Deploy in minutes, not days. Back up automatically. Restore in minutes. Patch without the risk. NDB handles the full MongoDB lifecycle - so your team can focus on apps, not operations.
Deploy MongoDB in minutes with single-click automation. NDB handles compute, storage, and network configuration end-to-end — so your team gets a production-ready MongoDB environment without the manual setup.
Never lose data you can't afford to lose. NDB delivers application-consistent backups and point-in-time recovery for MongoDB deployments, giving you the confidence to restore quickly and precisely when it matters most.
NDB works natively alongside MongoDB Ops Manager, combining infrastructure automation with MongoDB-native operations in a single workflow. Your team gets unified control over provisioning, backup, restore, and point-in-time recovery — while Ops Manager continues to handle monitoring, profiling, and alerting.
Add shards and expand capacity with greater simplicity and control through a guided workflow, while NDB helps streamline the underlying infrastructure operations—so your MongoDB environment can grow with application demand without adding unnecessary operational complexity.
Built for regulated, production environments. NDB protects MongoDB deployments with role-based access control, TLS in transit, encryption at rest, external key management integration, and audit logging — out of the box.
Keep your MongoDB fleet current without the operational drag. NDB automates OS and database patching across all your instances within planned maintenance windows using pre-validated software profiles - delivering faster patching and operational savings.
Refresh dev and test environments in minutes — not days. NDB spins up full-fidelity MongoDB environments from production data using space-efficient clones, with no storage overhead of full copies.
Run MongoDB where your data lives. Nutanix HCI keeps data local for maximum performance, supports resilient self-healing architecture, and scales without limits - delivering consistent, predictable MongoDB performance at enterprise scale
Self-managed MongoDB vs. MongoDB on NDB.
| Operation | Without NDB | With NDB for MongoDB |
|---|---|---|
| Provisioning | VMs, networking, storage, and MongoDB configured separately - often via bespoke scripts per environment | Single workflow provisions VMs, networking, storage, and MongoDB together — replica set or sharded cluster |
| Patching | Each node patched manually — scheduling and sequencing across a fleet managed individually | Fleet-level patching with pre-validated profiles. Scheduling windows let you control when maintenance runs across your fleet. |
| Backup | Consistent backups require manual coordination across nodes — scheduling, sequencing, and validating snapshot consistency is left to the operator or custom scripting | Storage-level snapshots are near-instantaneous and impose no copy overhead on the running workload. NDB automates cluster-wide consistent backups — safe and fast regardless of topology or database size. |
| Recovery | Full data copy restore — duration scales with database size | Snapshot restore works by redirecting pointers, not copying data — so recovery is fast and the time is largely independent of database size. A 50TB restore takes roughly the same time as a 500GB one. |
| PiTR | Requires manual oplog tailing setup — no unified interface, complex to configure correctly across a fleet, and recovery to a precise moment depends on operational discipline | Point-in-time recovery to second-level granularity, out of the box. Restore to any precise moment within your retention window — not just the last snapshot. |
| Clone | Full data copy required — storage doubles, takes significant time for large databases | Redirect-on-write thin clones (replica sets only) — minimal storage overhead, provisioned in minutes New writes go to new locations; the clone references the original snapshot blocks until divergence occurs. |
| Clone refresh | No automated refresh — updating a dev/test clone from production requires a full re-clone manually | Automated clone refresh from a newer production snapshot — dev/test environments stay current without reprovisioning (Replica sets only) |
| Horizontal scaling | Adding shards requires manual coordination across MongoDB nodes, VMs, storage, networking, and cluster configuration—often involving custom scripts and operational downtime or risk. | Add shards through a guided workflow that coordinates MongoDB and the underlying infrastructure, making it faster and simpler to scale capacity and throughput as data and application demand grow. |
| Software profiles | MongoDB version and OS configuration applied manually per instance — consistency depends on operational discipline | Software profiles enforce consistent MongoDB version and OS configuration across every provisioned instance |
| Hybrid cloud | Infrastructure provisioning, patching, and backup managed separately per environment — different tooling and runbooks for on-prem vs. cloud | Single NDB control plane for infrastructure lifecycle (provisioning, patching, backup) across on-premises Nutanix and cloud (AWS/Azure via NC2) |
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