Best AI Cloud Migration Tools 2026
Honest verdicts on AWS Application Migration Service, Zerto, Carbonite Migrate, Google Migrate for Compute Engine, Cloudamize, and Azure Migrate — the platforms IT teams and cloud architects actually use to move workloads to the cloud with minimal downtime. We examined replication mechanisms, OS support, and post-migration optimization depth.
Quick Summary
Tool Verdicts
AWS Application Migration Service
ShipBest lift-and-shift migration to AWS — zero-cost agent-based replication with near-zero RPO/RTO cutover and deep AWS integration for enterprises migrating to AWS
AWS Application Migration Service (MGN) is Amazon's first-party, free-at-source tool for migrating physical servers, virtual machines, and cloud instances to AWS using continuous block-level replication. MGN replaced CloudEndure Migration as AWS's primary migration service and is available at no additional cost beyond standard AWS compute charges during the staging period. The platform's AI-assisted features include automated server discovery and dependency mapping, AI-generated migration runbook recommendations based on discovered server profiles, and post-migration optimization suggestions aligned with AWS Well-Architected Framework principles. MGN's continuous replication minimizes cutover windows to minutes rather than hours — a critical capability for organizations migrating production workloads that cannot tolerate extended downtime. For enterprises committed to AWS as their primary cloud provider, MGN is the default starting point for lift-and-shift migration before re-platforming or re-architecting workloads.
Zero licensing cost — AWS MGN is free for the first 90 days per server (covering most migration projects), and the only costs are the staging replication instance and standard EC2 storage — dramatically lower TCO than third-party migration tools that charge $200–$500 per migrated server. Near-zero RPO/RTO cutover using continuous block-level replication means production servers can be migrated with 10–15 minute cutover windows rather than weekend maintenance downtime — enabling organizations to migrate hundreds of servers without extended business disruption. Native AWS integration means migrated instances automatically comply with AWS security groups, IAM roles, VPC configurations, and tagging policies — no manual post-migration configuration that third-party tools require when landing workloads in AWS.
AWS MGN is AWS-only — organizations migrating to Azure or GCP get zero benefit from MGN; Microsoft Azure Migrate and Google Migrate for Compute Engine are the native alternatives for those cloud targets. Application complexity is not MGN's strength — lift-and-shift of virtual machines is well-handled, but organizations that need to re-platform applications (move from Windows IIS to containers, refactor SQL Server to Aurora) or modernize during migration need AWS Modernization Program services or third-party tools beyond MGN's scope. Discovery and dependency mapping in MGN is functional but less mature than dedicated migration assessment tools like Cloudamize or Movere — organizations with 500+ server environments needing detailed application interdependency maps and TCO modeling before committing to a migration wave plan should run a discovery tool first.
- Automated server discovery and dependency mapping
- AI-generated migration runbook recommendations
- Post-migration optimization suggestions (Well-Architected)
- Continuous block-level replication with near-zero RPO
- Automated cutover testing and validation
- Migration wave planning and scheduling
Zerto
ShipBest continuous replication for hybrid cloud migration and disaster recovery — journal-based recovery with sub-5-second RPO for enterprises needing DR alongside migration
Zerto is a continuous data protection and cloud migration platform that uses journal-based replication to achieve sub-5-second RPO and near-zero RTO for both migration and disaster recovery workloads. Unlike point-in-time snapshot tools, Zerto maintains a continuous journal of writes at the hypervisor level, allowing organizations to recover to any point in time within the retention window — not just the last snapshot. This journal-based approach makes Zerto uniquely valuable for organizations that need DR capability as a permanent operational requirement, not just a migration accelerator. Zerto's migration workflow creates a replicated copy of production workloads in the cloud target (Azure, AWS, or VMware Cloud), enables non-disruptive testing of the cloud replica, and executes cutover with automated DNS/IP reconfiguration. The platform's AI analytics layer (Zerto Analytics) provides replication health monitoring, anomaly detection in replication lag patterns, and ransomware detection through abnormal write pattern identification.
Journal-based continuous replication with sub-5-second RPO is the industry-leading recovery point for migration with embedded DR — organizations that need ongoing disaster recovery after migration get a permanent production DR capability from the same tool used for the initial migration, avoiding a separate DR tool purchase. Non-disruptive failover testing lets IT teams test the migrated cloud workload in isolation before committing to cutover — running load tests, application validation, and user acceptance testing against the live-replicated cloud copy without impacting production. Multi-cloud and hybrid support (Azure, AWS, VMware Cloud on AWS, Google Cloud) makes Zerto flexible for organizations with heterogeneous cloud strategies or who need multi-site failover — a capability that hyperscaler-native tools like AWS MGN don't replicate across cloud providers.
