S3 on both sides
Redshift loads with COPY from S3 and MotherDuck loads Parquet from S3. Two staging configurations, one managed sync.
Move tables between Amazon Redshift and MotherDuck with Polytomic. Both warehouses load through S3, so this is the pairing where bucket regions actually matter, and Polytomic manages the staging on each side while running ETL and reverse ETL between them on a schedule.
Redshift loads with COPY from S3 and MotherDuck loads Parquet from S3. Two staging configurations, one managed sync.
Redshift requires its staging bucket in the cluster region. MotherDuck has no such rule, so the Redshift constraint is the binding one.
Replicate a table at a time and keep both populated, so a shift off Redshift can be tested before anything is switched over.

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Follow these simple steps to connect MotherDuck with Redshift in minutes
Connect MotherDuck
Connect Redshift
Create sync
Enable sync
Connect MotherDuck to Polytomic with an access token and your database name.
Connect Redshift to Polytomic with cluster details, credentials, and an S3 staging bucket.
Sync data in either direction between MotherDuck and Redshift. 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 MotherDuck and Redshift.
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.