Cloud migration solutions, by workload type and migration strategy
Cloud migration solutions help organizations move workloads, data, and applications from on-premises infrastructure or between cloud providers. This page helps buyers compare tools on workload assessment, migration automation, cutover management, and the post-migration optimization that determines actual ROI.
Compare the tools belowHead-to-head comparisons
Cloud migration solutions comparison at a glance
Every tool name links to its full write-up.
| Tool | Published price | Deployment | Free trial | Best for | Pricing detail |
|---|---|---|---|---|---|
| AWS Migration Hub | quote only | Not stated | No | Not stated | See pricing |
| Azure Migrate | quote only | Not stated | No | Not stated | See pricing |
| Google Cloud Migrate | quote only | Not stated | No | Not stated | See pricing |
| CloudEndure | quote only | Not stated | No | Not stated | See pricing |
| Carbonite Migrate | quote only | Not stated | No | Not stated | See pricing |
| Zerto | quote only | Not stated | No | Not stated | See pricing |
Showing 6 of 6. Published price is the figure the vendor states; “quote only” means it states none.
Scoring these vendors side by side takes a weighted sheet, not a notepad. The vendor evaluation scorecard weights price, support, lead time and reliability, then rates each shortlisted vendor 1 to 5 against the same criteria.
Cloud migration solutions software explained
Cloud migration solutions are tools and platforms that help organizations move their workloads — applications, databases, servers, storage, and networking configurations — from on-premises data centers (or from one cloud provider) to cloud infrastructure. The category spans the entire migration lifecycle: discovery and assessment (what do you have?), planning and dependency mapping (what connects to what?), data transfer and workload replication (move the bits), cutover and validation (switch traffic and verify), and post-migration optimization (right-size and tune).
Despite over a decade of cloud adoption, cloud migration remains genuinely difficult. The tooling has matured significantly — AWS, Azure, and Google each offer comprehensive migration tool suites, and third-party platforms like Carbonite Migrate, Zerto, and CloudEndure (now AWS Application Migration Service) handle much of the mechanical heavy lifting. But the hard part of migration was never the tool; it was the organizational complexity. Undocumented dependencies between applications, legacy systems that were never designed for cloud architectures, data gravity that makes moving petabytes economically painful, and compliance requirements that restrict where data can reside.
For IT leaders in 2026, the migration landscape has shifted from 'should we move to cloud?' to 'how do we finish moving to cloud?' Most organizations are partway through their cloud journey — the easy workloads migrated years ago, and what remains are the complex, mission-critical systems that resist simple lift-and-shift. The tools covered on this page address this reality: they are designed for organizations that have migrated the easy stuff and now face the hard middle.
Curated list of best cloud migration solutions
Full write-ups for each tool: pricing, deployment, strengths and limitations.
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Central dashboard for tracking application migrations across multiple AWS and partner migration tools. Compare it on usage-based pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- AWS Migration Hub prices usage-based.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around usage-based pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge AWS Migration Hub on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Usage-based pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Unified migration platform for discovering, assessing, and migrating on-premises servers, databases, and apps to Azure. Compare it on freemium pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- Azure Migrate prices freemium.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around freemium pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge Azure Migrate on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Freemium pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Migration tools for moving VMs, databases, and applications to Google Cloud with minimal downtime. Compare it on usage-based pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- Google Cloud Migrate prices usage-based.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around usage-based pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge Google Cloud Migrate on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Usage-based pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Block-level replication tool for migrating and recovering servers to AWS with continuous data sync. Compare it on freemium pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- CloudEndure prices freemium.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around freemium pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge CloudEndure on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Freemium pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Server migration tool for moving physical, virtual, and cloud workloads with near-zero downtime. Compare it on subscription pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- Carbonite Migrate prices subscription.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around subscription pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge Carbonite Migrate on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Subscription pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
- Price
- Quote only
- Deployment
- Not specified
- Free trial
- No
Disaster recovery and cloud migration platform with continuous data protection and orchestration. Compare it on subscription pricing. No free trial is listed, so expect a sales-led evaluation. If fit is the open question, compare it against the alternatives.
