A July 2026 disaster-recovery benchmark from AIMultiple tested Acronis Cyber Protect Cloud, Comet Backup, and MSP360 Managed Backup by restoring live Windows Server 2022 and Ubuntu 24.04 machines after a ransomware-style data-encryption event. The verdict is blunt: the products all restored clean data, but only one behaved like a disaster-recovery platform. Acronis turned backup into a running service in roughly a minute or two; Comet and MSP360 turned backup into a manual operations exercise. That distinction matters because in a real outage, the enemy is not just data loss — it is time, ambiguity, and the number of human decisions required while the business is already down.

Three cybersecurity recovery dashboards compare Acronis, Comet Backup, and MSP360 for ransomware recovery times and steps.The Benchmark Separates Recovery From Restore​

Most backup comparisons reward the things backup products are already designed to do: capture data, deduplicate it, store it cheaply, and put it back when asked. This benchmark is more interesting because it asks a harsher question: when the production machine is compromised, how quickly can the workload be made useful again somewhere else?
The test was deliberately small but operationally meaningful. Each product protected a Windows Server 2022 system and an Ubuntu 24.04 system running the same deterministic workload: a web service, a 10,000-row database, and 50 known files. The disaster was a controlled ransomware simulation that encrypted or corrupted the workload data while leaving the operating system alive, forcing the recovery to come from a pre-disaster recovery point rather than from an easy in-place repair.
That design makes the result harder to dismiss. This was not a synthetic file-copy contest or a vendor brochure exercise. The recovered system had to boot, answer an external health probe, and match the original data by checksum. In other words, the benchmark measured the moment users and monitoring systems would care about: when the service is actually back.
The headline table tells the story. Acronis scored 91 and restored in 73 seconds on Windows and about 108 seconds on Linux. Comet scored 35 and restored Linux manually in roughly 15 to 25 minutes. MSP360 scored 21 overall, with Windows recovery in the same 15-to-25-minute class and Linux effectively absent for image-based disaster recovery.

Acronis Wins Because It Owns the Moment After Failure​

The strongest result in the benchmark is not that Acronis restored data correctly. All three products did that. The decisive advantage is that Acronis had a disaster-recovery engine waiting on the other side of the backup.
Acronis Cyber Protect Cloud was the only product tested with an orchestrated DRaaS flow: recovery servers, runbooks, cloud-side failover, completion checks, public-IP assignment, and non-disruptive test failover. In the benchmark, one runbook click started the recovery server in the Acronis cloud, brought up the workload on fresh infrastructure, and returned the application to external reachability. That is why its recovery-time numbers are measured in seconds rather than in operator-shaped ranges.
The runbook detail matters. In a real incident, a runbook is not just convenience; it is a way to reduce panic into procedure. Ordered steps, parallel actions, ping and port checks, approval gates, and nested runbooks turn recovery into something the platform can execute instead of something an administrator has to reconstruct from memory.
Acronis also validates the thing many backup products hand-wave: whether the recovery point actually boots into a usable system. Its automated test failover can boot a recovery server in isolation and assess the result using an AI screenshot check. In the benchmark, that automation correctly flagged a Linux recovery server stuck in journal recovery and later passed a clean Windows boot.
That one failure is not a blemish so much as a useful reminder. A DR platform cannot make a bad recovery point good; it can only expose the problem before production depends on it. The benchmark’s note that a recovery point taken while a backup was still running led to a hung journal-recovery state is exactly the sort of unpleasant discovery DR testing is supposed to surface.

Comet Restores the Machine, but the Operator Performs the Disaster Recovery​

Comet Backup came through on the most basic promise: it restored the ransomware-hit Ubuntu server byte-exact clean, and the recovered application answered from a new host. That is not trivial. For many small providers and technically capable shops, that may be enough if they accept the labor cost and the longer outage window.
But the benchmark makes clear that Comet is a backup product, not a failover product. There is no recovery server waiting in a vendor cloud, no one-click failover, no runbook, no integrated DR network, and no test failover that boots the machine and proves the service is usable. The process is a restore-to-VM or restore-to-disk workflow, with the administrator doing the sequencing.
The reported mechanics are familiar to anyone who has had to rebuild under pressure. Boot rescue media. Install or launch an agent. Select a disk-image restore. Write the image to a target. Fix the network configuration. Reboot. Confirm the service. Hope nothing about the target environment surprises you.
The disk-image write itself reportedly took only about two minutes, which is the misleadingly comforting part. The full recovery took roughly 15 to 25 minutes because disaster recovery is not the disk write alone. It is every step between declaring failover and receiving a healthy response from outside the recovered environment.
Comet’s reach is broader than its automation. Its disk-image format and restore paths can support bare metal, VMware, Hyper-V via conversion, Proxmox, and cloud recovery into AWS or Azure through image export/import style workflows. That makes it flexible in the hands of an experienced operator. It does not make it a DRaaS system.

