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Digital Transformation In IndustryTop 10 Best Application Migration Services of 2026
Rank top application migration services with Accenture, Deloitte, Capgemini plus Cognizant, TCS, Infosys, for provider shortlisting and tradeoffs.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Cognizant is the strongest pick for large portfolios where you need wave planning, dependency mapping, and controlled cutovers, while Tata Consultancy Services fits best for enterprises that want standardized governance across multi-wave migrations for many applications.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Cognizant
Migration factory delivery model that coordinates wave planning, integration testing, and release control across dependent applications.
Built for fits when large portfolios need wave planning, dependency mapping, and controlled cutovers..
Tata Consultancy Services
Editor pickMigration factory execution model that standardizes wave planning, engineering checks, and cutover governance for large portfolios.
Built for fits when enterprises plan multi-wave migrations across many applications and need standardized governance..
Infosys
Editor pickMigration readiness and wave planning that ties dependency mapping outputs into cutover and rollback execution sequencing.
Built for fits when enterprises need governed, dependency-aware migrations across many applications..
Comparison Table
Cognizant
enterprise_vendorIT services firm delivering cloud application migration and modernization programs.
Migration factory delivery model that coordinates wave planning, integration testing, and release control across dependent applications.
Cognizant typically starts with application portfolio assessment and dependency mapping to define a migration readiness picture and sequencing plan. Migration execution follows a wave model that coordinates build, integration testing, and acceptance testing, which reduces surprises during cutover. For organizations that expect parallel run and rollback planning, delivery includes operational guidance around migration execution patterns and release control.
A key tradeoff is that success depends on tight client governance for target-state architecture decisions and interface ownership, because Cognizant coordinates across many moving parts. Cognizant fits best when multiple applications require coordinated dependency mapping and shared platform target choices, such as during cloud adoption programs with mixed legacy stacks.
- +Wave-based migration execution reduces cross-application cutover risk
- +Integration testing support covers application and data flow continuity
- +Structured dependency mapping improves sequencing across portfolios
- +Operational release planning supports rollback and parallel run patterns
- –Client-led target architecture decisions can gate delivery timing
- –Best outcomes require disciplined interface and data ownership
- –Refactor work increases scope management effort
- –Complex legacy estates may need longer ramp for factory setup
CTO office and enterprise architects
Portfolio-wide migration sequencing across dependencies
Lower cutover incidents
Platform engineering teams
Rehost and replatform to a landing zone
Faster migration throughput
Show 2 more scenarios
Application owners and QA leaders
Integration and acceptance testing readiness
Fewer late defects
Cognizant runs end-to-end integration testing loops to surface interface breakage before user acceptance testing.
Program managers and governance leads
Cutover planning with rollback controls
Controlled go-live
Cognizant supports cutover planning and rollback readiness for staged deployments across multiple releases.
Best for: Fits when large portfolios need wave planning, dependency mapping, and controlled cutovers.
Tata Consultancy Services
enterprise_vendorIndia-headquartered IT services firm offering application migration factory services worldwide.
Migration factory execution model that standardizes wave planning, engineering checks, and cutover governance for large portfolios.
Tata Consultancy Services is a fit for organizations with a broad application inventory that requires consistent standards across waves, including application dependency mapping and migration readiness assessment. The engagement shape typically supports landing zone setup, migration factory workflows, and structured cutover and rollback planning to reduce project risk during phased transitions. Teams can use the same delivery program to handle mixed workloads such as packaged apps, custom Java and .NET services, and database-backed systems that require careful sequencing.
A key tradeoff is that portfolio-scale delivery adds process overhead, so smaller migrations with one or two applications often feel heavier than specialist boutiques. A common usage situation is a multi-region rollout that runs parallel waves, where standardized factory throughput and repeatable test approaches matter more than bespoke one-off changes.