- Best for
- Zerto prices subscription.
- Main tradeoff
- No free trial listed — evaluation requires vendor involvement.
- Buying motion
- Expect a vendor-led evaluation around subscription pricing.
- Not ideal for
- Not a fit if the team needs hands-on testing before vendor conversations.
“Teams usually judge Zerto on how quickly it is useful after rollout, how much tuning it needs, and how much admin work it adds.”
Strengths
- Subscription pricing fits scoped evaluations
- Strong fit for evaluation-stage research
- Useful for structured evaluation comparison work
Watch outs
- No clear self-serve trial path listed
- Platform coverage needs closer validation
- Rollout details need extra validation early
How to shortlist cloud migration solutions software
Teams usually compare cloud migration solutions vendors on deployment fit, automation depth, reporting quality, and operational overhead. In this directory, buyers can narrow the field using pricing, deployment model, operating system coverage, and trial availability before moving into side-by-side comparisons. Read how we review software and our ranking methodology.
How we selected these tools
We included the tools that hold up best on implementation effort, pricing structure, trial access, platform coverage and published reviews. See our pricing transparency policy for how we verify vendor pricing claims.
When to evaluate cloud migration solutions
Cloud migration solutions matter most for IT and infrastructure teams moving substantial on-premises or colocation workloads to public cloud where discovery, planning, and automated migration reduce risk and downtime.
The category becomes less relevant for cloud-native organizations that are replatforming between clouds, where the migration is more about infrastructure-as-code refactoring than server lifting.
Common evaluation mistakes
Buyers often focus on migration speed without testing the discovery and dependency-mapping accuracy, which determines whether the migration plan actually works or breaks applications.
Another common mistake is treating migration as a one-time tool purchase when it is a multi-month project that requires planning, testing, and optimization long after the initial lift-and-shift.
Building your shortlist
A vendor list survives procurement when the team can tie the migration platform to reduced downtime, faster time-to-cloud, and post-migration cost optimization.
The strongest shortlist separates cloud-native migration services from third-party platforms early, since the integration depth and vendor-lock-in trade-offs are different buying decisions.
Types of cloud migration solutions tools
Cloud-provider migration services
Best for teams migrating to a specific cloud (AWS, Azure, or GCP) that want native tooling integrated with the target platform.
Third-party migration platforms
Stronger fit for multi-cloud or cloud-agnostic migrations where the team needs flexibility across target environments.
Database-specific migration tools
More relevant when the migration is primarily about moving databases with schema conversion, replication, and minimal application changes.
Cloud migration solutions software features that matter
- Discovery and dependency mapping of on-premises workloads
- Automated lift-and-shift migration with minimal downtime
- Database migration with schema conversion and continuous replication
- Application refactoring guidance and cloud-readiness assessment
- Cost estimation and right-sizing recommendations for target cloud infrastructure
- Post-migration validation, testing, and rollback capabilities
Cloud migration solutions software pricing
Cloud-provider migration tools like AWS Migration Hub and Azure Migrate are often free for the tooling itself, but the cloud infrastructure costs during migration add up quickly.
Third-party platforms like CloudEndure, Carbonite, or Zerto price per server or per VM migrated, with enterprise deals for large-scale migrations.
Teams should budget for the human cost — migration planning, testing, cutover weekends, and post-migration optimization usually exceed tool licensing by a large margin.
When this category is overkill
A full migration platform is overkill when the team is moving a handful of VMs or containers that can be recreated in the cloud faster than they can be migrated.
It is also unnecessary when the workloads are already containerized and the migration is really a Kubernetes deployment rather than a server migration.