MSP360’s Windows Recovery Is Useful, but Its Linux Gap Is Fatal to the Score​

MSP360 Managed Backup lands in a more awkward place. On Windows, it looks broadly similar to Comet’s class of recovery: manual, image-based, and workable. In the benchmark, it restored a Windows Server image onto separate cloud hardware, converted GPT/UEFI assumptions for a BIOS/MBR recovery host, booted the machine, fixed networking by hand, and returned the service byte-exact clean.
That is a real capability. The GPT-to-BIOS/MBR conversion is especially practical because dissimilar firmware is exactly the kind of ugly detail that can derail a bare-metal or cloud-target recovery. A product that can repair that mismatch earns credit in the messy world administrators actually inhabit.
But MSP360’s overall score was crushed by operating-system coverage. The benchmark says its Linux agent does file-level backup only, not bootable image backup, which means no comparable Linux restore-to-VM disaster recovery path. Because the test averaged Windows and Linux sub-scores, that missing half of the estate pulled the total down to 21.
This distinction is important for MSPs. A Windows-only customer may look at the MSP360 result and see a tolerable manual-recovery product with broad cloud target support. A mixed Windows and Linux customer should see a structural coverage problem, not a mere scoring quirk.
MSP360 also lacks the DR engine that would make recovery more than a restore. The product may use disaster-recovery language in marketing, and it can restore images to useful destinations, including public clouds. But in this benchmark, the orchestration layer was the human being at the console.

The Data Integrity Result Is the Quiet Good News​

It would be easy to read the score gap as a story of one product working and two products failing. That would be wrong. All three products produced byte-exact recovery of the test workload.
The 50-file SHA-256 manifest matched. The database checksum matched. The ransomware-simulation artifacts were gone. The restored services answered cleanly. From a pure data-protection standpoint, the tested products did the fundamental job.
That is why the benchmark is more damaging to sloppy DR marketing than to backup products themselves. Comet and MSP360 did not fail because they could not restore data. They fell behind because they required too much manual work between stored backup and resumed service.
For WindowsForum readers, that distinction is the useful part. Many environments do not need fully orchestrated DRaaS for every workload. But every environment should know whether its chosen product recovers a machine or merely provides the materials from which an administrator can rebuild one.

The Network Is Where Manual Recovery Becomes Real​

The most revealing operational finding may be the least glamorous: both manual products brought back the source machine’s static network configuration. That is exactly what an image restore should do, and exactly what can make the recovered host unreachable.
On Comet’s Linux restore, the benchmarkers rewrote netplan configuration in the rescue environment. On MSP360’s Windows restore, they used the cloud provider’s out-of-band console to set the correct static IP after the server booted. Neither is exotic work, but both are outage-time work.
This is where DRaaS earns its keep. A platform with a recovery server and defined networking model can attach a public IP, manage VPN connectivity, isolate test networks, and encode much of the network cutover into the failover plan. A manual image restore drops the original machine into a new context and makes the administrator reconcile the difference.
The benchmark also notes that none of the products provided a built-in third-party public DNS failover integration such as automatic Cloudflare-style A-record rerouting. Acronis offers custom DNS and multiple VPN modes, but not an automatic public DNS cutover. Comet and MSP360 leave the network path largely to the operator.
That matters because service recovery is not only boot success. A machine can be alive, logged in, and even internally healthy while still invisible to users. The measured RTO rightly stopped at external reachability, not at “the VM booted.”