- +Portfolio-scale wave execution with consistent engineering standards
- +Strong dependency mapping to sequence migrations and cutovers
- +Testing-focused delivery artifacts for integration and acceptance cycles
- +Operational readiness support for rollback and parallel run
- –Heavier governance and process overhead for small migration scopes
- –API-led modernization may require extra specialist tooling choices
- –Factory-style throughput can slow rapid single-team experiments
- –Cross-team coordination needs clear ownership for change approvals
CTO office and platform engineering
Move many apps with repeatable waves
Lower cutover risk and rework
Enterprise architecture teams
Assess readiness and define target-state architecture
Clear sequencing and target decisions
Show 2 more scenarios
Application engineering leads
Modernize selected services during migration
Fewer defects during rollout
TCS runs integration testing cycles to validate rehost and refactor changes in waves.
Operations and release management
Cutover with rollback and parallel run
More controlled production changes
TCS supports rollback planning and operational readiness for staged traffic transitions.
Best for: Fits when enterprises plan multi-wave migrations across many applications and need standardized governance.
Infosys
enterprise_vendorGlobal digital services provider with application migration and modernization offerings.
Migration readiness and wave planning that ties dependency mapping outputs into cutover and rollback execution sequencing.
Infosys can structure application portfolio assessment into an actionable migration factory workflow using dependency mapping and migration readiness indicators. Delivery teams typically produce application inventory outputs, target-state architecture guidance, and wave planning inputs to support structured cutover and rollback planning. Integration depth is practical when migrations affect upstream and downstream systems because Infosys engineering can run API compatibility and integration testing across application boundaries.
A tradeoff appears in how governance and architecture alignment shape timelines. Programs that need fast, lightweight pilot migrations without broad enterprise alignment may find the delivery motion heavier than expected. Infosys fits best when migration spans many systems, requires coordinated dependency handling, and must transition workloads into a controlled landing zone with defined operational ownership.
- +Portfolio-scale migration factory workflow for multi-wave programs
- +Consistent dependency mapping artifacts to reduce cutover surprises
- +Engineering support for API compatibility and integration testing
- +Governed transition planning with cutover and rollback artifacts
- –Delivery motion can slow down small pilots needing minimal governance
- –Source-code analysis depth depends on application access and tooling scope
- –Highly custom target architectures may require extended architecture workshops
Enterprise architecture teams
Target-state alignment for modernization waves
Clearer wave execution decisions
Platform engineering teams
API compatibility testing during modernization
Fewer integration regressions
Show 1 more scenario
IT operations leaders
Operational readiness for cutover transitions
More controlled go-lives
Transition planning includes cutover and rollback artifacts aligned to operational ownership for new workloads.
Best for: Fits when enterprises need governed, dependency-aware migrations across many applications.
EPAM Systems
enterprise_vendorDigital platform engineering firm providing application migration and modernization.
Migration delivery via an engineering-run migration factory that combines dependency mapping with API integration gates for each wave.
EPAM Systems is a services-focused migration partner with delivery depth across application engineering, data work, and cloud landing zones. Its approach combines application portfolio assessment support, dependency mapping, and migration factory execution to run wave-based cuts with engineering-controlled quality gates.
EPAM also brings an explicit API compatibility and integration-testing workflow to reduce surprises during cutover and parallel run phases. Delivery governance is reinforced through staffed solution architecture, security reviews, and traceable work management across rehost, replatform, and refactor paths.
- +Migration factory delivery model supports repeatable wave planning and controlled throughput
- +Engineering-led API compatibility testing reduces integration regressions before cutover
- +Strong dependency mapping helps sequence migrations across shared services
- +Cloud and landing zone work supports structured environment provisioning and cutover readiness
- –Governance and artifact review require active client participation to stay on schedule
- –Enterprise workload coverage is strong but smaller scope migrations can feel heavyweight
Best for: Fits when enterprises need engineering-led application migration waves with strict integration testing and governance.
Globant
enterprise_vendorDigital transformation company offering cloud application migration and modernization.
Migration factory delivery that enforces standardized cutover, rollback, and parallel-run execution artifacts across waves.
Globant delivers application migration services that translate assessment findings into implementation waves for rehost, replatform, refactor, and retirement decisions. The delivery model pairs large-scale engineering with integration-focused migration work like dependency mapping, API compatibility checks, and cutover planning.
Globant also offers automation hooks through documented integration work patterns and API-first integration testing support across modern platforms. Governance and control depth show up most clearly in how migration execution is organized into migration factories, with standardized artifacts that support repeatable rollbacks and parallel runs.