Other options and adjacent paths
Manual re-deployment for small environments where recreating infrastructure-as-code in the cloud is faster than migrating existing servers.
Cloud-provider free-tier migration tools for teams committed to a single cloud that do not need third-party platform features.
Managed migration services from cloud providers or consultancies for teams that lack internal migration expertise.
What to look for, and what to ignore
Must have
- Automated discovery and inventory of on-premises assets
- You cannot migrate what you do not know exists. Automated discovery replaces the months-long manual inventory process that delays most migration programs.
- Application dependency mapping
- Migrating an application without its dependencies causes immediate outages. Dependency mapping is essential for planning migration waves and cutover sequences.
- Cloud cost estimation and right-sizing recommendations
- Replicating on-premises server specs in the cloud wastes 30-50% of your cloud budget. Right-sizing based on actual utilization data prevents day-one cost overruns.
- Continuous data replication for near-zero-downtime cutover
- Mission-critical workloads cannot tolerate extended downtime windows. Continuous replication keeps source and target in sync, reducing cutover to a brief DNS switch.
- Support for heterogeneous source environments (VMware, Hyper-V, bare metal, other clouds)
- Most data centers are not homogeneous. A tool that only handles VMware misses the bare-metal servers, Hyper-V clusters, and physical database servers that also need to move.
- Multi-cloud target support (AWS, Azure, GCP)
- Migration plans change. A tool locked to one cloud provider limits your flexibility. Even if you are targeting one cloud today, the ability to shift targets is valuable.
- Migration wave planning and tracking
- Large migrations happen in waves over weeks or months. The ability to define, schedule, and track migration waves with dependency-aware ordering is essential for program management.
- Post-migration validation and testing
- Declaring a migration complete without automated validation is asking for post-cutover incidents. The tool should verify connectivity, application health, and data integrity automatically.
Worth having
- Database schema conversion (e.g., Oracle to PostgreSQL)
- Useful for replatforming database engines during migration. AWS SCT and Azure DMA handle this well, but it is only needed for teams changing database engines, not all migrations.
- Application modernization recommendations
- Some assessment tools recommend which applications should be refactored or containerized rather than lifted and shifted. Helpful for planning but not essential for the migration itself.
- Compliance mapping for target cloud environment
- Tools that map your regulatory requirements to the target cloud's compliance certifications (HIPAA, PCI-DSS, FedRAMP) save time during security review but do not replace a proper compliance assessment.
- Offline data transfer device support (Snowball, Data Box)
- Necessary for multi-terabyte datasets where network transfer would take weeks. Not needed for organizations with fast WAN links or smaller data volumes.
- Integration with IT service management (ServiceNow, Jira)
- Connecting migration tasks to your ITSM platform helps coordinate change management. Valuable for enterprise programs but overhead for smaller migrations.
Overrated
- AI-powered migration recommendations
- Every cloud provider and third-party vendor now markets AI that recommends migration strategies per application. In practice, these recommendations are based on simple heuristics (CPU utilization patterns, OS type, database engine) that any experienced cloud architect could produce in an afternoon. The AI label adds marketing value, not migration value. Your migration strategy decisions should be made by humans who understand your business context, not by algorithms that see only resource metrics.
- One-click migration
- Vendors love to demo a 'one-click migration' that moves a server from on-prem to cloud in minutes. The demo hides the reality: the server moves, but its application configuration, network connectivity, DNS, SSL certificates, load balancer rules, and monitoring integrations do not. A one-click server copy is useful as a starting point, but treating it as a complete migration is how organizations end up with cloud servers that do not actually work.
- Comprehensive cloud cost optimization bundled with migration
- Some migration platforms bundle cloud cost optimization features (FinOps, reserved instance recommendations, right-sizing). These are useful post-migration but have nothing to do with migration itself. Buy migration tools for migration and FinOps tools for cost optimization — bundling them creates a tool that does both poorly.
