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Digital Transformation In IndustryTop 10 Best Data Center Modernization Services of 2026
Compare data center modernization services from Deloitte, Capgemini, and Wipro, outlining capabilities and fit for modernization planning and procurement.
How we ranked these tools
Vendors set the topic, but our editors set the inclusion criteria and the evaluation framework before research starts.
Agents extract product evidence with provenance, then collect written reviews and transcribe video reviews and podcasts.
Framework: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Deloitte is the best choice for large enterprises with governance-heavy data center transformations because it pairs end-to-end target-state architecture with delivery management across cloud, security, and operations. Capgemini is a strong alternative for hybrid migration programs with multiple workstreams since it delivers combined application refactoring and infrastructure modernization through hybrid execution.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Deloitte
End-to-end target-state architecture and delivery management across cloud, security, and operations modernization
Best for: Large enterprises modernizing data centers with governance-heavy transformation programs
Capgemini
Editor pickHybrid migration programs with combined application refactoring and infrastructure modernization delivery
Best for: Enterprises running hybrid migration programs with multi-workstream modernization needs
Wipro
Editor pickHybrid data center migration wave planning with operational readiness and governance controls
Best for: Large enterprises modernizing hybrid data centers with structured migration programs
Comparison Table
Deloitte
enterprise_vendorDeloitte provides end-to-end modernization consulting for data center and infrastructure transitions, including target architecture, migration governance, and operating model design.
End-to-end target-state architecture and delivery management across cloud, security, and operations modernization
Deloitte supports data center modernization through enterprise-scale advisory that connects target-state architecture to program execution management across reliability and cost governance. The firm also covers data center network and security modernization by defining control rationalization and implementation roadmaps for large portfolios. Delivery engagement patterns include coordinating workstreams from strategy through migration execution across hybrid environments.
A practical fit appears when modernization spans multiple domains such as application and infrastructure transformation, since Deloitte ties operating model redesign to technical delivery governance. A common tradeoff is that this approach suits enterprise programs where stakeholders can align on roadmaps, because it is less suited for short, narrow scope migrations with limited decision makers.
- +Enterprise modernization roadmaps with measurable outcomes and governance structures
- +Strong coverage of cloud migration planning, application readiness, and operating model design
- +Capability across infrastructure, networking, and security modernization workstreams
- +Program management rigor for cross-team delivery and control implementation
- –Engagements often require significant internal stakeholders and decision readiness
- –Delivery may be heavy on advisory artifacts without rapid hands-on iteration
- –May overfit enterprise processes for smaller modernization scopes
Healthcare IT programs
Modernize data center for health data exchange
More consistent data exchange
Enterprise executives
Plan modernization operating model and roadmap
Structured roadmap and aligned workstreams
Show 1 more scenario
Real estate portfolio teams
Organize modernization for tax operations systems
Traceable tax workflows
Applies structured workflows and governance discipline to support jurisdictional review cycles and appeals tracking.
Best for: Large enterprises modernizing data centers with governance-heavy transformation programs
Capgemini
enterprise_vendorCapgemini modernizes enterprise data centers through infrastructure transformation, data migration delivery, and hybrid cloud orchestration for industry clients.
Hybrid migration programs with combined application refactoring and infrastructure modernization delivery
Capgemini stands out for combining enterprise transformation delivery with deep systems engineering across private and hybrid infrastructure. The firm supports data center modernization through cloud migration planning, application refactoring, and infrastructure modernization for compute, storage, and network layers.
Capgemini also delivers data platforms and governance capabilities to modernize analytics and operational workloads during cutover. Delivery typically blends program management, architecture, and engineering to move from assessment to large-scale migration execution.
- +Strong end-to-end delivery from assessment and design through migration execution
- +Experienced in hybrid data center architectures spanning cloud and on-prem workloads
- +Capability to modernize applications alongside infrastructure for smoother cutovers
- +Adds data platform modernization and governance alongside infrastructure changes
- –Complex programs can require significant client coordination and decision velocity
- –Application refactoring scope can expand quickly without early baseline alignment
- –Multi-workstream migrations can increase operational change management demands
Cloud migration leaders
Run governed modernization across distributed estates
Governed cloud environment
Enterprise architecture teams
Modernize z/OS workloads with sequenced plans
Prioritized modernization roadmap
Show 2 more scenarios
Analytics and BI teams
Modernize data center for governed dashboards
Governed dashboard releases
Designs dashboard releases that connect production pipelines to governed data workflows during modernization.