- +Migration waves are engineered with cutover and rollback planning baked into delivery
- +Integration testing for API compatibility is supported across system and interface boundaries
- +Large engineering benches support high-throughput migration factory execution
- +Standardized migration artifacts improve consistency across multiple application portfolios
- –Effective governance requires client alignment on target-state architecture and standards
- –Smaller teams may need extra help to convert assessments into execution-ready backlog
Best for: Fits when enterprises need repeatable migration execution across many applications with strict cutover control.
Deloitte
enterprise_vendorBig Four consultancy with dedicated application modernization and cloud migration practices.
Wave planning and portfolio execution management by Deloitte delivery teams with explicit cutover and rollback coordination across teams.
Deloitte fits large enterprises that need migration delivery under tight governance and cross-system coordination. Its application migration offering typically combines application portfolio assessment, architecture work, and execution support through Deloitte delivery teams.
The engagement model emphasizes dependency mapping, target-state design, and repeatable waves for rehost, replatform, and refactor decisions. Automation is usually driven through implementation tooling and structured migration factory practices rather than a single vendor product layer.
- +Strong delivery governance for multi-wave application portfolio programs
- +Depth in target-state architecture and cutover planning practices
- +Structured dependency mapping support across complex estates
- +Extensible engagement delivery via Deloitte specialists and partner ecosystem
- –Execution timeline depends heavily on client-provided access and decision cadence
- –Automation relies on engagement tooling choices rather than a single platform surface
- –Requires disciplined configuration and environment management for cutover and rollback
- –Toolchain transparency can vary by subcontractor and delivery unit
Best for: Fits when enterprise teams need end-to-end migration execution with strong governance and architecture oversight.
IBM Consulting
enterprise_vendorTechnology consultancy delivering application migration, modernization, and mainframe-to-cloud services.
IBM Consulting can combine enterprise architecture governance with migration factory delivery to standardize waves, testing, and cutover controls.
IBM Consulting is distinct in application migration work because it pairs migration delivery with enterprise architecture, governance, and automation guidance. IBM teams commonly support migration factory style execution across large portfolios, covering application assessment, dependency mapping, and wave planning.
Delivery methods emphasize integration readiness, database migration approach, and test planning tied to cutover and rollback. IBM also brings IBM Cloud and Red Hat ecosystem experience into target planning for rehost, replatform, and refactor scenarios.
- +Strong enterprise governance and architecture alignment for cross-team migrations
- +Migration planning includes dependency mapping and wave execution support
- +Integration testing and cutover planning guidance for multi-system changes
- +Extensibility through IBM tooling and ecosystem partnerships for target environments
- –Delivery relies on disciplined intake of inventory and access to systems
- –Automation depth depends on engagement structure and tooling selected
Best for: Fits when large enterprises need governance-led migration planning and multi-app integration cutovers.
Capgemini
enterprise_vendorEuropean IT services leader specializing in cloud application migration and transformation.
Migration program governance tied to dependency-driven wave execution, with cutover and rollback runbooks managed per application stream.
Capgemini is a global application migration services firm that pairs portfolio assessment delivery with engineering-heavy execution across rehost, replatform, and refactor programs. Its migration engagements typically combine application discovery outputs with dependency mapping to drive wave planning, target-state architecture decisions, and cutover and rollback runbooks.
Capgemini also brings integration delivery depth for enterprise interfaces, including API compatibility validation and integration testing orchestration across environments. Delivery governance is a recurring theme in how programs manage onboarding, change control, and migration throughput across multiple application streams.
- +Strong dependency mapping inputs that support credible wave planning across portfolios
- +Engineering execution depth across rehost, replatform, and refactor tracks
- +Practical integration testing orchestration for application and API interaction changes
- +Program governance patterns that support multi-stream migration delivery control
- –Integration and migration automation depends on program-specific tooling and enablement work
- –Large engagement structure can slow decisions for small, single-application moves
- –Landing zone and environment setup effort is often substantial on first migrations
- –Requires clear ownership of source-code access and release coordination to stay on schedule
Best for: Fits when enterprises need controlled, multi-application migration delivery with governance and engineering integration testing.