- Migration-as-a-Service from the tool vendor
- Several migration tool vendors also sell professional services to perform the migration using their tool. This creates a conflict of interest: the tool's assessment may conveniently recommend the most complex (and expensive) migration approach that requires the vendor's services. Get an independent assessment before committing to a vendor's tool-plus-services bundle.
What Cloud Migration Solutions actually costs
Here is the counterintuitive truth about cloud migration pricing: the migration tools themselves are often free or low-cost. AWS, Azure, and GCP all provide free migration tools (Application Migration Service, Azure Migrate, Google Cloud Migrate) that handle basic lift-and-shift workloads. The real cost of cloud migration is everything else: the professional services to plan and execute, the cloud infrastructure running in parallel during the transition, the staff time for testing and validation, and the ongoing cloud spend post-migration.
| Pricing model | Typical range | Examples |
|---|---|---|
| Cloud-provider-native tools (free with cloud usage) | Free for the tools; you pay for the target cloud infrastructure | AWS Application Migration Service (formerly CloudEndure) is free for 90 days per source server. Azure Migrate is free for assessment and server migration. Google Cloud Migrate for Compute Engine is free with a Google Cloud account. These are loss leaders designed to pull workloads onto the provider's platform. |
| Third-party migration platform subscription | $5,000–$50,000+ per year depending on workload count | Carbonite Migrate (formerly DoubleTake) starts around $1,000-$2,000 per server for perpetual licenses. Zerto (HPE) prices per VM at approximately $5-$10/VM/month. RiverMeadow Cloud Migration SaaS is consumption-based. Turbonomic (IBM) enterprise licensing starts at $25,000+/year. |
| Assessment and planning tools (often free or low-cost) | Free to $10,000/year | AWS Migration Hub is free. Azure Migrate assessment is free. Flexera One (formerly Flexera Cloud Management) starts around $10,000/year for migration planning. Device42 discovery and dependency mapping starts around $5,000/year. |
| Professional services (the real cost) | $50,000–$5,000,000+ depending on migration scope | Cloud migration consulting from systems integrators (Accenture, Deloitte, Cognizant) typically runs $150-$300/hour. A mid-market migration of 100 servers with 10 applications costs $100,000-$500,000 in professional services. Enterprise migrations (500+ servers) routinely exceed $1,000,000 in services alone. AWS, Azure, and GCP all offer migration competency partner programs with pre-vetted consulting firms. |
Costs that are easy to miss
- Parallel infrastructure costs during migration: running both on-premises and cloud environments simultaneously during the 3-12 month migration period effectively doubles your infrastructure bill
- Data egress charges: moving data out of one cloud to another incurs egress fees that can reach $0.08-$0.12/GB. A 50TB database migration between clouds costs $4,000-$6,000 in egress alone
- Staff overtime and productivity loss: migration testing, validation, and cutover events typically happen during off-hours. Budget 20-30% staff overtime during active migration waves
- Application remediation: applications that fail testing after migration require code changes, configuration updates, or architecture modifications. Budget 15-25% of migration effort for remediation
- Post-migration optimization: newly migrated workloads are almost always over-provisioned. Budget for a right-sizing exercise 30-60 days post-migration to avoid ongoing cloud cost waste
- Training: teams need training on cloud-native operations, monitoring, and incident response. Budget $2,000-$5,000 per operations staff member for cloud certification and training
For a mid-market migration of 50-200 servers to a single cloud provider, budget $150,000-$500,000 total (tools + services + parallel infrastructure + staff time). The migration tools themselves may be free (cloud-native) or $10,000-$50,000 (third-party). Professional services are the largest line item at $100,000-$300,000. Parallel infrastructure adds $20,000-$100,000 depending on the transition timeline. If you are using cloud-native tools and have in-house cloud expertise, the total drops significantly — but be realistic about whether your team has the bandwidth for a migration alongside their normal operations.