Operations transformation leaders
Align modernization with process integration
Coordinated execution workflows
Redesigns planning and execution across workstreams and manages governed master data dependencies for cutover.
Best for: Enterprises running hybrid migration programs with multi-workstream modernization needs
Wipro
enterprise_vendorWipro supports data center modernization for industrial digital transformation through cloud migration, infrastructure modernization, and application re-platforming.
Hybrid data center migration wave planning with operational readiness and governance controls
Wipro stands out for delivering end-to-end data center modernization through a mix of infrastructure transformation and operations management. The provider supports cloud migration planning, application and platform modernization, and data center re-architecting for performance and resilience.
Service delivery commonly spans network modernization, security hardening, and workload optimization across hybrid environments. Strong governance structures help align migration waves, infrastructure dependencies, and operational readiness.
- +Broad modernization coverage across cloud, infrastructure, apps, and operations
- +Hybrid migration planning with workload wave sequencing and dependency management
- +Operational readiness focus through migration runbooks and transition support
- +Security hardening included across infrastructure and platform layers
- –Large-program delivery can reduce responsiveness for small, fast-turn changes
- –Modernization outcomes depend heavily on customer application inventory quality
- –Multi-vendor environments can add integration overhead
- –Legacy environment tooling standardization may require extra alignment work
Enterprise infrastructure teams
Stage data center and application migrations
Staged migration with cutovers
Application portfolio leaders
Modernize legacy apps during infrastructure refresh
Modernized applications
Show 2 more scenarios
Data governance teams
Prepare governed data for modernization
Improved lineage visibility
Implements metadata collection, taxonomy mapping, stewardship roles, and audit-oriented governance processes.
Product and visual data teams
Harmonize product data across modernization stacks
More consistent product information
Supports attribute harmonization and taxonomy mapping so modernized data sources feed visual analytics capabilities.
Best for: Large enterprises modernizing hybrid data centers with structured migration programs
Accenture
enterprise_vendorAccenture delivers data center modernization programs covering cloud and infrastructure transformation, application rationalization, and migration planning for industrial enterprises.
Portfolio-level modernization program governance that aligns architecture, security, and operational readiness
Accenture stands out for combining enterprise-scale data center modernization delivery with broad application, cloud, and infrastructure engineering capabilities. The provider supports assessment-to-migration programs covering data center strategy, cloud adoption, and hybrid operating models.
- +End-to-end modernization delivery from assessment through migration and operations readiness
- +Strong hybrid cloud engineering for data centers tied to resilience and security controls
- +Large-portfolio architecture governance for consistent standards across many apps
- +Integrated change management for smoother cutovers and reduced migration risk
- –Enterprise-scale delivery can feel heavy for smaller modernization scopes
- –Implementation timelines may depend heavily on client-side data and application access
- –Complex engagements can require strong internal sponsorship to keep momentum
Enterprise integration teams
Modernize data center for B2B connectivity
Standardized partner connectivity
Enterprise architecture teams
Modernize portals on governed infrastructure
Governed access controls
Show 2 more scenarios
CFO organizations
Modernize data center for finance reporting automation
Reduced manual handoffs
Connects finance processes and data sources to reporting, consolidation, reconciliation, planning, and audit-trail workflows.
Telecommunications innovation teams
Pilot emerging tech with operational readiness
Operationally ready pilot path
Plans and coordinates emerging technology pilots across equipment, network, security, and operational stakeholders with governance.
Best for: Large enterprises modernizing multiple data center workloads with hybrid cloud governance
Infosys
enterprise_vendorInfosys provides modernization services that combine cloud and data center transformation, application lifecycle modernization, and migration execution for enterprises.
Managed data center and cloud transformation with automated infrastructure and operational readiness
Infosys stands out for large-scale enterprise delivery capabilities across multi-vendor data center environments. The company supports modernization through cloud migration programs, infrastructure automation, and network and storage transformation.
