Hybrid Cloud Migration Providers: 15 Options Compared (System Integrators, MSPs, Boutique Firms, and Platform Tools)

Most people who ask me for a hybrid cloud migration provider are really asking two questions at once: who moves the estate, and who runs it afterward. Those are different companies with different incentives, and treating them as one line item is how a clean lift turns into a two-year mess. Below is the actual list, grouped so you can staff both jobs.

Key takeaways

• Hybrid cloud migration providers fall into five categories: global system integrators (Accenture, Wipro, Infosys, HCLTech, Capgemini, TCS, Cognizant, Deloitte), managed service providers (Rackspace Technology, Kyndryl, Ensono), cloud vendor professional services and funded programs (AWS Professional Services with the Migration Acceleration Program, Google Cloud Consulting, Microsoft's Azure Migrate and Modernize), boutique and nearshore consultancies (Trigma, Peeklogic, instinctools), and the platform layer that runs the estate afterward (Qovery, Terraform/OpenTofu, Crossplane, Azure Arc, Google Distributed Cloud, Backstage).
• Match the provider to the shape of the estate: above roughly 1,000 VMs, or with a mainframe and regulated audit trails, choose a global SI; for long-term outsourced run duty choose an MSP such as Rackspace Technology or Kyndryl; for application and Kubernetes modernization in the $50k-$500k range choose a boutique firm plus an internal developer platform.
• Budget bands to plan against: boutique app modernization typically runs $50k-$500k, a mid-size datacenter exit runs low single-digit millions, and multi-thousand-VM regulated programs run tens of millions. The largest hybrid-specific line item is the dual-running period, where you pay for both estates during every wave.
• Hybrid migrations usually fail at the day-2 handover, not the lift. If nobody owns deployments, environment lifecycle, cluster upgrades, RBAC, and cost after go-live, the consultancy's Terraform becomes your team's backlog within a quarter.
• Qovery is not a consultancy and does not do datacenter exits, VM lift-and-shift, mainframe modernization, or network re-architecture. It is the platform layer that runs apps in your own AWS, GCP, Azure, or Scaleway account, or on your existing Kubernetes cluster including self-managed and on-prem, so one deployment path covers both sides of a hybrid estate and the cloud bill plus committed-use discounts stay in your name.

Who are the main hybrid cloud migration providers in 2026?

Hybrid cloud migration providers fall into five categories: global system integrators (Accenture, Wipro, Infosys, HCLTech, Capgemini, TCS, Cognizant, Deloitte), managed service providers (Rackspace Technology, Kyndryl, Ensono), cloud vendor professional services and funded programs (AWS Professional Services with the Migration Acceleration Program, Google Cloud Consulting, and Microsoft's Azure Migrate and Modernize), boutique and nearshore consultancies (Trigma, Peeklogic, instinctools), and the platform layer you keep running the estate afterward (Qovery, Terraform/OpenTofu, Crossplane, Azure Arc, Google Distributed Cloud, VMware Cloud Foundation, Backstage). Most buyers need two of these, not one: someone to move the workloads and something to run them once the movers are gone.

Global system integrators are the choice for multi-year, multi-thousand-VM programs in regulated industries, with datacenter and mainframe exits and change management included. These are genuinely large delivery organizations: Accenture reported $69.7 billion in revenue and 779,000 employees in fiscal 2025 (Accenture FY25 results), and TCS ran 607,979 employees at the close of fiscal 2025 (TCS Q4 FY25 results). That scale is exactly what you pay for on a regulated datacenter exit, and exactly what you overpay for on a 40-app modernization.

Managed service providers win when you want someone else to own run duty long-term across colocation plus public cloud. Kyndryl, spun out of IBM, reported $15.1 billion in revenue in fiscal 2025 (Kyndryl 10-K), and Rackspace Technology reported $2.74 billion in 2024 (Rackspace FY24 results). You trade change velocity for not having to hire an operations team.

Cloud vendor professional services matter mostly because of funding. The AWS Migration Acceleration Program runs a three-phase structure (Assess, Mobilize, Migrate and Modernize) and funds tools, training, and migration incentives alongside partner labor (AWS MAP); Microsoft's Azure Migrate and Modernize funds assessment, Azure credits, and partner delivery (Azure Migrate and Modernize). The catch is single-cloud gravity: a program that pays you to move toward one cloud will pull the whole estate that way.