Test Failover Is the Feature Buyers Undervalue Until the First Bad Backup​

The benchmark’s Acronis journal-recovery incident is a useful case study in why test failover is not a luxury checkbox. A recovery point captured during an active backup led to a Linux recovery server hanging in journal recovery. The automated test failover caught the failure condition independently.
This is the kind of problem that backup success logs do not always communicate in business terms. A backup job can complete, a recovery point can exist, and the restore process can still produce a system that does not return the workload fast enough — or at all. The only way to know is to boot and test.
Comet’s “simulate restore” style dry run does not substitute for that, because it does not prove that a machine starts and serves traffic. MSP360’s restore verification is more meaningful because it can boot an image as a Hyper-V virtual machine and check logon, but the benchmark could not run it on cloud test hosts without local Hyper-V. It also validates a backup in a local hypervisor context rather than executing a vendor-hosted recovery-site failover.
The difference is not academic. A test failover is rehearsal. A dry run is paperwork. A boot verification is useful, but it is still narrower than proving the full service path under the same recovery model that would be used in a real outage.

Target Breadth Does Not Equal Disaster Recovery Maturity​

One of the benchmark’s more counterintuitive findings is that target reach was not where the products separated. Acronis and MSP360 each reached six of seven destination types, while Comet reached five. On raw destination count, the manual products are not embarrassingly behind.
Acronis has the advantage of a managed recovery site in its own cloud or Azure, plus on-premises VMware and Hyper-V options and documented AWS EC2 migration. MSP360 lacks a vendor-managed DR cloud but reaches AWS, Azure, and Google Cloud through native restore options, making it the only product in the test with a Google Compute Engine path. Comet can reach AWS and Azure through VMDK or VHDX export/import flows, alongside bare metal and common hypervisors.
This is why procurement grids can mislead. A row that says “AWS,” “Azure,” or “VMware” does not tell you whether the product will orchestrate failover into that target or merely generate an image an administrator can carry there. Both are valuable. They are not the same.
For MSPs, the temptation is to sell destination breadth because it looks impressive and maps easily to client questions. The benchmark argues for a more operational question: who does the work when the primary server is gone? If the answer is “the technician,” the target list is just the map, not the recovery plan.

RTO Is a Human-Factors Metric Disguised as a Stopwatch​

The benchmark reports Acronis recovery in precise seconds and Comet/MSP360 recovery as a 15-to-25-minute range. That difference in precision is itself a finding. Automation produces repeatable timings; manual recovery produces operator-dependent windows.
Acronis ran consecutive failover drills and averaged the results because the workflow was controlled by the platform. Comet and MSP360 had machine-level steps that could be timed precisely, but the full recovery included provisioning, rescue workflows, image handling, networking edits, and reboot sequencing. Those are human steps, so the honest number is a range.
That does not mean 15 to 25 minutes is bad for every workload. For a small internal application, a branch-office service, or a non-critical host, that might be perfectly acceptable. For a revenue-facing service, a domain controller, a line-of-business database, or a healthcare workflow, the distinction between 73 seconds and 20 minutes is not cosmetic.
The more important lesson is that RTO is not just a storage-performance measure. It is a measure of how many assumptions have been pre-decided. Acronis pre-decides more of them in the platform. Comet and MSP360 leave more of them for the incident.

The Marketing Word “DRaaS” Needs a Receipts Test​

The benchmark lands especially hard on the industry’s elastic use of “DRaaS.” Disaster recovery as a service should mean the vendor provides a recovery environment and orchestrates failover into it. By that definition, Acronis fits the category in this test.
Comet and MSP360 are closer to backup products with disaster-recovery-capable restore paths. That is not an insult. A manual image restore to a cloud VM or hypervisor can absolutely be part of a disaster-recovery plan. But the plan is not the product unless the product can execute the failover.
This is where buyers should ask concrete questions instead of accepting category labels. Is there a recovery server? Is there a runbook? Can the product perform a non-disruptive test failover? Does it assign networking automatically? Can it prove the workload is reachable externally? Does failback involve delta synchronization, or is it a full manual restore in reverse?
The benchmark’s scoring reflects that philosophy. Failover automation, test failover, connectivity, and failback are not decorative enterprise features. They are the difference between a backup archive and a recovery system.

