TOOLS
Cluster-to-Cluster Sync. Continuous data sync between separate MongoDB clusters.
Continuously synchronize data between MongoDB clusters in the same or hybrid environments, including Atlas, private cloud, on-premises, and at the edge.
Expand innovation beyond the limits of a single cluster
Support all your multi-environment clusters by synchronizing data in Atlas with on-premises and edge data. Build innovative use cases that take full advantage of cluster-to-cluster data synchronization. Simplify data migrations, improve development lifecycles, or spin off dedicated analytics environments.
Take full control of your data synchronization
Start, stop, pause, and resume your cluster synchronization as needed. The synchronization process can be paused for hours or even days, depending on the size of your MongoDB oplog. This includes the ability to pick up where you left off in the event of a hardware failure or system error.
Enable data movement with reliability
The only MongoDB solution for enabling long-running cross-cluster sync. Seamlessly sync real-time data across your clusters to create target read-only clusters.
Feature overview
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.
What 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