Zerto's licensing model is more expensive than free-tier native cloud migration tools — enterprise licenses typically run $150–$300 per VM/year, which adds up quickly for large migration estates where AWS MGN or Azure Migrate would achieve comparable results at lower cost. Complexity for simple lift-and-shift — organizations doing straightforward VM migration to a single cloud provider with minimal DR requirements may find Zerto's journal-based replication architecture over-engineered compared to simpler agent-based tools. VMware-centric design — Zerto was built around VMware hypervisor-level replication, and organizations running non-VMware virtualization (Hyper-V at scale, KVM, Nutanix) may encounter integration limitations or require additional configuration compared to the VMware deployment path.
- Zerto Analytics replication health monitoring
- Anomaly detection in replication lag patterns
- Ransomware detection via write pattern analysis
- Journal-based continuous replication (sub-5s RPO)
- Automated cutover orchestration and IP reconfiguration
- Non-disruptive failover testing
Carbonite Migrate
ShipBest physical-to-cloud and cross-platform migration — specialized in P2V/P2C migrations, Windows/Linux workloads, and cross-hypervisor migrations with broad OS support
Carbonite Migrate (formerly DoubleTake) specializes in workload migrations that other tools handle poorly — physical-to-virtual (P2V), physical-to-cloud (P2C), cross-platform Linux migrations, and cross-hypervisor moves between VMware, Hyper-V, and cloud platforms. The platform's strength is its broad OS and platform compatibility matrix: it supports Windows Server 2003 through 2022, Linux distributions from RHEL 5 through current, and migration paths that include aging Windows Server versions that newer tools have deprecated. Carbonite Migrate uses file-level and block-level replication with an intelligent compression and deduplication layer that minimizes bandwidth consumption during migration over WAN connections — a meaningful advantage for organizations migrating from remote branch offices or geographically distributed data centers over constrained network links.
Physical-to-cloud migration for legacy Windows Server workloads (Server 2003, 2008) that AWS MGN and Azure Migrate have deprecated support for — organizations with aging infrastructure that cannot be easily re-platformed still need a migration path, and Carbonite Migrate is one of the few tools that handles legacy OS versions reliably. Cross-platform migration support enables moves that other tools can't — migrating a Linux workload from VMware to Hyper-V to GCP, or a Windows physical server directly to Azure, without intermediate VM conversion steps that increase migration complexity and error risk. WAN-optimized replication with deduplication and compression minimizes bandwidth consumption for organizations migrating over limited internet connections — remote offices, branches, and international locations where migration bandwidth is constrained.
Carbonite Migrate's UI and operational experience are less modern than AWS MGN or Zerto — the platform reflects its legacy DoubleTake heritage and requires more manual configuration than cloud-native migration tools. Limited post-migration optimization guidance — Carbonite Migrate gets workloads to the cloud destination, but it lacks the post-migration cost optimization, right-sizing recommendations, and Well-Architected alignment guidance that AWS MGN and Azure Migrate provide natively. Support and documentation quality concerns have appeared in enterprise customer reviews — verify current support SLA terms and evaluate proof-of-concept support responsiveness before committing for large migration programs.
- Intelligent compression and deduplication during replication
- Automated migration path recommendation by workload type
- Network bandwidth optimization for WAN migrations
- Cross-platform compatibility analysis
- Migration health monitoring and alerting
Google Migrate for Compute Engine
ShipBest VM migration to GCP — free agent-based migration for GCP-committed organizations with minimal disruption and native Google Cloud integration
Google Migrate for Compute Engine (formerly Velostrata) is Google's free, first-party tool for migrating virtual machines from on-premises VMware, AWS, and Azure into Google Compute Engine. Like AWS MGN for AWS, Google Migrate is the default starting point for organizations committed to GCP as their cloud destination. The platform uses lightweight migration agents installed on source VMs to stream workloads to GCP while the source systems remain operational, enabling cutover with minimal downtime. Google Migrate's AI-assisted features include automated migration assessment via Stratozone (Google's migration assessment tool), AI workload compatibility analysis, right-sizing recommendations for GCP instance types, and post-migration optimization suggestions aligned with Google Cloud Architecture best practices.