Windows Shops Can Read the Results Differently Than Mixed Estates​

For a Windows-only environment, MSP360’s low overall score needs context. The Windows recovery path worked, and the product showed useful restore breadth. If the business can tolerate a manual 15-to-25-minute recovery and has staff ready to execute it, MSP360 may still belong in a shortlist for backup-led recovery.
For Linux-heavy or mixed estates, the conclusion is harsher. MSP360’s lack of Linux image-based recovery means it cannot provide symmetric disaster recovery across the environment tested. That does not merely lower a benchmark number; it complicates the operating model.
Comet looks more balanced across Windows and Linux image backup, but still lacks orchestration. It is better understood as a flexible backup engine that can be used in a DR plan rather than as the DR platform itself. In the right hands, that distinction may be acceptable.
Acronis is the only one of the three that behaved like a service-continuity product across both tested operating systems. Its main caveat is not recovery speed but operational discipline around recovery-point quality and failback. The benchmark notes that returning to original hardware may require bootable media and manual reprotection, so the story is not magic from failure to final steady state.

The Ransomware Scenario Favors Platforms That Reduce Decisions​

The simulated disaster did not crash the operating system. It corrupted the workload data and left the source machine running, which resembles many ransomware incidents where the first priority is to avoid restoring corrupted state or continuing to trust a compromised host.
In that scenario, the safest move is often to recover elsewhere from a known-good point. The benchmark’s Acronis note — pause the running backup before failing over and select a clean recovery point — is a reminder that speed must not outrun judgment. Fast recovery from a bad point is still bad recovery.
Manual products make that judgment harder because the administrator is also building the recovery environment. During an incident, the same person may be deciding which recovery point is clean, provisioning a target, writing the image, repairing boot configuration, changing network settings, and verifying data integrity. That is a lot of cognitive load at the worst possible time.
Automation does not remove the need for judgment, but it narrows the number of moving parts. That is why Acronis’s advantage is bigger than its stopwatch number. It shifts the recovery workflow from improvised engineering to controlled execution.

The Scoreboard Says “Acronis,” but the Real Winner Is a Better Definition​

The benchmark’s weighted score — 91 for Acronis, 35 for Comet, 21 for MSP360 — is useful, but it should not be read as a universal buying order. It is a score for disaster recovery under a specific methodology, not a complete evaluation of pricing, support, storage economics, security posture, or everyday backup management.
What the score does establish is a clean taxonomy. Acronis is a DRaaS platform with backup underneath it. Comet is a backup platform that can be used for manual disaster recovery. MSP360 is a backup platform with useful Windows image recovery and broad cloud restore destinations, but with a major Linux image-recovery gap.
That taxonomy is more valuable than the numbers alone. It gives administrators a way to challenge vendor language and internal assumptions. If a product cannot run a recovery server, execute a runbook, perform a real test failover, and bring a service up on alternate infrastructure without hand assembly, calling it disaster recovery is generous.
The benchmark also reinforces an old truth: the restore is not the recovery. Recovery includes bootability, network identity, application health, external reachability, and data integrity. Leaving any of those to be discovered during an incident is how backup confidence turns into outage pain.

The Practical Lesson Hidden in the Stopwatch​

The useful buying guidance from this benchmark is not “always buy the fastest product.” It is to match the recovery model to the business consequence of downtime. A manual image restore can be rational for some workloads; it is reckless for others.
  • Acronis was the only tested product that delivered orchestrated failover through a recovery server and runbook rather than a manual restore workflow.
  • Comet and MSP360 both restored data cleanly, but their recoveries depended on an operator provisioning, restoring, fixing networking, and validating service return.
  • MSP360’s Windows image recovery was materially stronger than its overall score suggests, but its lack of Linux image-based recovery is a serious limitation for mixed estates.
  • All three products produced byte-exact recovery of the tested workload, so the benchmark’s separation is about automation, RTO, and operating-system coverage rather than data correctness.
  • Network reconfiguration was a decisive manual-recovery friction point because restored images carried source-side static addressing into a new environment.
  • Buyers should treat “DRaaS” as a claim that requires proof of runbooks, recovery servers, test failover, networking automation, and a credible failback path.
The fairest reading of the benchmark is that Acronis wins the disaster-recovery test because it treats failure as an event to be orchestrated, while Comet and MSP360 treat it as a restore job to be operated. For WindowsForum’s audience, that is the distinction to carry into the next renewal meeting: backup is the copy, disaster recovery is the choreography, and ransomware-era resilience increasingly depends on how much of that choreography has already been rehearsed before the pager goes off.