- +Large enterprise delivery track record across multi-site modernization programs
- +Infrastructure automation capabilities for repeatable cloud and data center changes
- +Security and governance integrated into modernization roadmaps and controls
- +Operational readiness support for monitoring, incident handling, and service transition
- –Standardized programs can feel heavy for small, narrowly scoped modernization efforts
- –Complex environments may require strong internal governance to keep timelines steady
- –Application dependency mapping can slow early phases in large portfolios
Data governance teams
Clean data for modernization migrations
Cleaner migration-ready data
Data and platform teams
Modernize analytics foundation during upgrades
Integrated data foundations
Show 2 more scenarios
Enterprise infrastructure teams
Execute enterprise cloud migration with support
Governed cloud transition
Plans and delivers migration of applications, data platforms, and legacy connections into cloud environments with governance.
Enterprise security teams
Modernize identity across migrated platforms
Coordinated access controls
Connects authentication, single sign-on, directories, access governance, and account lifecycle workflows.
Best for: Enterprises modernizing multiple workloads across hybrid infrastructure and locations
DXC Technology
enterprise_vendorDXC Technology provides modernization and managed services that transform data center infrastructure into hybrid cloud operating environments.
Hybrid cloud migration programs combining infrastructure modernization with security and operational managed services
DXC Technology stands out for large-scale data center modernization delivery that spans infrastructure, operations, and enterprise applications. The provider supports hybrid cloud migration, network and security modernization, and managed services to run transformed environments.
- +End-to-end modernization across infrastructure, networks, security, and managed operations
- +Hybrid cloud migration support with architecture and implementation engineering
- +Application engineering for workload refactoring and platform modernization
- +Program governance for coordinated cutovers across multiple data center assets
- –Best fit for enterprise programs rather than small, single-system upgrades
- –Modernization timelines can be complex due to dependency-heavy enterprise environments
- –Cloud migrations require strong customer data readiness and access for smooth execution
Enterprise transformation teams
Modernize interdependent infrastructure and apps
Coordinated modernization approach
Enterprise cloud and infrastructure teams
Run sequenced hybrid workload migrations
Governed migration path
Show 2 more scenarios
Airline technology operations
Modernize for airline run-phase governance
Coordinated operational support
Supports reservation, departure, operational, data, and identity systems with integration and run-phase governance.
Workplace endpoint operations
Standardize endpoint operations during modernization
More consistent device operations
Manages device images, software catalogs, configuration updates, and endpoint security through repeatable processes.
Best for: Large enterprises modernizing hybrid data centers with managed transformation support
Tata Consultancy Services
enterprise_vendorTCS modernizes data center and IT infrastructure environments using cloud transformation delivery, application migration, and industrial-grade operating model changes.
Migration factory delivery model integrating infrastructure, applications, and operations into one program
Tata Consultancy Services stands out for delivering end-to-end data center modernization across enterprise estates using structured transformation programs. Core capabilities include cloud migration, infrastructure modernization, and application and data platform refactoring tied to security and reliability goals.
- +Large-scale migration factory approach for coordinated server and application cutovers
- +Strong security integration across infrastructure, identity, and access controls
- +Broad ecosystem skills for cloud, automation, and hybrid operating models
- +Operational readiness support for monitoring, runbooks, and service transition
- –Enterprise process rigor can slow agile changes for small scope efforts
- –Modernization outcomes depend heavily on clean baseline assessments
- –Multi-vendor environments can add integration and dependency complexity
Data platform and database teams
Modernize schemas while upgrading platforms
Implementation-ready schema changes
Enterprise application teams
Modernize applications across coordinated technical workstreams
Updated applications supported
Show 2 more scenarios
Enterprise finance teams
Deliver ERP modernization with cutover planning
Planned validation and transition
Plans ERP changes with data migration, integrations, testing, and cutover transition activities.
Enterprise commerce teams
Integrate commerce workflows with back-office systems
Connected commerce process
Implements storefront-to-order and catalog connectivity across systems with coordinated data flows.
Best for: Large enterprises modernizing hybrid data centers with governance-heavy delivery
IBM Consulting
enterprise_vendorIBM Consulting modernizes data center estates with cloud transformation services, migration factories, and governance for large-scale enterprise infrastructure programs.
