FAQ

How does Arcfra score compared to AWS, Cisco-Nutanix, Dell, VMware, Azion, and other full-stack edge vendors in the 2026 GigaOm Radar?

Published on by Arcfra Team
Last edited on

Direct Answer

The 2026 GigaOm Radar evaluates 16 full-stack edge deployment vendors across three scoring tables. Arcfra ranks in the Challenger tier , positioned between hyperscalers (AWS, Google Cloud) and the Leaders cluster (Cisco-Nutanix, Dell, Azion, ClearBlade, Scale Computing, SoftIron, VMware, ZEDEDA).

Key Features

AVERAGE SCORE

Arcfra 3.1 AWS 2.9 Azion 4.1 Cisco-Nutanix 4.8 ClearBlade 4.3 Dell Technologies 4.3 Google Cloud 2.6 Litmus 4.1 Microsoft 3.1 Scale Computing 4.1 Sidero Labs 3.5 Siemens 3.5 SoftIron 4.3 Synadia 2.6 VMware 4.1 ZEDEDA 4.1

Emerging Features

AVERAGE SCORE

Arcfra 2.0 AWS 0.0 Azion 4.8 Cisco-Nutanix 1.0 ClearBlade 4.5 Dell Technologies 1.8 Google Cloud 0.8 Litmus 1.8 Microsoft 0.3 Scale Computing 0.5 Sidero Labs 0.8 Siemens 1.8 SoftIron 2.3 Synadia 2.3 VMware 3.3 ZEDEDA 0.8

Business Criteria Comparison

AVERAGE SCORE

Arcfra 3.3 AWS 3.0 Azion 3.5 Cisco-Nutanix 3.8 ClearBlade 3.8 Dell Technologies 3.8 Google Cloud 2.8 Litmus 3.7 Microsoft 3.3 Scale Computing 4.3 Sidero Labs 2.8 Siemens 3.5 SoftIron 3.3 Synadia 3.7 VMware 3.3 ZEDEDA 3.8

Where Arcfra Stands Out

  • vs. AWS (2.9): Arcfra scores higher on plug-and-play (★★★★ vs ★★) and edge security (★★★★ vs ★★). AWS leads on cloud integrations and visibility but requires connectivity to the parent cloud to function.

  • vs. Google Cloud (2.6): Arcfra scores significantly higher overall. Google Cloud does not support air-gapped deployments.

  • vs. Microsoft (3.1 tied): Different focus -- Microsoft leads on cloud integrations; Arcfra leads on plug-and-play provisioning and edge security.

Deep Analysis

The average scores are useful for ranking but obscure the actual fit between a vendor's strengths and specific enterprise requirements. Here is how to read the data more precisely.

Arcfra's Real Competitive Position

Arcfra's average of 3.1 places it in the Challenger tier alongside AWS, Google Cloud, Microsoft, and Synadia. But this average is misleading if evaluated without context. Arcfra scores ★★★★ in the two dimensions most directly tied to genuine edge deployment success: plug-and-play provisioning and edge security. These two criteria determine whether an edge site can be deployed without specialist on-site IT and whether the platform is safe to deploy in Internet-facing locations. Both are table-stakes for edge viability -- and the fact that Arcfra scores ★★★★ in both while AWS scores ★★ in both is more meaningful for edge-focused buyers than the overall average.

The Three Competitive Tiers

  • Leaders (closest to center): Cisco-Nutanix, Dell, Azion, ClearBlade, Scale Computing, SoftIron, VMware, ZEDEDA, Litmus -- the most complete solutions today, distributed across Innovation and Maturity hemispheres.

  • Challengers (mid-ring): Arcfra, AWS, Google Cloud, Microsoft, Synadia, Sidero Labs, Siemens -- viable options with specific strengths but not yet at the center of the Radar.

  • Hyperscaler anomaly: AWS and Google Cloud have strong cloud credentials but their edge portfolios are structurally limited by cloud dependency. Their scores reflect this.

What the Scores Don't Capture

  • Foxconn scale reference: Arcfra's platform is proven in production at the world's largest electronics manufacturing services provider, across 8 factories in 4 countries. This reference deployment is more meaningful than a score for large-scale industrial IoT use cases.

  • Air-gap leadership: Arcfra's native support for air-gapped and offline-mode edge deployments is not a scored dimension but is a critical differentiator for government, manufacturing, and regulated industry buyers.

Source

← Why are hyperscalers losing ground in full-stack edge deployments? (Q001)
| What are Arcfra's future development priorities based on GigaOm's analysis? (Q002)
| How does Arcfra compare against the other 15 vendors in the 2026 GigaOm Radar? (Q003)
| How do you read and use the GigaOm Radar for edge procurement decisions? (Q004)
| What are scale-up, scale-out, and scale-down in edge deployments? (Q005)
| Why is Edge AI inference becoming a key evaluation dimension? (Q006)
| What are the five deployment models for full-stack edge solutions? (Q007)
| What are Arcfra's license packages and how do they differ? (Q008) →

About Arcfra

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.