TOOLS
Cluster-to-Cluster Sync. Sync data between separate MongoDB clusters.
Migrate data between MongoDB clusters in the same or hybrid environments, including Atlas, private cloud, on-premises, and at the edge.
Migrate your cluster anywhere you want to run it
MongoDB gives you the flexibility to run anywhere and Cluster-to-Cluster Sync helps you move your data there. You can easily migrate your databases that are on-premises, in a private cloud, hybrid cloud, or public cloud with minimal downtime.
Get more control over your migrations
Cluster-to-Cluster Sync gives you more options like migrating between different versions of MongoDB and migrating from a replica set to a sharded cluster.
Less downtime, more successful migrations
Your original cluster keeps working while the migration takes place. Easily resume synchronization in case of interruptions. An embedded verifier makes sure all your data is correct before you perform the cutover to the new cluster.
Feature overview
SVP of Technology Platforms and Engineering at Amadeus
Learn more about MongoDB’s Cluster-to-Cluster Sync
How does Cluster-to-Cluster Sync work?
How much does Cluster-to-Cluster Sync cost?
Cluster-to-Cluster Sync is free for Atlas and Enterprise Advanced users. If you are a Community Edition user planning to migrate to Atlas, please consult with your MongoDB account team for guidance.
Which versions of MongoDB does Cluster-to-Cluster Sync support?
At the current time MongoDB 6.0 and above versions are supported.
What authentication mechanisms are supported?
Mongosync supports connecting to source and destination clusters via the following authentication mechanisms: SCRAM-SHA-256, SCRAM-SHA-1, MongoDB-AWS and X.509.
What source and destination topologies are supported?
The source and destination clusters must be at minimum a single-node replica set. We also support sharded cluster to sharded cluster synchronizations.
Get started with Cluster-to-Cluster Sync
- Data migrations
- Development lifecycles
- Analytics clusters
- Audits and compliance
- Cloud stressed exit
- Moving data to the edge