Wipro
enterprise_vendorGlobal technology services provider offering application migration and cloud transformation.
Wave-based migration factory orchestration that ties dependency mapping outputs to cutover plan steps and release controls.
Wipro delivers application migration services that center on structured portfolio discovery, dependency analysis, and controlled cutover planning. Teams typically get migration factory support that coordinates rehost, replatform, and refactor work across waves with integration testing and deployment choreography.
The engagement model includes governance artifacts such as role-based access, audit logging, and release controls that support multi-stakeholder migration programs. Delivery coverage extends across legacy modernization and cloud landing zone build-outs, with templates to standardize target architecture and runbooks.
- +Migration factory delivery model coordinates waves with runbooks and release readiness checks
- +Strong dependency mapping support for dependency mapping, integration testing, and cutover sequencing
- +Governance artifacts support RBAC, audit log trails, and controlled environment access
- +Broad modernization options across rehost, replatform, and refactor pathways
- –Integration testing scope can expand quickly when legacy interfaces lack clear API contracts
- –Automation and API extensibility depend on client tooling alignment, not a fixed self-serve surface
Best for: Fits when enterprises need guided migration execution across many apps with governance and wave planning.
HCLTech
enterprise_vendorTechnology services company with application modernization and cloud migration capabilities.
Migration execution governance that ties portfolio readiness outputs to repeatable wave delivery, cutover, and rollback planning.
HCLTech is a service provider fit for enterprises that require standardized migration execution across many applications and multiple releases.
The company pairs application inventory and dependency mapping style discovery with engineering delivery for rehost, replatform, and refactor routes.
Delivery execution includes cutover and rollback planning and testing discipline targeted at integration and compatibility risks.
Fit is strongest when migration work can be organized into waves with defined responsibilities and shared acceptance criteria.
- +Portfolio-scale migration delivery with wave planning and controlled cutovers
- +Dependency mapping and readiness style assessments feeding engineering execution
- +Broad implementation coverage across rehost, replatform, and refactor tracks
- +Testing and integration focus for third-party and internal connectivity points
- –Governance depth can add overhead for small, single-application efforts
- –Automation interfaces depend on engagement design and may be limited for custom tooling
- –Source-code analysis and migration recommendations can require clear input quality
- –Operational runbook readiness may vary by application complexity and wave
Best for: Fits when enterprises need managed, portfolio-scale migration factory execution with strong wave cutover control.
Conclusion
After evaluating 10 digital transformation in industry, Cognizant stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right application migration
Application migration programs fail most often when wave planning does not reflect dependency sequencing and when cutover controls cannot be traced across application and interface boundaries. This buyer’s guide narrows the field to Cognizant, Tata Consultancy Services, Infosys, EPAM Systems, Globant, Deloitte, IBM Consulting, Capgemini, Wipro, and HCLTech.
The covered providers emphasize execution factories, governed wave runbooks, and integration testing gates to reduce regressions at cutover and rollback time. Cognizant ranks first for a migration factory delivery model that coordinates wave planning, integration testing, and release control across dependent applications.
Application migration services that turn portfolio plans into controlled waves, cutover, and rollback
Application migration services move applications and supporting data to a target state using rehost, replatform, refactor, retire, retain, or repurchase tracks mapped to migration readiness outputs. The work typically starts with application inventory and dependency mapping so engineering can plan wave order, define integration testing scope, and publish cutover and rollback steps that support parallel run.
Cognizant’s delivery model is built for cross-application coordination by tying wave planning to integration testing and release control across dependent applications. Tata Consultancy Services and Infosys both run migration factory workflows that standardize wave planning and governance so dependency mapping artifacts feed cutover and rollback execution sequencing across large portfolios.
Migration factory delivery controls and integration-test gates
Application migration services succeed when wave planning is tied to cross-application dependency sequencing and to release-ready cutover controls. Providers below are measured on how they coordinate that end-to-end flow instead of treating assessment artifacts as deliverables without execution coupling.
Integration testing gates matter because interface regressions usually surface at cutover and rollback time. The leading providers in this field use engineering-run wave workflows that connect integration checks to release sequencing across system boundaries.