References​

  1. Primary source: AIMultiple
    Published: 2026-07-02T20:40:13.093270
  2. Related coverage: help.msp360.com
  3. Related coverage: docs.cometbackup.com
  4. Related coverage: msp360.com
  5. Related coverage: cometbackup.com
  6. Related coverage: acronis.com
  1. Related coverage: dl.acronis.com
 

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AIMultiple’s July 2, 2026 disaster-recovery benchmark found Acronis Cyber Protect Cloud restoring a Windows Server 2022 workload in 73 seconds and Ubuntu 24.04 in roughly 108 seconds, while Comet Backup and MSP360 Managed Backup required manual restore-to-VM procedures measured in tens of minutes. The test matters because it did not ask the usual backup question — “Can the data be restored?” — but the operationally uglier one: “How quickly can the service return on different infrastructure?” As reported by AIMultiple and corroborated by vendor documentation from Acronis, Comet, and MSP360, the answer splits the field less by integrity than by orchestration. All three restored clean data; only one behaved like a disaster-recovery system.

Cybersecurity infographic showing verified backup recovery timelines, checksums, and VM restore steps under ransomware-themed alerts.The Backup Worked, and That Was the Least Interesting Result​

The most important line in AIMultiple’s benchmark is not Acronis’ 73-second Windows recovery time, although that is the number that will make the sales decks. The more revealing finding is that Acronis, Comet, and MSP360 all produced byte-exact recoveries against the pre-disaster baseline. The 50-file SHA-256 manifest matched, the database checksum matched, and the ransomware-style corruption was gone.
That means this was not a story about backup reliability in the narrow sense. The products did the thing backup products are supposed to do: preserve recoverable state. The benchmark instead exposed the widening gap between having a restorable image and having a machine back online, reachable, correctly networked, and verified after the original server has been declared lost.
That distinction is easy to blur in marketing language. “Cloud DR,” “DRaaS,” “instant restore,” and “bare-metal recovery” often sit near each other on vendor pages, but they describe very different operational realities. AIMultiple’s test usefully turned those phrases into a stopwatch, a health probe, and a checksum.
The practical lesson for WindowsForum’s audience is blunt: if your disaster-recovery plan begins with “restore the image somewhere,” you may have a good backup plan. You do not necessarily have a disaster-recovery plan.

Acronis Wins Because It Treats Recovery as a Workflow​

Acronis Cyber Protect Cloud’s advantage came from the fact that it has a disaster-recovery engine at all. In AIMultiple’s test, the product recovered the Windows workload in 73 seconds and the Linux workload in about 108 seconds from a runbook-driven failover into the Acronis cloud. The recovered server received a public IP automatically and served the application externally without an operator walking through provisioning, disk writing, network repair, and reboot sequencing.
That tracks with Acronis’ own disaster-recovery documentation, which describes runbooks as instructions for launching a production environment in the cloud. The important part is not merely that Acronis can boot a server elsewhere. It is that the product models recovery as an ordered process: start this server, wait for ping, check this port, gate this step, continue to the next dependency, and validate the outcome.
That is what separates an orchestrated failover from a restore job. A restore job is a file or image operation. A failover is a service operation. One asks whether blocks were copied; the other asks whether the workload is alive.
AIMultiple’s benchmark rewarded that distinction heavily. Acronis scored 91 overall, compared with 35 for Comet and 21 for MSP360. The gap was not because Comet and MSP360 could not restore data. It was because they left the surrounding work — target provisioning, boot validation, networking, and reprotection — to the human operator.
There is a caveat, and it is an important one. AIMultiple reported that an Acronis failover attempt against a recovery point captured while a backup was still running produced a recovery server stuck in journal recovery. The automated test failover caught the bad boot condition and marked it as a failure, and a redo against a known-good recovery point succeeded. That is a mark in Acronis’ favor on detection, but also a reminder that orchestration does not magically make every recovery point safe.