Boutique and nearshore consultancies such as Trigma, Peeklogic, and instinctools deliver app refactoring and Kubernetes work faster and cheaper, typically in the $50k-$500k band, and they are honestly weaker on 5,000-VM datacenter exits. The platform and tooling layer you keep afterward (Qovery, Terraform/OpenTofu, Crossplane, Azure Arc, Google Distributed Cloud, Backstage) is not a mover at all; it is what your team uses to deploy and operate the estate on day 90. You can self-select in under 30 seconds: pick the mover row that matches your estate size and constraints, then pick a runner from the platform rows.

What counts as a hybrid cloud migration, and why does the provider category change with the project shape?

Hybrid cloud migration covers four structurally different projects, and the correct provider category flips completely depending on which one you have: a datacenter exit with a compliance tail that keeps some workloads on-prem for good, an application modernization onto Kubernetes while the datacenter stays put, a post-acquisition multi-cloud consolidation where you inherit two control planes, and a set of data-gravity workloads that will never leave the floor. A workable definition is simple: workloads split across on-prem or colo and one or more public clouds, sharing identity, networking, and a consistent deployment path. Get the shape wrong and you will hire the wrong category and pay for it twice.

Shape 1, the datacenter exit with a permanent on-prem tail, is SI or MSP territory because the hard part is compliance, sequencing, and mainframe, not the VM copy. Shape 2, app modernization onto Kubernetes with the datacenter staying put, is boutique-plus-platform territory. Shape 3, multi-cloud after an acquisition, is a control-plane problem, not a migration; you already run both clouds and need one deployment path across them. Shape 4, data-gravity and latency workloads (edge, manufacturing, trading, medical imaging), will never leave the floor, so the job is connectivity and a consistent operating model, not relocation.

Hybrid is the steady state, not a phase you pass through. In its 2026 State of the Cloud report, Flexera found 73% of respondents using hybrid cloud (Flexera 2026), and Uptime Institute's 2025 Global Data Center Survey found 45% of enterprise IT workloads still running in corporate facilities (Uptime Institute 2025). Traffic also runs backward: Flexera's 2025 report found about one-fifth of workloads had already been repatriated from public cloud (Flexera 2025). That is why hybrid provider selection now needs a bidirectional plan, not a one-way ticket to a single cloud, even as Gartner forecasts worldwide public cloud spending will hit $723.4 billion in 2025 (Gartner).

The parts that actually break a hybrid migration are network routing and DNS, identity federation across two planes, deployment consistency, and observability that spans both sides. The VM copy is the easy 20%. For shape 2 in particular, the destination is Kubernetes: CNCF's 2024 Annual Survey put Kubernetes production use at 80%, up from 66% a year earlier (CNCF 2024), and the top reported challenges shifted toward cultural change, CI/CD, and lack of training rather than the raw install. That is the tell that shape 2 needs a platform owner, not just a migration crew.

How do you choose between a global SI, an MSP, a cloud vendor ProServe team, and a boutique consultancy?

Match provider scale to estate scale, and match provider incentive to the operating model you want on day 90. Above roughly 1,000 VMs, or with a mainframe, regulated audit trails, or works-council sign-off in play, choose a global SI such as Accenture, TCS, Capgemini, or Cognizant; for app refactoring and Kubernetes work in the $50k-$500k band, choose a boutique such as Trigma, Peeklogic, or instinctools plus a platform layer; for long-term outsourced run duty, choose an MSP such as Rackspace Technology, Kyndryl, or Ensono and accept ongoing managed fees plus slower change velocity. Choose a cloud vendor ProServe team when program funding materially changes the business case, and go in knowing you are accepting single-cloud gravity in exchange.

The incentive question is the one nobody asks out loud: a firm that bills for run-time has no commercial reason to make your team self-sufficient. An SI paid by the program-month optimizes for a longer program. An MSP paid to operate optimizes for you never operating it yourself. Neither is dishonest; it is just how the contract is shaped, and it is why the day-90 operating model has to be a written deliverable, not a hope.

Which category is usually the wrong answer matters as much as the right one. A global SI is the wrong answer for a 30-app Kubernetes refactor, where the governance overhead alone exceeds a boutique's whole fee. A boutique is the wrong answer for a 5,000-VM regulated datacenter exit, where you need audit trails and change management they cannot staff. An MSP is the wrong answer when your real goal is developer self-service, because you will have outsourced the exact muscle you were trying to build. Partner competency badges (AWS Migration Competency, Google Cloud partner tiers, Microsoft Solutions Partner designations) are a useful floor for weeding out inexperience, and a weak signal for actual delivery quality; the named team on your account decides that.

