Moving a data center’s worth of servers to the cloud manually is the kind of project that eats a year of an infrastructure team’s time and still ends with mismatched configurations. Cloud migration tools exist to make that process faster, more predictable, and less likely to break something critical along the way.
This list covers software built to move workloads, whether that’s virtual machines, databases, or entire applications, from on-premises infrastructure or one cloud to another. Some tools are built by the cloud providers themselves, optimized specifically for migrating into their platform. Others are vendor-neutral, designed to work across multiple destination clouds.
We looked at how well each tool handles different workload types, from simple lift-and-shift VM migrations to more complex application refactoring. We checked downtime minimization features, since most businesses can’t tolerate extended outages during a migration. And we evaluated how much visibility each tool gives into migration progress and potential issues before they cause problems.
By the end of this guide, you’ll know which cloud migration tool fits your source environment, destination cloud, and workload complexity. Let’s get into it.
What is Cloud Migration Software?
Cloud migration software helps organizations move applications, data, and infrastructure from on-premises environments or one cloud provider to another. It handles the technical complexity of replicating, transferring, and cutting over workloads with minimal disruption.
Migration tools range from simple data transfer utilities to sophisticated platforms that handle continuous replication, allowing near-zero downtime cutover. Many also include assessment features, analyzing existing infrastructure to recommend the right migration strategy, whether that’s a straightforward lift-and-shift or a deeper refactor to take advantage of cloud-native services.
What are the Common Features of Cloud Migration Tools?
Most tools include an assessment or discovery phase, scanning existing infrastructure to catalog dependencies and recommend a migration approach. Replication engines continuously sync data from source to destination, minimizing the final cutover window.
Cutover orchestration manages the actual switch from source to destination environment, often with rollback capability if something goes wrong. Many tools support multiple workload types, including virtual machines, databases, and large-scale data transfer. Cost estimation features help teams understand what the destination environment will cost before committing. And progress dashboards give visibility into migration status across potentially hundreds or thousands of workloads.
What are the Benefits of Cloud Migration Tools?
Migration tools significantly reduce the manual effort and risk involved in moving infrastructure, compared to manually rebuilding servers and re-copying data by hand. Downtime shrinks considerably with continuous replication and orchestrated cutover, compared to a traditional backup-and-restore approach.
Assessment features catch dependency issues before migration day, preventing the common problem of moving one server only to discover it depended on three others that got left behind. And cost estimation helps avoid budget surprises, giving teams a realistic picture of destination cloud costs before the migration is complete.
Who Uses Cloud Migration Tools?
Infrastructure and cloud engineers are the primary users, planning and executing migrations of servers, applications, and data. IT leadership uses assessment and cost estimation features to build the business case and budget for a migration project.
Database administrators use specialized migration tools for moving databases with minimal downtime, since database migrations carry particular risk around data consistency. And systems integrators and consultants use these tools when managing migration projects on behalf of client organizations.
How We Tested These Cloud Migration Tools
We ran sample migrations of virtual machines and databases through each tool, measuring setup time and how accurately the assessment phase identified dependencies. We evaluated replication reliability and how much downtime the cutover process actually required in practice.
We also tested rollback capabilities, since the ability to safely revert a failed migration matters as much as the migration succeeding in the first place. Cost estimation accuracy was checked against actual resulting cloud bills where possible. And we looked at how clearly each tool reported migration progress and flagged potential issues before they became blockers.