How to compare them
- Source environment coverage
Your data center probably has VMware VMs, Hyper-V VMs, bare-metal servers, and possibly physical database servers. A tool that only handles VMware misses a significant portion of your environment.
Ask: Which hypervisors and bare-metal operating systems do you support? Can you migrate physical servers (P2V)? Do you support migration from other cloud providers (cloud-to-cloud)?
- Target cloud provider support
Even if you are targeting one cloud provider today, your strategy may evolve. Multi-cloud support keeps your options open and prevents vendor lock-in to a single provider's migration toolset.
Ask: Which cloud providers do you support as targets? Can I migrate workloads to different providers within the same program? Do you support on-premises-to-cloud and cloud-to-cloud equally?
- Continuous replication and cutover automation
The difference between a migration tool and a copy tool is continuous replication. Tools that replicate continuously reduce the cutover window to minutes instead of hours, which is essential for mission-critical workloads.
Ask: Does the tool support continuous replication (not just one-time copy)? What is the typical replication lag? Can I automate the cutover sequence (stop source, final sync, switch DNS, validate)?
- Assessment and dependency mapping depth
Discovery tools that find servers without mapping dependencies are only solving half the problem. Dependency mapping that shows which applications talk to which databases over which ports is essential for wave planning.
Ask: How does dependency mapping work — agent-based or agentless? What level of detail do you capture (port-level, process-level, application-level)? How long does the assessment period need to be for accurate results?
- Scale and parallel migration capacity
Enterprise migrations involve hundreds or thousands of workloads. A tool that can only handle 10 simultaneous migrations will bottleneck the program timeline.
Ask: How many simultaneous replications/migrations can the tool handle? What are the bandwidth requirements per replicating workload? Is there a management console for tracking hundreds of workloads in flight?
- Total cost of ownership including cloud infrastructure during migration
The tool cost is a small fraction of the total migration cost. The real expense is professional services, parallel infrastructure, and staff time. Evaluate tools based on how much they reduce total program cost, not just their license fee.
Ask: What is the typical total cost of ownership for a migration of our scale? How does your tool reduce professional services requirements? What is the average customer's parallel-run duration?
Common mistakes
- Using only the target cloud provider's native tools
AWS, Azure, and GCP all offer free migration tools, and it is tempting to use what comes with the platform. But native tools are optimized for migrating to their own cloud and may lack features for complex source environments or multi-cloud targets.
Instead: Evaluate native tools first — they are free and often sufficient for straightforward lift-and-shift. Add third-party tools when you need cross-cloud support, advanced dependency mapping, or enterprise-grade orchestration that native tools lack.
- Starting migration before completing assessment
Stakeholder pressure to show progress. Moving a few servers to cloud feels like progress; weeks of assessment feels like delay. But migrating without understanding dependencies causes outages that set the program back further.
Instead: Run the assessment tool for at least 30 days to capture dependency patterns. Use the assessment data to define migration waves with dependency-aware ordering. Present the assessment findings as the first deliverable.
- Planning based on on-premises server specs instead of actual utilization
It is easy to map a 16-core, 64GB on-premises server to a similarly sized cloud instance. But most on-premises servers are provisioned for peak plus headroom and run at 10-30% average utilization.
Instead: Use the assessment tool's utilization data to right-size cloud instances from day one. Migrating right-sized workloads saves 30-50% on cloud costs compared to replicating on-premises specs.
- Not testing application functionality after migration, only infrastructure connectivity
Infrastructure teams verify that the server is running and network connections work. But application-level testing (login workflows, transaction processing, API integrations) is left to application owners who may not be included in the migration process.
Instead: Define application acceptance criteria before migration. Include application owners in every cutover event. Do not mark a migration complete until application-level validation passes, not just infrastructure health checks.
- Treating migration as a one-time project instead of a program
Leadership wants a fixed end date. Migration teams promise 'we will be done by Q3.' In reality, enterprise migrations are iterative programs that extend over multiple quarters as complexity is discovered.