Wave planning to cutover and rollback runbooks
Cognizant coordinates wave planning with release control across dependent applications, which reduces cutover risk when sequencing spans multiple apps. Globant standardizes cutover, rollback, and parallel-run artifacts so each wave carries execution steps into cutover time.
Dependency mapping outputs that drive execution sequencing
Tata Consultancy Services uses migration factory execution to standardize wave planning and cutover governance, then sequences migrations based on strong dependency mapping inputs. Infosys ties dependency mapping outputs into cutover and rollback execution sequencing to reduce surprises during wave execution.
Engineering-led API compatibility testing per wave
EPAM Systems runs an engineering-led migration factory that adds API integration gates for each wave. Capgemini couples dependency-driven wave execution with engineering integration testing depth across execution tracks so interface work stays connected to the wave plan.
Governance depth for multi-team portfolio execution
Deloitte provides explicit cutover and rollback coordination across teams with delivery governance that covers multi-wave portfolio programs. IBM Consulting combines enterprise architecture governance with migration factory delivery so cross-team migrations follow shared governance decisions.
Migration factory orchestration with release readiness checks
Wipro ties migration factory orchestration to cutover plan steps and release controls, then uses dependency mapping to support integration testing and cutover sequencing. HCLTech ties portfolio readiness outputs into repeatable wave delivery, cutover, and rollback planning to keep execution artifacts consistent.
A decision framework for mapping portfolio complexity to delivery model
The first decision is whether the migration program needs a migration factory delivery model that standardizes wave planning and execution controls for many dependent applications. Cognizant, Tata Consultancy Services, Infosys, and EPAM Systems all score highest when the portfolio requires governed multi-wave orchestration.
The second decision is how interface risk should be handled during waves. EPAM Systems focuses on engineering-led API compatibility testing gates, while Globant and Wipro emphasize standardized execution artifacts like cutover, rollback, and release readiness checks.
Match wave orchestration depth to portfolio size and dependency density
If the program needs wave planning that coordinates dependent applications and release control, Cognizant’s wave coordination across dependencies fits the delivery shape. If the program requires standardized wave planning and governance for multi-wave execution across many applications, Tata Consultancy Services offers portfolio-scale execution with dependency mapping-driven sequencing.
Require execution-grade dependency mapping artifacts that drive sequencing
If dependency mapping must feed cutover and rollback sequencing as a governed workflow, Infosys ties dependency mapping outputs to execution order. If dependency mapping is used to sequence migrations and cutovers under consistent engineering standards, Tata Consultancy Services and Wipro both emphasize that dependency-to-wave control chain.
Demand integration testing gates that cover API and interface boundaries
For programs where interface regressions risk cutover failure, EPAM Systems uses engineering-led API integration gates per wave. For programs where repeatable cutover and rollback artifacts must carry integration-test expectations across system boundaries, Globant supports integration testing for API compatibility across waves.
Choose governance intensity based on client access and decision cadence
If strong governance depends on client-provided access and fast architecture decisions, Deloitte’s execution timeline hinges on access and decision cadence. If governance can be shared through enterprise architecture alignment for cross-team migrations, IBM Consulting’s governance-led planning supports coordination across teams.
Select engineering execution controls when teams need strict throughput and consistency
If repeatable wave planning and controlled throughput are required, EPAM Systems’ engineering-run migration factory supports that execution discipline. If the program needs standardized cutover, rollback, and parallel-run execution artifacts that keep waves consistent, Globant’s delivery model fits that need.
Who should buy application migration services with factory-style wave execution
Organizations with multi-application dependency graphs benefit most from providers that run wave planning with cutover and rollback controls embedded in execution. This buyer profile fits enterprises that must manage cross-application sequencing, interface risk, and release readiness checks across multiple teams.
Teams also benefit when integration testing gates exist at wave time rather than after migration work is finished. Providers in this guide link integration testing to wave execution and release control, with EPAM Systems adding API integration gates per wave and Cognizant connecting integration testing and release control across dependent applications.
Large enterprises running multi-wave migrations across many applications
Tata Consultancy Services standardizes wave planning and engineering checks for large portfolios and sequences cutovers using dependency mapping. Cognizant also coordinates wave planning with integration testing and release control across dependent applications.