Zero additional licensing cost for GCP-committed organizations — Google Migrate for Compute Engine is free; cost is only standard GCP compute and storage during migration, making it the lowest-cost path for organizations already choosing GCP as their destination. Native GCP integration means migrated instances land with appropriate VPC configurations, IAM policies, and Cloud Operations (formerly Stackdriver) monitoring automatically configured — reducing post-migration operational setup compared to third-party tools that require manual GCP configuration post-migration. Stratozone integration (Google's free migration discovery tool) provides AI-powered workload assessment, dependency mapping, and GCP right-sizing recommendations before migration begins — giving IT teams the business case data to plan migration waves without paying for separate assessment tooling.
GCP-only value proposition — organizations migrating to AWS or Azure get no value from Google Migrate; choose AWS MGN or Azure Migrate for those destinations. Narrower source support compared to AWS MGN — Google Migrate supports VMware, AWS, and Azure sources, but physical-to-cloud and some hypervisor migrations require additional tooling (Carbonite Migrate, CloudEndure) or manual VM conversion steps. Assessment and discovery capability requires using Stratozone as a separate tool — the migration workflow requires more coordination between Stratozone assessment, Google Migrate execution, and manual GCP configuration steps compared to AWS MGN's more unified migration experience.
- Stratozone AI workload assessment and dependency mapping
- AI right-sizing recommendations for GCP instance types
- Post-migration optimization suggestions
- Automated migration testing and validation
- Minimal-downtime streaming migration
Cloudamize
Conditional ShipGood migration assessment and TCO modeling, but execution requires additional tools — valuable for the planning phase but not a standalone migration solution
Cloudamize is a cloud migration assessment platform that helps organizations plan migrations before executing them — analyzing on-premises infrastructure, modeling cloud costs across AWS, Azure, and GCP, identifying migration complexity by workload, and generating wave migration recommendations based on dependency analysis. The platform's AI capabilities focus on the assessment layer: ML-based workload classification (categorizing servers into migration strategies: lift-and-shift, re-platform, re-architect, retire), TCO modeling that accounts for on-demand vs. reserved vs. spot pricing across cloud providers, and right-sizing recommendations that identify over-provisioned servers. Cloudamize fills a genuine gap — the planning and business case phase of cloud migration — but organizations often assume it handles execution migration as well, which it does not.
Multi-cloud TCO modeling across AWS, Azure, and GCP in a single analysis enables vendor-neutral cost comparison — a critical input for organizations that haven't committed to a single cloud provider and need objective data to support the cloud selection decision. AI workload classification (categorizing each server's migration strategy) provides structured input for wave planning that manual dependency analysis spreadsheets can't match — organizations with 500+ server environments save weeks of planning time. Right-sizing analysis identifies over-provisioned servers that should be downsized in the cloud rather than lifted-and-shifted at their current size — potentially saving 20–40% on cloud infrastructure costs compared to a naive same-size migration.
Cloudamize does not execute migrations — after assessment and planning, organizations still need AWS MGN, Zerto, Carbonite Migrate, or another execution tool to actually move workloads; buyers who assume Cloudamize covers end-to-end migration will be surprised when they reach execution. Assessment accuracy depends on agent deployment quality — Cloudamize's analysis requires agents running on source servers for 2–4 weeks to capture representative utilization data; under-sampled environments produce inaccurate right-sizing recommendations. Pricing model and product positioning have shifted post-acquisition (by Carbonite, now OpenText) — verify current pricing, support SLAs, and roadmap direction before committing to a multi-month assessment engagement.
- ML workload classification by migration strategy
- Multi-cloud TCO modeling (AWS, Azure, GCP)
- AI right-sizing recommendations
- Application dependency mapping and wave planning
- Migration complexity scoring by workload
Azure Migrate
ShipBest VM migration to Azure — free assessment and migration for Azure-committed organizations with deep Azure integration and unified hub for all migration workloads
Azure Migrate is Microsoft's free, comprehensive migration platform for organizations moving workloads to Azure — covering server assessment, VM migration, database migration (SQL Server to Azure SQL), and web application migration to Azure App Service. The platform serves as a unified hub that integrates Microsoft's own migration tools (Azure Database Migration Service, Web App Migration Assistant) with partner tools (Zerto, Carbonite, Turbonomic) in a single project-based interface. Azure Migrate's AI-assisted assessment capabilities include automated dependency visualization, Azure right-sizing recommendations based on collected performance data, and cost estimation using Azure pricing APIs. For organizations with significant Microsoft infrastructure investments (Windows Server, SQL Server, .NET applications), Azure Migrate's migration pathway to Azure Virtual Machines, Azure SQL, and App Service is the most direct path to cloud optimization.
