For developers who prefer terminal-based workflows, SnowSQL can execute queries and pipe the results directly to a local file.
This method supports compression (e.g., gzip), custom delimiters, and partitioning results across multiple files for faster processing. 3. Using SnowSQL (Command Line Interface) snowflake download query results
You can unload results directly to external stages like Amazon S3, Google Cloud Storage , or Azure Containers . For developers who prefer terminal-based workflows
If you are using Snowflake Notebooks, you can also download specific cell data by hovering over the results table and selecting Download data as .csv . 2. Exporting Large Results via COPY INTO (Data Unloading) Google Cloud Storage
For massive datasets or automated workflows, Snowflake recommends the COPY INTO command. This "unloads" data from a query result into a (a storage location).