Put these eight questions in the RFP, in writing, and score the answers: (1) Who owns deployments, clusters, and cost on day 90? (2) Who owns the infrastructure-as-code and its IP when you part ways? (3) Who holds the cloud account and the committed-use discounts, us or you? (4) What is the exit clause and the knowledge-transfer plan? (5) Which named people stay on the account for the whole engagement? (6) What exactly is in and out of scope on-prem? (7) What is the environment-lifecycle deliverable (preview environments, staging, promotion)? (8) What cost baseline do you commit to, and how is it measured? If a provider dodges question 3 or 8, you have your answer.

What do hybrid cloud migrations cost, how long do they take, and how often do they overrun?

Three-quarters of cloud migrations run over budget: McKinsey's survey of roughly 450 CIOs found 75% over budget, with more than $100 billion in wasted spend across three years (McKinsey, 2021). Organizations still waste about 29% of their cloud spend, and in its 2026 report Flexera flagged that as the first increase in five years (Flexera 2026). Much of that waste is non-production environments left running nights and weekends, which is money you burn for zero users.

The cost anatomy of a hybrid migration, line by line: discovery and dependency mapping, refactoring labor, the dual-running period, data egress, license re-hosting, and the ongoing platform-ops cost almost nobody budgets. Dual-running is the largest silent line item specific to hybrid, because you pay for both estates during every wave; a datacenter you have not yet vacated keeps billing while the cloud target spins up. Sequence the waves to shorten the overlap and you save more than any per-VM discount will give you.

Hybrid connectivity is a real, recurring line you can price today. AWS Direct Connect lists a 1 Gbps dedicated port around $0.30 per hour (roughly $219 a month) and a 10 Gbps port around $2.25 per hour (roughly $1,642 a month) (AWS Direct Connect pricing); Google Cloud Dedicated Interconnect lists a 10 Gbps circuit around $1,700 a month plus about $72 a month per VLAN attachment (Google Cloud Interconnect pricing); Azure ExpressRoute charges a fixed monthly port fee plus per-GB egress on its metered plan, or a larger flat fee for unlimited (Azure ExpressRoute pricing). On top of the pipe, standard internet egress sits around $0.09 per GB on AWS after the free tier (AWS pricing), and moving petabytes back and forth between planes adds up fast.

Price the day-2 run team honestly. The US median wage for software developers, the closest official category for platform and DevOps engineers, was $133,080 in BLS's May 2024 data (BLS); fully loaded with benefits and overhead, a platform engineer runs comfortably north of that, and Kubernetes forces the spend to be recurring because managed clusters age out. AWS EKS gives a version 14 months of standard support, and with upstream Kubernetes shipping about three releases a year (Kubernetes releases), you are upgrading every cluster once or twice a year just to stay supported (Amazon EKS versions).

Timeline bands, stated as ranges with the assumption spelled out: under 100 apps with light refactoring lands in one to two quarters; 100-1,000 VMs runs 6-18 months; 1,000-plus VMs runs 12-36 months; a mainframe in the mix pushes past that and rarely finishes on the first estimate. And one factual point on ownership: if the provider holds the cloud account, you lose committed-use discount ownership, the FinOps baseline, and negotiating leverage at renewal. Keep the account in your name.

Who runs the hybrid environment after the migration provider leaves?

Day-2 ownership is where hybrid migrations fail, and a handover of Terraform modules plus a Confluence page is a document set, not an operating model. Someone on your team has to own deployments, environment lifecycle, cluster upgrades, the RBAC model, cost controls, and on-call from go-live day one. If nobody does, the consultancy's clean infrastructure-as-code becomes your backlog inside a quarter, and the estate quietly rots between upgrades.

The typical handover artifact list looks complete and is not: Terraform or Helm repos, a network diagram, a runbook, some dashboards. What is missing is the deployment workflow developers actually use, the environment lifecycle for staging and previews, the cluster upgrade path, the RBAC model per team, cost guardrails, and a real on-call rotation. The warning signs that you are about to inherit a problem are specific: undocumented Helm charts, exactly one person who understands the networking, no preview-environment story, and no upgrade rehearsal on the calendar.

The industry has a name for the response to this gap. Gartner predicted that by 2026, 80% of large software engineering organizations would have platform engineering teams, up from 45% in 2022 (Gartner). DORA's 2024 research found that adopting an internal developer platform improves individual productivity and team performance, with a real caution that a poorly implemented platform can dent throughput and stability, so implementation quality matters (DORA 2024). Fund the platform phase before go-live, not after, or you will pay for it as an outage.

