Four output formats
CSV, JSON Lines, JSON array and Parquet.
Sync MongoDB to Google Cloud Storage with Polytomic so collections land as files another system can collect. Pick Parquet or JSON Lines if you want nested fields to survive with their structure, and enable change streams if you want each ETL run to write only what moved.
CSV, JSON Lines, JSON array and Parquet.
Documents arrive as JSON fields, not flattened away.
Change stream capture drives the incremental files.
Polytomic is bi-directional by default, so you can move data the other way just as easily.

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 Google Cloud Storage in minutes
Connect MongoDB
Connect Google Cloud Storage
Create sync
Enable sync
Connect MongoDB to Polytomic using an Atlas SRV string or explicit host details.
Connect Google Cloud Storage to Polytomic with a service account JSON key.
Sync data in either direction between MongoDB and Google Cloud Storage. 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 Google Cloud Storage.
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.