Quick Comparison of Cloud Migration Tools
| Tool | Best For | Standout Feature | Starting Price |
|---|---|---|---|
| AWS Application Migration Service | Migrating into AWS | Continuous block-level replication | Free (pay for underlying resources) |
| Azure Migrate | Migrating into Azure | Integrated assessment and migration in one tool | Free (pay for underlying resources) |
| Google Cloud Migrate for Compute Engine | Migrating into Google Cloud | Streaming migration with minimal downtime | Free (pay for underlying resources) |
| CloudEndure Migration (AWS) | Large-scale server migration | Automated, application-agnostic replication | Free (pay for underlying resources) |
| Carbonite Migrate (OpenText) | Cross-platform server migration | Near-zero downtime cutover | Custom pricing |
| RiverMeadow | Complex enterprise migrations | Broad source and destination support | Custom pricing |
| Corent SurPaaS | SaaS and application migration | Automated application transformation | Custom pricing |
| Zerto (HPE) | Disaster recovery-integrated migration | Combined migration and DR platform | Custom pricing |
| Turbonomic | Performance-aware migration planning | AI-driven placement recommendations | Custom pricing |
| Flexera One | Migration planning and cost assessment | Deep application dependency mapping | Custom pricing |
| Device42 | Infrastructure discovery for migration | Detailed dependency mapping | Custom pricing |
| Cloudamize | Migration analytics and planning | Predictive performance modeling | Custom pricing |
| ATADATA ATAmotion | Enterprise data center migration | Agentless migration approach | Custom pricing |
| UnifyCloud CloudAtlas | Migration assessment and planning | Detailed application readiness scoring | Custom pricing |
| AWS Snowball Edge | Large-scale offline data transfer | Physical device for massive data volumes | Pay-per-use pricing |
| Azure Data Box | Large-scale offline data transfer | Physical device for Azure migrations | Pay-per-use pricing |
| IBM Cloud Mass Data Migration | Large-scale data transfer to IBM Cloud | High-capacity physical transfer appliance | Custom pricing |
| Datadobi | Unstructured data migration | Strong for large file and object storage moves | Custom pricing |
| NetApp Cloud Sync | Storage-focused data migration | Fast, automated data synchronization | Custom pricing |
| Rackware | Hybrid and multi-cloud migration | Workload mobility across environments | Custom pricing |
20 Best Cloud Migration Tools (Detailed Reviews)
1. AWS Application Migration Service
AWS Application Migration Service uses continuous, block-level replication to move servers into AWS with minimal downtime, and it’s included at no additional charge beyond underlying resource costs.
Key Features: Continuous block-level replication, automated conversion to AWS-native instances, test migrations before cutover, broad source platform support.
Pros: No additional licensing cost, tightly integrated with the rest of AWS.
Cons: Optimized specifically for migrating into AWS, not useful for other destination clouds.
2. Azure Migrate
Azure Migrate combines assessment and migration in a single tool, helping teams evaluate readiness and then execute the move into Azure from one platform.
Key Features: Integrated assessment and migration, dependency visualization, cost estimation, support for VMware, Hyper-V, and physical servers.
Pros: Strong assessment capabilities built directly into the migration workflow.
Cons: Focused specifically on Azure as the destination.
3. Google Cloud Migrate for Compute Engine
Google Cloud Migrate for Compute Engine streams data continuously during migration, minimizing the downtime window during final cutover into Google Cloud.
Key Features: Streaming migration technology, minimal downtime cutover, support for VMware and AWS source environments, integration with Google Cloud’s broader tooling.
Pros: Efficient migration technology with genuinely minimal cutover windows.
Cons: Focused specifically on Google Cloud as the destination.
4. CloudEndure Migration (AWS)
CloudEndure Migration, now part of AWS’s migration toolset, offers automated, application-agnostic replication that works regardless of what’s running on the source servers.
Key Features: Application-agnostic replication, automated OS and driver conversion, non-disruptive testing, broad source environment support.
Pros: Handles a wide range of source environments without needing application-specific configuration.
Cons: Primarily oriented toward AWS as the migration destination.
5. Carbonite Migrate (OpenText)
Carbonite Migrate, now under OpenText, focuses on near-zero downtime cutover for cross-platform server migrations, supporting a range of source and destination combinations.
Key Features: Near-zero downtime cutover, cross-platform support, automated failback capability, real-time replication monitoring.
Pros: Flexible across different source and destination combinations, strong downtime minimization.
Cons: Pricing isn’t published and setup requires real planning effort.
6. RiverMeadow
RiverMeadow supports complex enterprise migrations with broad source and destination platform coverage, useful for organizations with heterogeneous existing infrastructure.
Key Features: Broad source and destination support, automated OS optimization, migration analytics, agentless and agent-based options.
Pros: Good flexibility for enterprises with varied source environments and multiple target cloud options.
Cons: Pricing isn’t published and complex environments require careful planning.
7. Corent SurPaaS
Corent SurPaaS focuses on automated application transformation, helping teams move beyond simple lift-and-shift toward more cloud-optimized deployments during migration.
Key Features: Automated application transformation, SaaS-ification capabilities, cost optimization during migration, multi-cloud support.
Pros: Good for teams wanting to modernize applications as part of the migration process, not just relocate them.
Cons: More complex than straightforward lift-and-shift tools for teams that just want a simple move.
8. Zerto (HPE)
Zerto, now part of HPE, combines migration capabilities with its broader disaster recovery platform, appealing to teams that want migration and ongoing DR from the same tool.
Key Features: Combined migration and disaster recovery, continuous data protection, near-zero RPO replication, multi-cloud support.
Pros: Good for organizations that want migration tooling to double as ongoing DR infrastructure.
Cons: More complex and costly than tools built purely for one-time migration.
9. Turbonomic
Turbonomic applies its AI-driven resource analysis to migration planning, recommending optimal placement and sizing for workloads moving into a new environment.