The Screenshot Validator Is More Than a Gimmick​

Automated test failover sounds like a feature built for compliance screenshots, and in many environments that is exactly how it will be used. But AIMultiple’s Acronis result shows why test failover is more than paperwork. The product’s AI screenshot validation reportedly flagged a Linux recovery server stuck in journal recovery as a failed boot, then correctly passed a clean Windows boot.
That matters because recovery testing is where many backup programs quietly collapse. Backups are scheduled, dashboards turn green, and restore tests get deferred until the day someone actually needs them. A test failover that boots an isolated recovery server and validates the result does not eliminate the need for human drills, but it changes the default from trust to evidence.
Comet’s “Simulate restore only” did not qualify in the benchmark because it does not boot a machine. MSP360’s restore verification goes further by building and booting a Hyper-V VM, but AIMultiple notes that it depends on local Hyper-V and validates a backup rather than failing over to a recovery site. That is useful, but it is not the same operational object.
For administrators, the distinction is subtle until it is not. A backup verification feature can tell you that an image is plausible. A failover test can tell you whether the service would plausibly come back somewhere else. In a ransomware incident, that difference is the line between a dashboard and a war room.

Comet Shows the Strength and Limit of Honest Backup​

Comet Backup’s showing is almost refreshingly straightforward. AIMultiple found that Comet has no recovery server, no runbook, no one-click failover, and no real test failover. Its disaster-recovery guide, according to the benchmark and Comet’s documentation, is more about protecting Comet’s own management console and storage infrastructure than orchestrating customer workload failover.
That does not make Comet a bad backup product. In the test, Comet recovered the ransomware-hit Ubuntu server byte-exact and externally reachable on a fresh host. The disk-image write itself took about two minutes. The problem was everything around that disk write.
The full procedure took 15 to 25 minutes because it was a manual recovery chain: boot rescue media, install or access the agent, restore to a physical device, rewrite networking, reboot, and verify the service. Each of those steps is understandable. Each is also a place where an exhausted operator can lose time during an incident.
Comet’s target reach is respectable. Its documentation describes disk-image restore paths for physical hardware and virtual environments, including VMware-compatible formats and recovery media. AIMultiple credited it with five of seven destination categories, including bare metal, Hyper-V, VMware vSphere, Proxmox, and AWS or Azure via virtual disk export.
But that breadth should not be confused with orchestration. Exporting a disk image that can eventually become a VM is not the same as failing over a workload. Comet’s benchmark result is a good reminder that portability is not continuity.

MSP360’s Windows Recovery Is Better Than Its Cross-OS Score Suggests​

MSP360’s 21 weighted score looks brutal, but the number needs unpacking. AIMMultiple scored Windows and Linux separately and averaged them. MSP360’s Linux agent is file-level only according to the vendor’s own edition comparison, so it had no image-based Linux disaster recovery to score. That zero on half the benchmark dragged down the total.
On Windows, MSP360 looked much closer to Comet’s recovery class. AIMultiple restored a full-disk image, used GPT-to-BIOS/MBR conversion for a BIOS-mode recovery host, booted Windows Server on separate hardware, corrected networking, and reached an external health probe with byte-exact data. The restore engine produced the bootable image in five to six minutes, while the full end-to-end restore-to-VM process landed in the same 15-to-25-minute manual range as Comet.
The firmware conversion is not a minor detail. Anyone who has restored Windows images across dissimilar hardware knows that boot mode mismatch can turn a theoretically valid image into a dead end. MSP360’s ability to rebuild the boot configuration for BIOS from a UEFI/GPT source is the sort of practical recovery feature that earns trust in the field.
MSP360 also has broad target support. AIMultiple credited it with physical disk restore, Hyper-V, VMware vSphere, VirtualBox, Amazon EC2, Azure VM, and Google Cloud Instance paths, making it the only product in the test with a native Google Compute Engine route. On raw destination count, it tied Acronis at six of seven.
And yet the same caveat returns: breadth is not failover. MSP360’s own material discusses image-based backup, restore verification, and restore destinations, but the benchmark found no recovery server, no runbook, and no managed DR cloud. For a Windows-only shop that accepts manual recovery, MSP360 may be a viable backup-and-restore tool. For a mixed Windows and Linux estate, the Linux image gap is decisive.

