Best Cloud Migration Tools in 2026: 9 Tools Compared

AWS Application Migration Service, often called MGN, replicates source servers to AWS with continuous block-level updates. That approach keeps the target close to the source until cutover, which reduces downtime. You can launch test instances, check applications, and then cut over in waves rather than all at once.

The tool targets AWS, so it is not a multi-cloud migration tool. Networking, security groups, and target sizing still need planning, and the free replication period per server is limited. For teams moving to AWS with minimal changes, MGN is the most direct and well-supported route.

Azure Migrate covers the full journey to Azure, from discovery through assessment to migration. It maps servers and dependencies, estimates Azure costs, and checks readiness before you move. Server, database, web app, and data migration tools sit under the same hub, which helps teams track a large estate in one place.

Setup takes care, especially for discovery across many sites. The tool targets Azure, so multi-cloud teams need a separate approach for other destinations. For Microsoft-centered estates moving to Azure, Azure Migrate is the natural starting point and the best platform for cloud migration in that ecosystem.

Google Cloud Migration Center helps teams understand what they run today and what it would cost to run on Google Cloud. Discovery collects server, database, and performance data, and the platform groups assets into applications for planning. That clarity helps leaders decide which workloads move first and which need changes.

Execution uses companion tools such as Migrate to Virtual Machines for server moves, so Migration Center is best seen as the planning hub rather than a single copy tool. For teams moving to Google Cloud, especially with data and analytics workloads in mind, it provides a strong and structured starting point.

Carbonite Migrate replicates servers continuously to a target, which keeps downtime short at cutover. It supports physical and virtual sources and a range of targets, making it useful for data center moves, cloud moves, and consolidation projects. The replication model suits workloads that change often and cannot tolerate a long freeze.

Pricing is quote-based, so small teams should confirm costs early. Testing remains essential, since replication alone does not prove an application will run well on the target. For teams that value low downtime and flexible sources, Carbonite Migrate is a dependable independent option.

Cloudamize focuses on the planning phase that many teams rush. Automated discovery maps applications and dependencies, and cost models compare running the same workload across cloud options. That evidence helps teams avoid moving a workload to the wrong cloud or the wrong instance size.

Cloudamize is strongest as an assessment and planning tool, and large executions may still need partner help or native tools. For teams that want an independent view before committing to a cloud, it offers clarity that a single-cloud tool cannot provide on its own.

RiverMeadow provides automated migration as a service, moving servers and workloads to cloud targets with less manual effort. Multi-cloud support helps teams that move between clouds or consolidate onto one platform. Operating system modernization options also help when a source OS needs updating during the move.

Pricing and scoping need discussion before a project starts, and complex applications still need testing on the target. For teams that want automation without building migration expertise in-house, RiverMeadow is a practical choice among the best cloud migration services.

VMware HCX helps VMware customers move workloads between data centers and clouds without rebuilding them. Live migration and network extension reduce downtime and keep IP addresses stable during the move, which matters for applications with hard-coded dependencies. Bulk migration tools help large VMware estates move in waves.

HCX is VMware-focused, so non-VMware estates gain less from it. Licensing and site pairing also need planning. For a VMware estate moving to a VMware-compatible cloud or a new data center, HCX is often the smoothest path available.

AWS DataSync moves files and object data to AWS storage services with managed scheduling, filtering, and validation. It suits data-heavy moves where file shares, NFS, SMB, or object storage must land in AWS before applications cut over. Managed transfer avoids building custom scripts for large data sets.

DataSync does not migrate servers or applications on its own, so pair it with MGN or another server tool for a full move. Transfer costs and target storage costs also need budgeting. For the data part of an AWS migration, DataSync is a clear and reliable tool.

Azure Data Box solves a simple problem: some data sets are too large to move over the network in a reasonable time. Microsoft ships a rugged storage device, you copy data to it, return it, and the data uploads to Azure. Encryption and tracking protect the shipment, and the model works well for initial bulk loads.

Shipping adds days to the plan, and the device model suits one-time bulk moves rather than continuous sync. Small data sets should use online transfer instead. For a large initial move to Azure, Data Box is often the fastest practical option despite the shipping step.