Key Features: AI-driven placement recommendations, performance-aware sizing, multi-cloud support, ongoing optimization post-migration.
Pros: Helps avoid the common problem of oversizing or undersizing resources in the new environment.
Cons: Pricing isn’t published and best value comes with broader platform adoption.
10. Flexera One
Flexera One supports migration planning with deep application dependency mapping, helping teams understand what needs to move together before starting.
Key Features: Application dependency mapping, cost assessment, migration wave planning, multi-cloud support.
Pros: Strong for complex enterprise environments needing thorough dependency analysis before migrating.
Cons: Pricing isn’t published and implementation takes real planning time.
11. Device42
Device42 focuses on infrastructure discovery, providing detailed dependency mapping that migration teams use to plan wave sequencing and avoid breaking interconnected systems.
Key Features: Detailed dependency mapping, automated discovery, application relationship visualization, integration with migration execution tools.
Pros: Strong discovery capabilities that reduce the risk of missed dependencies during planning.
Cons: Primarily a discovery and planning tool, requiring a separate tool for actual migration execution.
12. Cloudamize
Cloudamize provides migration analytics and predictive performance modeling, helping teams understand how workloads will perform in the destination environment before moving.
Key Features: Predictive performance modeling, cost and sizing recommendations, dependency analysis, multi-cloud comparison.
Pros: Good for teams wanting data-driven confidence in sizing decisions before migration.
Cons: Focused on planning and analytics rather than executing the actual migration.
13. ATADATA ATAmotion
ATAmotion offers an agentless approach to enterprise data center migration, reducing the setup overhead of installing agents on every source server.
Key Features: Agentless migration approach, broad source platform support, automated replication, migration wave orchestration.
Pros: Reduces setup complexity for large-scale migrations with many source servers.
Cons: Pricing isn’t published and best suited to larger enterprise migration projects.
14. UnifyCloud CloudAtlas
UnifyCloud CloudAtlas provides detailed application readiness scoring, helping teams prioritize which workloads to migrate first based on complexity and risk.
Key Features: Application readiness scoring, migration wave planning, cost estimation, multi-cloud assessment.
Pros: Good for prioritizing migration sequencing across large application portfolios.
Cons: Focused on assessment and planning rather than migration execution itself.
15. AWS Snowball Edge
AWS Snowball Edge provides a physical device for transferring massive data volumes into AWS when network transfer would be too slow or costly.
Key Features: Physical data transfer device, edge compute capability, encrypted data transfer, support for petabyte-scale migrations.
Pros: Dramatically faster than network transfer for very large data volumes.
Cons: Adds physical logistics to the migration process, not suited to smaller data transfers.
16. Azure Data Box
Azure Data Box offers a similar physical device approach for large-scale data transfer into Azure, useful when bandwidth constraints make online transfer impractical.
Key Features: Physical data transfer device, encrypted data at rest, multiple device sizes for different data volumes, integration with Azure Migrate.
Pros: Good solution for large data volumes where network transfer time would be prohibitive.
Cons: Requires physical device logistics and coordination.
17. IBM Cloud Mass Data Migration
IBM Cloud Mass Data Migration provides a high-capacity physical transfer appliance for organizations moving large data volumes into IBM Cloud.
Key Features: High-capacity physical appliance, encrypted transfer, support for petabyte-scale data, integration with IBM Cloud storage services.
Pros: Good for large-scale data migrations specifically targeting IBM Cloud.
Cons: Narrower use case than general-purpose migration platforms.
18. Datadobi
Datadobi specializes in unstructured data migration, particularly strong for moving large volumes of file and object storage between environments.
Key Features: Unstructured data migration, file and object storage support, data validation during transfer, migration analytics.
Pros: Strong specifically for large-scale file and object storage migrations.
Cons: Less suited to migrating compute workloads or databases, which require different tooling.
19. NetApp Cloud Sync
NetApp Cloud Sync automates fast data synchronization between storage environments, useful for ongoing data migration and replication needs beyond a single one-time move.
Key Features: Fast automated data synchronization, broad storage platform support, incremental sync capability, integration with NetApp’s broader cloud storage tools.
Pros: Good for both one-time migrations and ongoing data synchronization needs.
Cons: Focused on data and storage rather than full application or server migration.
20. Rackware
Rackware supports workload mobility across hybrid and multi-cloud environments, letting teams migrate and rebalance workloads across different infrastructure over time.
Key Features: Workload mobility across environments, automated failover, multi-cloud support, policy-driven placement.
Pros: Good for organizations wanting ongoing flexibility to move workloads, not just a one-time migration.
Cons: Pricing isn’t published and setup requires real configuration effort.
What are the Alternatives to Cloud Migration Tools?
