Automate Snowflake ingestion from secure file transfers

Couchdrop connects to Snowflake as a platform integration for automated data ingestion, rather than as a standard virtual folder connection.

After the Snowflake connection is configured, it can be used inside Couchdrop Automations. When files are received through Couchdrop, the automation can map structured or semi-structured file data to the schema of a Snowflake table and insert the contents directly into Snowflake.

This lets teams collect data from SFTP, FTP, cloud storage, APIs, inbound webhooks, and other Couchdrop sources, then load that data into Snowflake without maintaining separate ETL infrastructure.

• Insert file data directly into Snowflake tables from Couchdrop
• Use Snowflake as a platform integration inside Transfer Automations and File Actions
• Map incoming file data to Snowflake table schemas
• Ingest structured and semi-structured files from multiple Couchdrop sources
• Support automated data loading from SFTP, FTP, cloud storage, APIs, and inbound webhooks
• Use Couchdrop to handle file intake and ingestion orchestration before data reaches Snowflake
• Reduce the need for custom ETL scripts for file-based Snowflake ingestion

1. Confirm you have a Snowflake account and access to the table you want Couchdrop to write to.
2. Prepare the required Snowflake access credentials, including the account ID and access key.
3. In Couchdrop, add a new system integration.
4. Select Snowflake from the available platform integrations.
5. Enter the required Snowflake connection details.
6. Click Add System Integration and complete the setup wizard.
7. Create an Automation in Couchdrop.
8. Select Snowflake as the platform type.
9. Configure the mapping between your incoming file data and the target Snowflake table schema.
10. Test the workflow with a sample file to confirm the data is inserted into Snowflake correctly.