According to Gartner's 2026 report, organizations seeking to modernize their VMware environments have 7 strategic technology alternatives, each tailored to different business and technical needs:
These alternatives can be implemented on-premises, in the cloud, or as hybrid solutions. The multipronged approach matches each workload to the platform that best supports it.
Gartner's framing of 7 alternatives rather than a single recommended path reflects the diversity of enterprise workload requirements. No single platform optimally supports all workload types. A typical enterprise has a mix of legacy applications (suited to lift-and-shift or replatform), modern cloud-native applications (suited to containers or PaaS), data-intensive workloads (suited to private cloud or DHI), and edge or specialized workloads (suited to HCI or open-source). The 7 alternatives provide a framework for matching workloads to platforms.
HCI consolidates compute, storage, and networking into a unified platform, simplifying management and reducing the operational complexity that contributed to VMware's lock-in. HCI is well-suited for enterprises that want a VMware-like operational model but on alternative infrastructure. HCI typically delivers the fastest migration with the least retraining cost.
KVM and OpenStack provide open-source alternatives to proprietary virtualization and cloud stacks. They reduce dependency on any single vendor and offer customization flexibility. However, they require more operational expertise and longer ramp-up time. Open-source is best suited for enterprises with strong in-house technical teams and strategic concerns about vendor lock-in.
Public cloud IaaS (AWS, Azure, Google Cloud) provides elastic scalability and a broad service catalog. It is well-suited for workloads with variable demand, new application development, and enterprises pursuing a cloud-first strategy. Cost discipline is critical, as public cloud TCO can exceed on-premises TCO for stable workloads.
SaaS and PaaS solutions enable application refactoring with the least infrastructure management overhead. This is the most aggressive modernization path, often involving rewriting or replacing applications. The trade-off is significant change management and potential business process disruption. SaaS/PaaS is best suited for non-differentiating applications where the enterprise is willing to trade control for reduced operational burden.
Private cloud IaaS offers more control and compliance than public cloud while providing cloud-like flexibility. It is well-suited for regulated industries (finance, healthcare, government) where data sovereignty, regulatory compliance, or security requirements limit public cloud adoption.
DHI is a mix of on-premises, private, and public cloud resources designed to meet varied workload needs through workload portability and consistent governance. DHI is the default architecture for the future state described in Gartner's report. It is well-suited for enterprises with diverse workload portfolios and a strategy of placing each workload in its optimal environment.
Kubernetes-based container management platforms support modern application deployment and operations. They are best suited for cloud-native applications, microservices architectures, and workloads that benefit from declarative automation and rapid scaling. Container platforms complement (rather than replace) the other 6 alternatives for legacy and specialized workloads.
Gartner does not prescribe a single path. The choice depends on workload mix, regulatory environment, in-house skills, capital structure (capex vs opex preference), and strategic priorities. Most enterprises will adopt 2-3 of these paths in combination, matching workloads to platforms. The 5R migration strategies (Q012) provide the workload-level decision framework, while the 7 paths provide the platform-level options.
← Q001 | Q002 | Q003 | Q004 | Q005 | Q006 | Q007 | Q008 | Q009 | Q010 | Q011 | Q012 →
Arcfra simplifies enterprise cloud infrastructure with a full-stack, software-defined platform built for the AI era. We deliver computing, storage, networking, security, Kubernetes, and more — all in one streamlined solution. Supporting VMs, containers, and AI workloads, Arcfra offers future-proof infrastructure trusted by enterprises across e-commerce, finance, and manufacturing. Arcfra is recognized by Gartner as a Representative Vendor in full-stack hyperconverged infrastructure. Learn more at www.arcfra.com.