The Network Is Where Manual Recovery Gets Humbling​

The benchmark’s most sysadmin-realistic finding may be the one that sounds least glamorous: both manual products restored machines with the source server’s static IP configuration. On Comet’s Ubuntu recovery, AIMultiple had to rewrite netplan in the rescue environment. On MSP360’s Windows recovery, the operator had to use the cloud console to set the correct static IP after boot.
This is exactly the kind of problem that does not show up in a backup-completion report. The disk image is fine. The operating system boots. The data is clean. The service is still unreachable because the restored machine believes it is the original machine on the original network.
In a lab, that is a fix. In a real incident, it can become a meeting. Which address should the recovered service use? Who controls DNS? Is the firewall expecting the old subnet? Does the application have bound addresses? Are monitoring and allowlists tied to the old host?
Acronis’ advantage was not that networking disappeared. It was that the product treated networking as part of the recovery design. AIMultiple notes cloud-only mode, site-to-site OpenVPN, multi-site IPsec, point-to-site VPN, per-server public IPs, and custom DNS options. It also notes the absence of a built-in public DNS A-record reroute, which is a fair limitation.
The larger point is that disaster recovery is not storage with better branding. It is compute, identity, routing, firewalling, address management, and application sequencing under time pressure. Manual restore products can absolutely be used in a DR plan, but the plan has to supply everything the product does not.

The RTO Numbers Are Really Labor Numbers​

The headline timing gap — 73 seconds versus 15 to 25 minutes — is easy to read as a pure performance comparison. That is only partly right. The Acronis number measures an automated failover path. The Comet and MSP360 numbers measure a human-driven recovery process with machine work inside it.
AIMultiple was careful about this distinction. Comet’s disk-image write took about two minutes. MSP360’s restore engine produced the bootable image in five to six minutes. The longer total came from the surrounding steps: provisioning, moving images, booting, fixing networking, and checking service availability.
That means the manual products are not merely slower because their engines are sluggish. They are slower because their recovery process is less productized. The operator is the orchestration layer.
That also means the timing range may understate the real-world spread. A calm benchmark operator with a known workload, prepared credentials, and a fixed target environment is not the same as a three-person MSP team recovering ten clients after a regional outage or ransomware event. Manual steps scale badly when every customer is an emergency.
This is where RTO becomes less of a metric and more of a promise. If a vendor cannot specify which parts of the workflow it automates, the customer inherits the uncertainty. “We can restore to Azure” is not the same as “your application will answer in Azure within five minutes.”

DRaaS Has Become a Marketing Word in Need of a Stopwatch​

The benchmark’s most useful contribution may be its implicit definition of disaster recovery-as-a-service. In the strict sense, DRaaS means the vendor provides or manages the recovery environment and orchestrates failover into it. By that standard, Acronis fits the label in this test: a recovery server, a runbook, test failover, and cloud-side execution.
Comet and MSP360 offer meaningful recovery capabilities, but AIMultiple’s findings place them in a different category. They can restore images to machines, virtual disks, hypervisors, and cloud targets. They do not, in this benchmark, provide the failover engine that turns backup state into a running service with minimal operator action.
This is not semantic nitpicking. Procurement teams buy acronyms, but incidents consume procedures. If a product’s “Cloud DR” story requires an operator to provision infrastructure, restore a disk, repair networking, and validate application health, then the customer should budget for that labor and test it regularly.
The danger is not that vendors use expansive language. The danger is that customers translate expansive language into compressed recovery expectations. A backup platform with broad restore targets can be the foundation of a DR strategy, but it is not automatically the strategy.
A better buying question is not “Do you support DRaaS?” It is “Show me the runbook, the recovery server, the test failover, the network mapping, the failback process, and the last successful automated validation.” If the answer is a restore wizard, you know what you are buying.

Failback Remains the Unsexy Half of the Problem​

AIMultiple’s benchmark focused on getting the workload back online, but its failback findings deserve attention. Acronis offers a four-phase delta failback process with planning, data transfer, switchover, and validation, while the cloud server stays live during transfer. Returning to original hardware still requires bootable media and manual reprotection.
That is better than the manual products, where failback is essentially the same restore process in reverse. Comet and MSP360 had no delta-sync failback and no automated reprotect in the benchmark. Once the emergency server is live, the administrator still has to decide how to get back to normal without losing the changes made during the temporary run.
This is often where DR plans become improvised. The restored workload is running, executives declare victory, and the technical debt moves into the next maintenance window. But the environment is now split between the old failed source, the temporary recovery target, the backup repository, and whatever state changed after failover.
Acronis does not make that complexity vanish, especially when returning to original hardware. But it at least treats failback as a lifecycle stage. The manual products treat it as another restore job, which may be acceptable for small environments but becomes risky as application state changes accumulate.
For Windows shops, the implication is clear: test not only failover, but return. A plan that gets a domain controller, SQL server, or line-of-business app running in a cloud VM is only half-tested until you know how it comes home.