Hybrid and multicloud modernization governance with security and operational readiness built into delivery
IBM Consulting stands out for pairing large-scale delivery programs with enterprise data center modernization across cloud, infrastructure, and operations. The service covers application and platform modernization, hybrid and multicloud architecture, infrastructure transformation, and operational readiness for new environments.
- +Hybrid and multicloud architecture built for data center transition programs
- +Strong security and governance integration across modernization roadmaps
- +End-to-end coverage from migration planning through post-move operations
- –Large-program approach can feel heavy for small modernization scopes
- –Complex transformations may require extensive stakeholder coordination
- –Migration outcomes depend heavily on upstream application assessment quality
Data platform and governance teams
Modernize data center for governed data products
Reusable data products
Enterprise app modernization leaders
Stage legacy refactoring as modernization program
Staged modernization roadmap
Show 2 more scenarios
AI operations teams
Operate AI workloads after infrastructure transitions
Production-oriented AI workflows
Moves AI and natural language use cases into integrated production workflows with integration, security, and change management.
Enterprise architecture teams
Plan hybrid target architecture for modernization
Governed target architecture
Aligns cloud architecture, security, applications, and data across hybrid environments with a governed execution plan.
Best for: Enterprises modernizing hybrid data centers with structured transformation programs
CGI
enterprise_vendorCGI modernizes enterprise data centers with hybrid cloud services, migration programs, and application and infrastructure modernization for large operators.
Hybrid cloud migration governance that ties architecture, security, and execution into one delivery track
CGI stands out for combining global system integration delivery with data center modernization programs tied to cloud migration and infrastructure transformation. Core capabilities include application modernization planning, hybrid cloud architecture, and migration execution with governance for security and reliability.
- +End-to-end modernization from assessment through migration and post-cutover operations
- +Hybrid cloud architecture guidance for workloads spanning on premises and cloud
- +Application modernization support alongside infrastructure transformation work
- +Security and governance practices integrated into modernization delivery
- –Transformations can feel process heavy for teams wanting rapid, lightweight changes
- –Program scale may exceed smaller environments needing only narrow upgrades
- –Complex multi-vendor environments require strong coordination to avoid delays
Enterprise architecture teams
Modernize apps connected to newer platforms
Controlled deployment and handoff
Healthcare information organizations
Modernize data center for interoperable clinical data
More consistent data exchange
Show 2 more scenarios
IT infrastructure and cloud teams
Hybrid migration with defined operating processes
Defined operating processes
Plans and delivers migration programs while supporting operations across on-premises and cloud environments.
Government compliance teams
Modernize for cloud migration with controls
Documented controls and support
Combines public-sector cloud migration, managed services, integration, and compliance implementation with documented controls.
Best for: Enterprises modernizing hybrid data centers and applications with SI-grade delivery
NTT DATA
enterprise_vendorNTT DATA delivers data center modernization and hybrid cloud programs using application and infrastructure migration services and managed transformation capabilities.
Hybrid migration and operational readiness delivery across data center and cloud estates
NTT DATA stands out for end-to-end delivery across data center build, cloud migration, and operations transformation programs tied to enterprise infrastructure portfolios. Core modernization capabilities include application and platform migration planning, hybrid architecture design, and data center infrastructure modernization for compute, storage, and network environments.
- +End-to-end modernization covering infrastructure, applications, and operating model changes
- +Hybrid architecture and migration planning for complex enterprise workload portfolios
- +Operational readiness support with monitoring, incident workflows, and performance tuning
- +Multi-vendor delivery coordination across data center and cloud environments
- –Engagements can require significant coordination across large stakeholder groups
- –Modernization outcomes depend heavily on baseline application and infrastructure assessment quality
- –Program scope can become complex when business and platform timelines diverge
Large enterprises
Modernize fragmented applications and run processes
Defined migration and run processes
Low-code delivery teams
Deliver governed apps with release lifecycle
Production-ready low-code solutions
Show 2 more scenarios
Supply-chain enterprises
Modernize partner transaction exchange via EDI
Managed exchange processes
Supports EDI architecture, mapping, testing, ERP connectivity, partner migration, onboarding, and managed exchange support.
