Improving Query Performance in Snowflake and Its Related Costs
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In the previous article, we understood how to Optimally Use Snowflake Warehouse and Tables.
So let’s continue this blog series, where we will now focus on improving the performance in Snowflake and its associated costs.
As we know, Snowflake tables are micro-partitioned, which significantly improves query performance. However, over time, you may experience slowness in queries due to increased DML operations on large datasets.Â
In such cases, you can cluster the table or use the search optimization service to improve performance. Before deciding which option to choose, you should consider the specific use cases in which they are most beneficial and the associated cost impacts. Otherwise, you may encounter fewer optimizations and higher maintenance costs.