This is where Qovery fits, and it is complementary to a consultancy rather than a replacement for one. Qovery runs on your own AWS, GCP, Azure, or Scaleway account, or on your existing Kubernetes cluster including self-managed and on-prem, so the same deployment path works on both sides of a hybrid estate. Its named capabilities are git-push deployments, preview and ephemeral environments per pull request, environment auto-stop for non-production (which directly attacks that 29% waste figure), managed cluster upgrades, per-environment RBAC, and databases backed by managed cloud services.

Let me be blunt about the limits so the rest is credible: Qovery does not do datacenter exits, VM lift-and-shift, mainframe modernization, network re-architecture, or change management. Pair it with a provider from the list above. A concrete day-90 ownership matrix looks like this: the mover (SI or boutique) owns the migration waves and hands off; your team owns application code and release decisions; Qovery owns the deployment path, environment lifecycle, and cluster upgrades; you own the cloud account, the bill, and the commitments; and on-call is your team, backed by the platform's guardrails rather than a hero who remembers the networking.

How do platform tools compare to migration consultancies and managed services for hybrid cloud?

These are different layers, not competing purchases: consultancies move the estate, MSPs rent you an operations team, and platform tools give your developers a deployment path. The seven realistic operating models are a global SI program, an MSP run contract, cloud vendor ProServe, DIY Kubernetes plus Terraform/OpenTofu, a Backstage-based internal platform, Azure Arc or Google Distributed Cloud control planes, and Qovery. Compare them on the dimensions that actually decide headcount and exit risk, not on feature checklists.

Hybrid is by definition not one cloud, so multi-cloud parity is a first-class dimension, and it is where Qovery is deliberately neutral: AWS, GCP, Azure, Scaleway, and bring-your-own-Kubernetes (self-managed and on-prem) are supported equally, and the cloud account, the bill, and any committed-use discounts or Savings Plans stay in your name (BYOC). That neutrality is the whole point on a hybrid estate, because the moment your platform assumes one cloud, the other side of the estate becomes a second-class citizen.

Be fair about where each genuinely wins. DIY Kubernetes plus Terraform wins for air-gapped environments, highly bespoke networking, or an existing strong platform team with real capacity; it is the wrong call only when headcount is the constraint. Backstage wins for large organizations that already employ platform engineers and want a catalog and portal over their own automation. Azure Arc and Google Distributed Cloud win for fleet governance and policy across estates you already run, especially inside an existing Microsoft or Google agreement.

The cost-of-ownership framing that decides it is headcount. DIY's real price is the two-to-five engineers who build and maintain the platform, each fully loaded well above the $133,080 US median software-developer wage (BLS), running forever. Compare that recurring salary line against a platform licence plus your cloud bill before you conclude that building it yourself is cheaper, because on most teams it is not.

What does a realistic hybrid cloud migration plan look like, phase by phase, with the right provider at each stage?

A realistic hybrid migration runs in five phases, each with a different owner: discovery and dependency mapping (SI or boutique, 4-8 weeks), landing zone and hybrid connectivity (cloud ProServe or SI, 4-8 weeks), wave migration (boutique or SI depending on volume, months), platform and self-service (installed here, not later), and optimization plus FinOps (ongoing). The point of naming them separately is that you can assemble a shortlist of three suppliers instead of buying one giant contract, and you keep leverage at every stage.

Phase 1, discovery and dependency mapping, is SI or boutique work over 4-8 weeks, and the exit criterion is an app-by-app disposition: retain, rehost, replatform, refactor, or retire. Phase 2, landing zone, identity, and hybrid connectivity, is cloud ProServe or SI work, and the Direct Connect, ExpressRoute, or Interconnect decision gets made here with the pricing above in front of you. Phase 3, wave migration, is boutique or SI depending on volume, and the exit criterion is boring on purpose: waves small enough to roll back inside a single maintenance window.

Phase 4, platform and self-service, is where you install the deployment layer, and the exit criterion is that a developer can ship to both sides of the estate without filing a ticket. Phase 5, optimization and FinOps, is ongoing: rightsizing, commitments, shutting down idle non-production, and tagging plus showback so cost has an owner. The sequencing mistake I see most often is leaving the platform decision to phase 5, which forces a second migration and a second budget request when the team realizes the handover was a document set, not an operating model.

If you want the shortest viable shortlist, buy one mover, one runner, and one platform: a mover such as an SI (Accenture, TCS, Capgemini) or a boutique (Trigma, Peeklogic, instinctools) sized to your estate, a runner if you want operations outsourced (Rackspace Technology, Kyndryl, Ensono) or your own team if you do not, and a platform layer (Qovery, or a Backstage build if you already have platform engineers) so the estate has a deployment path the day the movers leave.