Head-to-head · Cloud Disaster Recovery Software
Datto SIRIS vs IBM VM Recovery Manager for Power
Datto SIRIS leads on 0 checks, IBM VM Recovery Manager for Power on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDatto SIRIS · 8.6/10
- Most featuresDatto SIRIS · 2 of 3
Datto SIRIS scores higher on our rubric for cloud disaster recovery software: 8.6 against 8.2 out of 10; our editors rank them #4 and #7.
On replication mode, Datto SIRIS gives you Snapshot where IBM VM Recovery Manager for Power offers Scheduled.
Datto SIRIS is the better fit for IT teams needing fast recovery for servers and VMs. IBM VM Recovery Manager for Power is the better fit for IBM Power and enterprise application recovery.
- Datto SIRIS fits best
IT teams needing fast recovery for servers and VMs
- IBM VM Recovery Manager for Power fits best
IBM Power and enterprise application recovery
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Side by side
| Feature | Datto SIRIS 8.6/10 Visit ↗ | IBM VM Recovery Manager for Power 8.2/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.6 | 8.2 |
| Ranking | #4 in Cloud Disaster Recovery Software | #7 in Cloud Disaster Recovery Software |
| Best for | IT teams needing fast recovery for servers and VMs | IBM Power and enterprise application recovery |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Self-hosted |
| Platforms | Web | Web |
| Built for | Small business, Mid-market, Enterprise | Enterprise |
| Features Datto SIRIS 2/3 · IBM VM Recovery Manager for Power 1/3 | ||
| Failover orchestration | ✓ | ✓ |
| Dependency mapping | Not checked yet | Not checked yet |
| Immutable recovery points | ✓ (best) | Not checked yet |
| Specs | ||
| Replication mode | Snapshot | Scheduled |
| Minimum RPO | 5 min | Not checked yet |
| Minimum RTO | Not checked yet | Not checked yet |
| Supported workloads | physical servers; virtual machines; VMware ESXi; Microsoft Hyper-V | AIX; IBM i; Linux; SAP HANA; OpenShift; Db2; Oracle; SAP; PostgreSQL; NetWeaver |
| Our review | ||
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| Cons |
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| Our verdict | Datto SIRIS is a hybrid-cloud business continuity and disaster recovery solution from Kaseya for managed service providers and IT departments. It protects physical servers and virtual machines, including VMware ESXi and Microsoft Hyper-V… Read the review → |
IBM VM Recovery Manager for Power is a restart-based high-availability and disaster-recovery solution for organizations running AIX, IBM i, and Linux on IBM Power systems. It is aimed at teams recovering IBM Power workloads and enterprise… Read the review → |
Strengths and trade-offs
Datto SIRIS — where it wins
- Incremental backups as often as every five minutes
- Local and cloud instant virtualization with one-click cloud DR
- Immutable architecture, ransomware protection, and recovery verification
Where it doesn't
- Pricing requires a contact-sales process
- Deployment spans appliances or virtual appliances plus cloud storage
- Focused on physical servers and virtual machines rather than broader workloads
IBM VM Recovery Manager for Power — where it wins
- Automates VM failover, restart, and planned relocation
- Supports non-disruptive recovery rehearsals and site VLAN mapping
- Automates IBM i recovery without custom scripting
Where it doesn't
- Focused on IBM Power environments rather than broad infrastructure coverage
- Pricing requires contact with IBM or an IBM business partner
- Replication is scheduled rather than continuous
- Datto SIRIS8.6/10 · Pricing on request
A recovery-focused platform for five-minute backups, virtualization, and cloud disaster recovery.
Visit Datto SIRISFull verdict → - IBM VM Recovery Manager for Power8.2/10 · Pricing on request
A focused recovery platform for IBM Power workloads and enterprise application continuity.
Visit IBMFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