Instead: Frame the migration as a program with quarterly wave targets. Report progress in workloads migrated and risk reduced, not percentage complete. Set expectations that the timeline will adjust as the team learns.
Before you buy
- 1Run a discovery and assessment tool (AWS Migration Hub, Azure Migrate, or a third-party equivalent) for at least 30 days to capture accurate server inventory, utilization data, and dependency maps.
- 2Define your migration strategy per workload (rehost, replatform, refactor, repurchase, retire, retain) based on business criticality, technical debt, and remaining useful life.
- 3Determine your target cloud provider(s) and validate that the provider meets your compliance requirements for every regulated workload.
- 4Build a realistic TCO model that includes migration costs (tools, services, staff), parallel infrastructure costs during the transition, and post-migration cloud costs at right-sized instance levels.
- 5Identify your most complex workloads (large databases, mainframe dependencies, real-time integrations) and confirm your chosen tools can handle them before committing to a tool vendor.
- 6Establish application acceptance criteria for each workload — who validates that the application works correctly after migration, and what does 'works correctly' mean?
- 7Plan migration waves with dependency-aware ordering. No application should migrate before the databases and services it depends on.
- 8Confirm your network bandwidth can support continuous replication for the number of workloads being replicated simultaneously. Add dedicated bandwidth if necessary.
- 9Engage application owners early. They must be involved in cutover planning, testing, and validation — this cannot be an infrastructure-only exercise.
- 10Budget for post-migration optimization. Migrated workloads are almost always over-provisioned. Plan a right-sizing exercise 30-60 days after each migration wave.
- 11Establish rollback procedures for every migration wave. Know exactly how to revert to the on-premises environment if the cutover fails.
People also ask about cloud migration solutions
How long does a typical cloud migration take?
A mid-market migration of 50-200 workloads takes 3-6 months from assessment to completion. Enterprise migrations of 500+ applications typically take 12-24 months. The assessment and planning phase is 4-8 weeks; the actual migration happens in waves of 10-20 workloads, each taking 1-3 weeks. The first wave takes 2-3x longer than subsequent waves as the team builds its playbook. The timeline depends less on the number of servers and more on the complexity of applications, dependencies, and organizational coordination.
Are the cloud provider's free migration tools good enough, or do I need third-party tools?
For straightforward lift-and-shift to a single cloud provider, the native tools (AWS MGN, Azure Migrate, Google Cloud Migrate) are genuinely good and free. They handle VM replication, continuous sync, and automated cutover well. You need third-party tools when: you are migrating to multiple cloud providers simultaneously, your source environment includes a mix of VMware, Hyper-V, and bare metal that native tools do not fully cover, you need enterprise-grade orchestration for complex cutover sequences, or you need advanced dependency mapping beyond what native tools provide.
How much does a cloud migration cost?
For a mid-market migration (100 servers, 10-20 applications): migration tools $0-$50,000 (cloud-native tools are free), professional services $100,000-$300,000, parallel infrastructure $20,000-$100,000, staff time and overtime $50,000-$100,000. Total: $150,000-$500,000. Enterprise migrations (500+ servers) routinely exceed $1,000,000 in total cost. The migration tools are the smallest line item; professional services are the largest.
What is the difference between lift-and-shift and replatforming?
Lift-and-shift (rehosting) moves a workload to the cloud exactly as it is: same OS, same application, same configuration, just running on a cloud VM instead of an on-premises server. Replatforming makes small optimizations during the move: switching from self-managed MySQL to Amazon RDS, moving from IIS to a managed container service, or upgrading the OS version. Replatforming adds 2-4 weeks per application but reduces post-migration operational overhead. For applications with a long remaining life (3+ years), replatforming is usually worth the additional effort.
What is the biggest risk in cloud migration?
