From a standard three-node Replica Set to geographically distributed and sharded MongoDB architectures, we can build a cluster around your availability, performance and scaling requirements.
↔ oplog synchronization & heartbeat ↔
Illustrative example — actual topology depends on your requirements.
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Pricing comparison based on equivalent configurations as of 1 August 2026.
Do you need the database to continue operating if a database node fails?
Do you need normal HA, or is the database large enough to require horizontal sharding?
Will the cluster run within one region or across multiple geographic regions?
How large is the database today and how quickly is it expected to grow?
Is the application read-heavy, write-heavy or mixed?
MongoDB cluster architecture should be selected around the workload rather than forcing every application into the same topology.
Share Your Requirements3 full data-bearing MongoDB nodes · Best for: Standard Production High Availability
A three-member Replica Set with one Primary and two Secondaries is a common production MongoDB HA architecture. If the Primary fails and a voting majority remains, an eligible Secondary can automatically be elected as the new Primary.
All nodes contain full copies of data. Requires a quorum majority of 2 votes to elect a Primary and accept acknowledged writes.
Typical: 3 Nodes (1+1+1) or 5 Nodes (2+2+1)
MongoDB Replica Set members can be distributed across multiple locations. If one location becomes unavailable and the remaining voting members retain majority, the Replica Set can continue or elect a new Primary.
WAN latency, replication lag and quorum placement must be considered when designing a multi-region cluster. Zero data loss or instantaneous failover is not guaranteed.
Each shard: Primary + Secondary + Secondary · Dedicated Config Server RS
Sharding distributes different portions of the dataset across multiple shards. Each production shard can itself operate as a Replica Set, providing both horizontal data distribution and HA — this is not multiple Primaries for the same copy of data.
Ideal for massive datasets exceeding single-node IOPS or storage thresholds, splitting read/write throughput horizontally.
Best for: Reduced-Node MongoDB 8.0+ Sharded Designs
MongoDB 8.0 introduced the Config Shard architecture, where one shard can also perform the cluster configuration role. For a smaller sharded deployment, this can reduce separate Config Server infrastructure. This design is not available on MongoDB versions prior to 8.0.
Saves node footprint while providing the benefits of horizontal sharding for modern 8.0+ workloads.
Good for: node-level HA, lower replication latency, production redundancy, and simpler architecture.
Within the same region, cluster nodes can use appropriate private networking where supported by the deployment design.
Useful where geographic resilience is required. Multi-region designs require planning around MongoDB voting majority, WAN latency, replication lag, Primary placement and application connectivity.
For MongoDB clusters spanning different cloud regions or zones, secure inter-region connectivity must be configured separately using an appropriate routed solution such as WireGuard, site-to-site VPN or another supported private-connectivity design.
Tell us how your application uses MongoDB and we'll help identify an appropriate MongoDB-supported topology:
Cluster pricing depends on the number and size of database nodes, storage requirements, network design and regions selected.
Pay based on the resources you provision, with flexible hourly billing and no long-term contracts.
Tell us the architecture and workload you need, and we'll help determine the infrastructure required.
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Whether you need high availability, geographic resilience, horizontal scaling or a combination of them, we'll help plan an appropriate MongoDB cluster architecture.
Custom MongoDB cluster deployment available on request.
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