Security and compliance teams
Modernize data center with coordinated response planning
Coordinated response activities
Combines security architecture review, vulnerability assessment, remediation coordination, and incident response planning.
Best for: Enterprises modernizing hybrid data centers with large, multi-system transformation programs
Conclusion
After evaluating 10 data center modernization, Deloitte 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.
Frequently Asked Questions About Data Center Modernization Services
Which provider is best suited for portfolio-wide modernization across multiple data center sites?
How do Deloitte and IBM Consulting differ in governance and cutover-risk reduction for hybrid modernization programs?
Which service provider focuses most on hybrid migration work that combines application refactoring with compute, storage, and network modernization?
Which vendors bring strong operational readiness capabilities beyond infrastructure migration?
For organizations with multi-vendor environments, which modernization teams are designed to coordinate private cloud, hosted infrastructure, and public cloud connectivity?
What delivery model works best for teams that need an integrated approach to architecture, security, and execution management?
Which provider is strongest when data modernization includes analytics and data platform governance as part of cutover planning?
How do Infosys and Accenture handle infrastructure automation and standardized execution across large application portfolios?
Which providers are most appropriate for network and security modernization that reduces operational friction after migration?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
How to Choose the Right Data Center Modernization
Teams doing data center modernization usually notice the biggest differences in how safely they can modernize in place: data model and API extensibility, automation depth, and migration control each changes what gets changed and what stays stable. Options also diverge on auditability and RBAC for who can run jobs and see outcomes.
Data model and schema coverage
Why it matters
Data model and schema coverage determines whether the modernization workflow keeps context across discovery, dependency mapping, and planning without forcing manual spreadsheets. It also affects whether your team can reuse results across waves and tools.
How to check
Ask for a sample project export that shows the entities and relationships the tool tracks (workloads, dependencies, hosts, services). In a demo, import a small inventory and confirm the tool preserves custom tags or fields you expect to carry forward.
API and automation surface depth
Why it matters
API and automation surface depth is what lets modernization run repeatedly instead of as one-off clicks. It also decides how much of the workflow you can connect to existing orchestration and reporting.
How to check
Request an API walkthrough: endpoints for creating a run, updating configuration, and retrieving results. On a demo, attempt to trigger a job from an external script or automation workflow and verify responses return the same outputs the UI shows.
Provisioning workflow and change control
Why it matters
Provisioning workflow and change control matter because modernization often touches live infrastructure in controlled steps. If the tool can’t gate actions or track what changed, rollbacks and review become harder.
How to check
Ask how the tool stages actions (plan vs execute) and whether you can review a migration wave before it runs. In the demo, run a sample dry-run and confirm you get an actionable plan plus a clear summary of intended changes.
RBAC and audit log for modernization actions
Why it matters
RBAC and audit log for modernization actions ensure the right people can approve runs and later explain outcomes. This becomes critical when multiple teams share discovery results and execute changes.
How to check
Ask to see roles and permissions tied to actions like plan creation, execution, and result viewing. Trigger a test run and confirm the audit log records who started it, parameters, and links to outcomes.
Integration with existing inventory sources
Why it matters
Integration with existing inventory sources reduces rework during data center assessment and workload inventory. It also affects whether you trust the baseline before you plan modernization waves.
How to check
During a demo, bring a small export from your current inventory source and confirm how the tool maps identifiers and resolves mismatches. Ask what happens when data is partial and whether it flags gaps before planning.
Operational results reporting and traceability
Why it matters
Operational results reporting and traceability let teams verify what succeeded, what failed, and what dependencies were impacted. Without traceability, modernizations can drift from the plan across waves.
How to check
Run a sample migration plan and ask to see a results view that links each workload or dependency to execution status. Confirm the tool exports a report that can be reviewed by both operators and stakeholders without manual reconciliation.
Red flags
- It only works through clicks with no usable API or repeatable automation.
- It loses important inventory context or custom fields during imports and exports.
- Audit logs and RBAC don’t cover who ran modernization actions and with what parameters.
Fit by situation
- If we need to reuse assessment outputs across multiple modernization waves, prioritize data model and schema coverage.
- If we plan to launch modernization jobs from existing automation, prioritize API and automation surface depth.
- If multiple teams will approve and execute changes, prioritize RBAC and audit log for modernization actions.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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