Head-to-head · Data Center Fabric Software
Arista CloudVision vs Nokia Fabric Services System
Arista CloudVision leads on 0 checks, Nokia Fabric Services System on 0, and 4 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreArista CloudVision · 9.3/10
- Most featuresNokia Fabric Services System · 3 of 4
Arista CloudVision scores higher on our rubric for data center fabric software: 9.3 against 8.9 out of 10; our editors rank them #1 and #4.
On deployment model, Arista CloudVision gives you Hybrid where Nokia Fabric Services System offers On-premises.
Arista CloudVision is the better fit for large Arista data-center fabrics. Nokia Fabric Services System is the better fit for teams operating intent-based Nokia SR Linux fabrics.
- Arista CloudVision fits best
Large Arista data-center fabrics
- Nokia Fabric Services System fits best
Teams operating intent-based Nokia SR Linux fabrics
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Side by side
| Feature | Arista CloudVision 9.3/10 Visit ↗ | Nokia Fabric Services System 8.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.3 | 8.9 |
| Ranking | #1 in Data Center Fabric Software | #4 in Data Center Fabric Software |
| Best for | Large Arista data-center fabrics | Teams operating intent-based Nokia SR Linux fabrics |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Self-hosted |
| Platforms | Web | Web |
| Integrations | 6 integrations | 1 integrations |
| Built for | Mid-market, Enterprise | Mid-market, Enterprise |
| Features Arista CloudVision 1/4 · Nokia Fabric Services System 3/4 | ||
| Fabric automation | Not checked yet | ✓ (best) |
| Multi-vendor management | Not checked yet | — |
| Fabric assurance | Not checked yet | ✓ (best) |
| API access | ✓ | ✓ |
| Specs | ||
| Supported fabrics | Not checked yet | leaf-spine, backbone, border leaf, EVPN-capable SR Linux fabrics |
| Deployment model | Hybrid | On-premises |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Arista CloudVision brings network visibility, telemetry and operational controls into a management platform for enterprise data centers, campus networks, WAN and multi-cloud environments. Its feature set is especially relevant to… Read the review → |
Nokia Fabric Services System is an on-premises automation and operations toolkit for data-center fabrics built on supported Nokia SR Linux hardware. It is aimed at mid-market and enterprise teams that want to define fabric behavior as… Read the review → |
Strengths and trade-offs
Arista CloudVision — where it wins
- Combines topology views, endpoint analysis and real-time telemetry.
- Controls configuration changes, snapshots, upgrades and rollback workflows.
- Supports WAN policy management plus REST and gRPC APIs.
Where it doesn't
- Requires contacting sales for pricing.
- Its broad scope may exceed the needs of smaller or simpler networks.
- CloudVision is centered on Arista network operations.
Nokia Fabric Services System — where it wins
- Models leaf-spine, backbone, workload VPN, and maintenance intents
- Digital Sandbox simulation and deployment rollback support change control
- Health, alarms, topology deviations, and REST/OpenAPI access aid operations
Where it doesn't
- Designed for Nokia SR Linux fabrics, not multi-vendor management
- Customer-managed on-premises deployment requires VMware vSphere or KVM infrastructure
- Sales-led licensing makes public price comparisons difficult
- Arista CloudVision9.3/10 · Pricing on request
A broad operations suite for visibility, configuration control and fabric automation.
Visit AristaFull verdict → - Nokia Fabric Services System8.9/10 · Pricing on request
Design, simulate, deploy, and monitor SR Linux fabrics with intent-based workflows.
Visit NokiaFull verdict →
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All data center fabric software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update



