowflake, charged only if daily consumption exceeds 10% of virtual warehouse usage.