Free for Azure-committed organizations — Azure Migrate assessment and VM migration are included at no additional cost; organizations only pay for Azure compute and storage during migration, making it the lowest-cost path for enterprises already choosing Azure. SQL Server to Azure SQL migration pathway (via Azure Database Migration Service) is the most mature and supported database migration path in the market — Microsoft's investment in SQL Server cloud migration tooling is significantly deeper than AWS or GCP's equivalent SQL migration capabilities. Partner integration hub model (Zerto, Carbonite, Turbonomic available within Azure Migrate) means organizations with existing partner tool relationships can manage the full migration project from a single Azure console rather than running separate tool interfaces.
Azure-only value proposition — organizations migrating to AWS or GCP get no value from Azure Migrate; choose the appropriate native tool for those destinations. Non-Windows, non-Microsoft workloads (Red Hat Linux, Oracle databases, Java applications) receive less mature migration tooling compared to the Microsoft stack — Linux VM migration works but lacks the SQL Server and .NET-specific optimization guidance. Assessment depth requires 30+ days of performance data collection for accurate right-sizing recommendations — organizations under time pressure to produce a migration business case quickly may need to run a separate assessment tool in parallel while Azure Migrate collects data.
- AI-powered right-sizing recommendations for Azure VMs
- Automated dependency visualization and mapping
- Azure cost estimation and optimization analysis
- SQL Server to Azure SQL migration readiness assessment
- Performance-based sizing using collected utilization data
- Business case generation with savings calculations
Decision Matrix
| Criterion | AWS MGN | Zerto | Carbonite | GCP Migrate | Cloudamize | Azure Migrate |
|---|---|---|---|---|---|---|
| Cost (licensing) | ★★★★★ | ★★★☆☆ | ★★★☆☆ | ★★★★★ | ★★★☆☆ | ★★★★★ |
| AWS migration fit | ★★★★★ | ★★★★☆ | ★★★★☆ | ★☆☆☆☆ | ★★★☆☆ | ★☆☆☆☆ |
| Azure migration fit | ★☆☆☆☆ | ★★★★☆ | ★★★★☆ | ★☆☆☆☆ | ★★★☆☆ | ★★★★★ |
| GCP migration fit | ★☆☆☆☆ | ★★★☆☆ | ★★★☆☆ | ★★★★★ | ★★★☆☆ | ★☆☆☆☆ |
| Legacy OS support | ★★★☆☆ | ★★★★☆ | ★★★★★ | ★★★☆☆ | ★★★★☆ | ★★★☆☆ |
| Assessment depth | ★★★☆☆ | ★★★☆☆ | ★★★☆☆ | ★★★★☆ | ★★★★★ | ★★★★☆ |
| DR capability | ★★☆☆☆ | ★★★★★ | ★★★☆☆ | ★★☆☆☆ | ★☆☆☆☆ | ★★★☆☆ |
| Cutover downtime | ★★★★★ | ★★★★★ | ★★★★☆ | ★★★★☆ | N/A | ★★★★☆ |
Vendor Warnings
Buyer Checklist
- 1Determine your target cloud destination(s) — if uncommitted, run Cloudamize assessment before choosing a migration execution tool
- 2Inventory source infrastructure: OS versions, hypervisors, physical servers, database platforms — verify tool compatibility for each workload type
- 3Run a migration assessment (Cloudamize, Stratozone, or Azure Migrate assessment) to identify migration complexity, dependencies, and right-sizing opportunities before execution
- 4Model network bandwidth requirements for initial seeding across your migration estate — plan for bulk transfer appliances if bandwidth is constrained
- 5Define RTO/RPO requirements for each application tier — not all applications need sub-5-minute recovery; match DR tier to business criticality
- 6Identify legacy OS workloads (Windows 2003/2008, end-of-life Linux) that require specialized migration tooling
- 7Plan migration waves: start with non-critical workloads, build team expertise, then migrate production systems
- 8Document and test rollback procedures before every production migration cutover window
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