Programs where interface regressions can break cutover and rollback
EPAM Systems uses API integration gates per wave to reduce integration regressions before cutover. Globant supports integration testing for API compatibility across system and interface boundaries as part of engineered migration waves.
Cross-team portfolio transformations that require governance and architecture oversight
Deloitte provides explicit cutover and rollback coordination across teams with governance and target-state architecture depth. IBM Consulting combines enterprise architecture governance with migration factory delivery for cross-team migrations.
Organizations needing standardized execution artifacts like rollback and parallel-run controls
Globant enforces standardized cutover, rollback, and parallel-run execution artifacts across waves. Wipro coordinates waves with runbooks and release readiness checks while mapping dependencies to cutover plan steps.
Common migration buying mistakes that break wave execution
Many failures come from treating wave planning as a documentation exercise instead of a release control mechanism. The leading providers in this guide connect wave execution to integration testing gates and rollback planning so execution can be governed as waves progress.
Another failure mode is underestimating client decision cadence and access requirements. Deloitte’s delivery timing depends heavily on client-provided access and decision cadence, and several other providers require active participation to keep governance artifacts review cycles on schedule.
Buying migration execution without a migration factory workflow that ties wave plans to release control
Cognizant connects wave planning to integration testing and release control across dependent applications, which is a concrete execution mechanism. Globant also bakes cutover and rollback artifacts into engineered wave delivery instead of handing back planning documents.
Sequencing decisions that ignore dependency mapping artifacts during cutover and rollback planning
Infosys ties dependency mapping outputs into cutover and rollback execution sequencing to reduce cutover surprises. Tata Consultancy Services also uses dependency mapping to sequence migrations and cutovers under standardized wave governance.
Assuming integration testing can be handled after wave cutover decisions are finalized
EPAM Systems reduces integration regressions by adding API compatibility testing gates inside each wave before cutover. Globant supports integration testing for API compatibility across boundaries within the wave workflow.
Underestimating how governance review cycles depend on client access and architecture decision cadence
Deloitte’s execution timeline depends heavily on client-provided access and decision cadence. EPAM Systems notes governance and artifact review require active client participation to stay on schedule.
Choosing governance-heavy execution when the program scope is small and needs minimal motion
Tata Consultancy Services flags heavier governance and process overhead for small migration scopes. Cognizant also signals best outcomes require disciplined interface and data ownership, which increases overhead when scope is narrow.
How We Selected and Ranked These Providers
We evaluated Cognizant, Tata Consultancy Services, Infosys, EPAM Systems, Globant, Deloitte, IBM Consulting, Capgemini, Wipro, and HCLTech on migration factory execution strength, wave planning controls, and integration testing gates tied to cutover and rollback. Features counted for 40%, ease and value each counted for 30%.
Cognizant separated itself by combining a migration factory delivery model with wave planning coordination, integration testing support, and release control across dependent applications. Tata Consultancy Services and Infosys ranked next for portfolio-scale governance and dependency mapping artifacts that feed execution sequencing, while EPAM Systems ranked high for engineering-led API integration gates per wave.
Frequently Asked Questions About application migration
How do migration services coordinate wave planning across dependent applications?
Which provider approach fits portfolio-wide governance for multi-wave migrations?
How do teams validate API compatibility before cutover?
What breaks if data synchronization and database migration plans are not defined early?
Which onboarding model works best for dependency mapping outputs to drive rollback execution?
How do migration partners handle security controls across teams and release changes?
When is a rehost and replatform path enough versus when refactoring becomes necessary?
What tradeoff occurs when migration execution prioritizes integration testing versus throughput?
How do services design cutover and parallel run so user acceptance testing stays consistent?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Digital Transformation In IndustryTop 10 Best Cloud Application Migration Services of 2026
- Digital Transformation In IndustryTop 10 Best AWS Migration Services of 2026
- Digital Transformation In IndustryTop 10 Best Application Programming Interface Services of 2026
- Digital Transformation In IndustryTop 10 Best Application Migration Software of 2026
- Digital Transformation In IndustryTop 10 Best Migration Agent Software of 2026
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