In Snowflake's data sharing model, any full Snowflake account can both provide and consume shared data.
Additionally, the data consumer pays only for the compute resources used to query the shared data. No actual data is copied or transferred between accounts, and shared data does not take up any storage in a consumer account, so the consumer does not pay for data storage1.
References = Introduction to Secure Data Sharing | Snowflake Documentation

In the execution time summary of a Query Profile in Snowflake, the categories included provide insights into various aspects of query execution. "Pruning" refers to the process by which Snowflake reduces the amount of data scanned by eliminating partitions of data that are not relevant to the query, thus improving performance.
"Initialization" represents the time taken for query planning and setup before actual execution begins. These metrics are crucial for understanding and optimizing query performance.
Reference: Snowflake Documentation on the Query Profile, which outlines the different metrics and categories included in the execution summary:
https://docs.snowflake.com/en/user-guide/ui-query-profile.html#execution-summary

Explanation
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-intro.html