Change streams for capture
Continuous change capture picks up inserts, updates and deletes as they happen.
Connect MongoDB to Snowflake with Polytomic. Replicate collections across databases with nested documents and arrays kept as structured values, using change streams for continuous capture including deletes.
Continuous change capture picks up inserts, updates and deletes as they happen.
Embedded documents and arrays arrive as structured values Snowflake stores as VARIANT.
Where change streams are unavailable, a tracking field supports incremental reads.
Polytomic is bi-directional by default, so you can move data the other way just as easily.
Snowflake to MongoDB
Jonathan Krangel
VP Global Head of Revenue Operations
“Polytomic handles so many ETL and sync jobs at Cursor. They are a true partner to us.”
Follow these simple steps to connect MongoDB with Snowflake in minutes
Connect MongoDB
Connect Snowflake
Create sync
Enable sync
Connect MongoDB to Polytomic using an Atlas SRV string or explicit host details.
Connect Snowflake to Polytomic with account details, a role, a warehouse, and credentials.
Sync data in either direction between MongoDB and Snowflake. Choose the source data and destination objects for the direction you need.
Map the fields, choose the sync schedule and behavior, then save and enable the sync.
Get answers to common questions about the integration process
Sync data in either direction between MongoDB and Snowflake.
Use both integrations' source and destination capabilities in one managed sync workflow.
Enterprise encryption and security protocols ensure your data remains protected.
Get up and running in minutes with our step-by-step integration guide.