This Benchmark Rewards the Thing Ransomware Punishes Least Forgivingly​

Ransomware changed backup evaluation because it changed the failure mode. The problem is no longer simply that a disk died or a user deleted a folder. The problem is that the production environment may be untrusted, damaged, encrypted, or politically unavailable while the business is asking when service returns.
AIMultiple’s disaster simulation was controlled and reversible, not real malware. It encoded files into locked copies, overwrote database rows with a ransomware marker, and left the operating system running. That design isolated the recovery task: the products had to recover from a known-good image to separate infrastructure and prove the clean state returned.
Some readers may object that this is a narrow test. It is. It used two cloud servers, a small deterministic workload, a 75 GB disk, and a specific scoring rubric. It did not model Active Directory dependencies, multi-tier ERP stacks, multi-terabyte databases, identity compromise, or cloud account lockout.
But narrow tests can still be revealing when they measure the right boundary. Here the boundary was not backup creation. It was the transition from corrupted production to externally reachable recovery. Even with a small workload, the manual products exposed the same categories of work that become painful at scale.
The result is less a universal ranking than a useful classification. Acronis behaved like DRaaS. Comet behaved like a portable image-backup product. MSP360 behaved like a capable Windows image-recovery product with a major Linux limitation. Those are different tools, even if all three live in the backup aisle.

The Table Stakes Have Moved From Restore to Rehearsal​

For years, backup advice has centered on the restore test: do not trust a backup until you have restored it. That advice remains true, but it is now incomplete. A restore test that produces a disk image or boots a VM on a technician’s bench does not prove business recovery.
The next standard is rehearsal. Can the product run the failover non-disruptively? Can it validate boot? Can it check application ports? Can it sequence dependent systems? Can it assign networking predictably? Can it document RTO and RPO compliance without a spreadsheet archaeology project?
Acronis is closer to that model in this benchmark because runbooks and automated test failover make rehearsal part of the product. MSP360’s Hyper-V restore verification is a partial step in the same direction, but AIMultiple correctly limited its credit because it validates locally and depends on a hypervisor that may not exist on cloud test hosts. Comet’s dry-run restore simulation is useful for catching restore-plan mistakes, but it does not answer the boot-and-service question.
This is where IT buyers should resist feature-count shopping. A product that reaches six target types but requires manual assembly may be less useful during a real outage than a product that reaches fewer targets but can rehearse and execute the recovery path. The right answer depends on the environment, but the tradeoff must be explicit.
The benchmark also suggests a cultural shift. Backup administrators used to be judged on whether data could be recovered. Increasingly, they will be judged on whether a service can be resumed within an agreed window. That is a different job.

The Practical Read From a 73-Second Windows Failover​

The benchmark does not say every organization should buy Acronis, nor does it say Comet and MSP360 are poor backup tools. It says the products occupy different operational categories, and that the category matters more than the logo when the building is on fire.
  • Acronis was the only tested product with an orchestrated failover engine, and that is why it recovered the Windows workload in 73 seconds and Linux in roughly 108 seconds.
  • Comet and MSP360 restored clean data, but their recovery paths depended on manual provisioning, disk restore, boot handling, and network repair.
  • MSP360’s low cross-OS score was driven by Linux image-backup absence, while its Windows restore result was much closer to Comet’s manual recovery class.
  • Target breadth did not decide the benchmark, because Acronis and MSP360 both reached six of seven destination categories while delivering very different recovery experiences.
  • Automated test failover is not a compliance luxury; it caught a bad Acronis recovery point that reached a hung journal-recovery state.
  • Buyers should treat “DRaaS” claims skeptically unless the product includes a recovery server, a runbook, a test failover mechanism, and a credible failback path.
The larger conclusion is that disaster recovery has become an automation problem sitting on top of a backup problem. Clean data is necessary, but no longer sufficient. The next generation of credible DR products will be judged not by how many places they can export an image, but by how reliably they can turn a known-good recovery point into a live, verified service while everyone else is still opening the restore wizard.

References​

  1. Primary source: AIMultiple
    Published: 2026-07-03T18:40:12.149535
  2. Related coverage: acronis.com
  3. Related coverage: msp360.com
  4. Related coverage: help.msp360.com
  5. Related coverage: docs.cometbackup.com
  6. Related coverage: dl.acronis.com
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