Optimizing performance in Snowflake¶
The following topics help guide efforts to improve the performance of Snowflake.
- Exploring execution times
- Gain insights into the historical performance of queries using the web interface or by writing queries against data in the ACCOUNT_USAGE schema. 
- Optimizing query performance
- Learn about options for optimizing Snowflake query performance. 
- Optimizing warehouses for performance
- Learn about strategies to fine-tune computing power in order to improve the performance of a query or set of queries running on a warehouse, including enabling the Query Acceleration Service. 
- Optimizing storage for performance
- Learn how storing similar data together, creating optimized data structures, and defining specialized data sets can improve the performance of queries. - Helpful when choosing between Automatic Clustering, Search Optimization Service, and materialized views. 
- Analyzing query workloads with Performance Explorer
- Learn how to use Performance Explorer in Snowsight to monitor interactive metrics for SQL workloads. 
- Snowflake Optima
- Learn how Snowflake Optima continuously analyzes workload patterns and implements the most effective strategies automatically.