Point in time files
Each run writes a complete snapshot.
Export Azure SQL to Google Cloud Storage with Polytomic so tables land as files in a bucket. Since the source exposes no change data capture, each export is a point in time snapshot rather than a stream of changes to replay.
Each run writes a complete snapshot.
An Azure database to a Google bucket.
Object storage rather than database storage.
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 Azure SQL with Google Cloud Storage in minutes
Connect Azure SQL
Connect Google Cloud Storage
Create sync
Enable sync
Connect Azure SQL to Polytomic with server, database, and SQL authentication credentials.
Connect Google Cloud Storage to Polytomic with a service account JSON key.
Sync data in either direction between Azure SQL 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 Azure SQL 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.