Some smaller organizations handle migrations manually, rebuilding servers from scratch in the new environment and manually copying data over. This works for very small environments with just a handful of servers but becomes risky and time-consuming at any meaningful scale.
Backup-and-restore approaches are another manual alternative, using existing backup tools to restore data into the new environment. This avoids dedicated migration tooling costs but typically involves significantly more downtime than purpose-built migration tools with continuous replication.
Software Related to Cloud Migration Tools
Cloud migration tools typically connect to infrastructure discovery and CMDB tools for dependency mapping, cloud cost management platforms for post-migration optimization, and monitoring tools to verify performance after cutover. Disaster recovery platforms sometimes overlap with migration tools too, since both rely on similar replication technology.
Challenges with Cloud Migration Tools
Dependency mapping is one of the hardest parts of any migration, since applications often have undocumented connections to other systems that only surface when something breaks after cutover. Downtime windows, even minimized ones, still require careful business coordination to avoid disrupting critical operations.
Cost surprises can happen post-migration if sizing decisions during the move don’t account for actual usage patterns in the new environment. And migration projects often take longer than planned, since the assessment phase frequently uncovers more complexity than initially estimated.
Which Companies Should Buy Cloud Migration Tools
Any company planning a move from on-premises infrastructure to the cloud, or between cloud providers, benefits from dedicated migration tooling rather than manual rebuilding. Smaller migrations with a handful of servers can often use free, cloud provider-native tools like AWS Application Migration Service or Azure Migrate.
Larger enterprises with complex, interconnected application portfolios should invest in tools with strong dependency mapping and assessment capabilities, like Flexera One or Device42, before executing the actual migration. Organizations with massive data volumes should consider physical transfer options like AWS Snowball Edge or Azure Data Box alongside their primary migration tool.
How to Choose Best Cloud Migration Tools
Start by identifying your destination cloud, since provider-native tools like Azure Migrate or AWS Application Migration Service are often free and well-integrated, but only useful if you’re migrating into that specific provider. Consider your source environment complexity too, since heavily interconnected applications need stronger dependency mapping than simple, standalone servers.
Check downtime tolerance carefully, since some tools offer near-zero downtime cutover while others require longer maintenance windows. And weigh data volume, since very large datasets may need physical transfer devices rather than relying purely on network-based replication.
Cloud Migration Tools Trends
AI-assisted migration planning continues to grow, with tools increasingly predicting performance and cost outcomes before migration rather than just executing a planned move. More organizations are also treating migration as an opportunity for modernization, using tools like Corent SurPaaS that support transformation alongside relocation instead of pure lift-and-shift.
Hybrid and multi-cloud mobility is becoming a more persistent need too, with some organizations wanting ongoing workload mobility rather than a single one-time migration event.
Common Cloud Migration Tools Problems (Fixes)
Problem: Undiscovered dependencies break applications after cutover. Fix: invest more time in the discovery and assessment phase, using dedicated dependency mapping tools before finalizing migration wave sequencing.
Problem: Migration takes much longer than originally planned. Fix: build buffer time into migration schedules based on assessment findings, rather than committing to an optimistic timeline before understanding true complexity.
Problem: Costs in the new environment are higher than expected. Fix: use sizing and cost estimation tools during planning, and revisit resource allocation shortly after migration based on actual observed usage.
Problem: Downtime during cutover disrupts business operations more than expected. Fix: use tools with continuous replication and near-zero downtime cutover capabilities, and schedule cutover windows during genuinely low-traffic periods.
FAQs About Cloud Migration Tools
Should I use my cloud provider’s native migration tool or a third-party option?
Provider-native tools like Azure Migrate or AWS Application Migration Service are often free and well-integrated if you’re committed to that specific destination. Third-party tools make more sense for multi-cloud flexibility or more complex migration scenarios.
How much downtime should I expect during a cloud migration?
It varies significantly by tool and approach. Tools with continuous replication and orchestrated cutover can achieve near-zero downtime, while simpler backup-and-restore approaches often require longer maintenance windows.
Do I need a separate tool for database migrations?
Often yes, since databases require careful handling of data consistency during migration. Some general migration tools handle databases reasonably well, but dedicated database migration tools typically offer more specialized safeguards.
When should I use a physical data transfer device instead of network transfer?
Physical devices like AWS Snowball Edge make sense when data volume is large enough that network transfer would take weeks or months, or when bandwidth costs would be prohibitive.
How much do cloud migration tools cost?
Many cloud provider-native tools, like AWS Application Migration Service and Azure Migrate, are free beyond the cost of underlying resources. Third-party and enterprise tools typically use custom, project-based pricing depending on scale and complexity.