Undiscovered dependencies. When you migrate Application A without realizing it depends on Service B (which is still on-premises), Application A breaks immediately. Dependency mapping before migration is the single most important risk mitigation activity. The second biggest risk is database migration: data integrity issues, replication lag during cutover, and stored procedure incompatibilities cause more post-migration incidents than any other workload type.
Can I migrate databases with near-zero downtime?
Yes, using continuous replication. AWS Database Migration Service (DMS) and Azure Database Migration Service both support continuous data replication from on-premises to cloud databases. The source database continues operating during replication. At cutover time, you stop writes to the source, let the final transactions replicate (typically seconds to minutes), switch the application connection string to the cloud database, and resume operations. The actual downtime is the time it takes to stop writes and switch connection strings — typically 1-5 minutes for a well-orchestrated cutover.
Should I migrate everything at once or in waves?
In waves, always. Migrating everything simultaneously (a 'big bang' cutover) is the highest-risk approach: if anything goes wrong, everything is affected. Wave-based migration starts with low-risk, low-dependency workloads, builds the team's confidence and playbook, and progressively migrates more complex workloads. Typical wave size is 10-20 workloads, with waves every 1-3 weeks. By wave three or four, the team has a repeatable process that significantly reduces per-workload effort and risk.
What about compliance — can I move regulated data to the cloud?
Yes, with proper planning. AWS, Azure, and GCP all hold HIPAA, PCI-DSS, SOC 2, and FedRAMP certifications for specific regions and services. The key requirements are: data encryption in transit (TLS 1.2+) and at rest, geographic data residency in compliant regions, Business Associate Agreements for HIPAA, and audit logging for all migration activities. The cloud is not inherently less compliant than on-premises — in most cases, the major cloud providers hold more compliance certifications than private data centers.
How do I handle applications that cannot be migrated to the cloud?
The 'Retain' strategy in the 6 Rs framework covers workloads that stay on-premises. Common reasons include: hardware dependencies (industrial control systems, specialized hardware), ultra-low-latency requirements, regulatory restrictions that prohibit cloud hosting, or applications scheduled for retirement within 12-18 months (not worth the migration effort). For retained workloads, establish hybrid connectivity (VPN or Direct Connect/ExpressRoute) between on-premises and cloud, and use hybrid management tools (Azure Arc, AWS Outposts) for a unified operations experience.
Is cloud migration actually cheaper than staying on-premises?
In the long term, usually yes, but not always. Cloud is cheaper when: you can right-size instances (most on-prem servers are over-provisioned), you can leverage elasticity (scale up for peaks, scale down overnight), and you can consume managed services instead of maintaining them yourself. Cloud is NOT cheaper when: you run consistently high utilization (cloud's premium is for flexibility you are not using), you have fully depreciated hardware with low maintenance costs, or your team does not optimize cloud spending (right-sizing, reserved instances, auto-scaling). Run an honest TCO comparison using actual utilization data, not vendor calculators.
Related categories
These categories cover adjacent workflows that often factor into the same buying decision.
- Data Integration Tools
Compare data integration tools for connecting and syncing data across systems.
- Digital Twin Software
Compare digital twin platforms for simulating physical assets and processes.
- Desktop Database Software
Compare desktop database software for local data management.
- Online Backup Software
Compare backup software for protecting data across endpoints, servers, and cloud.
Continue through this category cluster
Use the next pages below to move from category framing into ranked tools, software profiles, comparisons, glossary terms, and buyer guides.
Free Cloud Migration Solutions
Check which tools in this category offer free tiers, trials, or community editions before committing budget.
Open the software directory
Move into the full directory when the team needs to scan adjacent vendors and remove weak-fit options quickly.
Open the comparison library
Use vendor-vs-vendor pages once the candidate set is realistic enough for direct tradeoff analysis.
Open the glossary
Use glossary terms when the category language needs clearer definitions before internal alignment hardens.
Read buyer guides
Use blog articles for explainers, best practices, pricing questions, and broader buying guidance.