Head-to-head · Cloud Visualization Tools
Hyperglance vs Hava
Hyperglance leads on 1 check, Hava on 1, and 1 is even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreHyperglance · 7.6/10
- Lowest starting priceHava · $59/mo
- Most featuresHyperglance · 1 of 1
Hyperglance scores higher on our rubric for cloud visualization tools: 7.6 against 7.1 out of 10; our editors rank them #5 and #7.
Hava is cheaper to start at $59/mo against $899/mo. Hyperglance offers live resource discovery; Hava doesn't publish it.
Hyperglance is the better fit for large enterprises needing governed inventory maps. Hava is the better fit for teams documenting multi-cloud infrastructure automatically.
- Hyperglance fits best
Large enterprises needing governed inventory maps
- Hava fits best
Teams documenting multi-cloud infrastructure automatically
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Side by side
| Feature | Hyperglance 7.6/10 Visit ↗ | Hava 7.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 7.6 | 7.1 |
| Ranking | #5 in Cloud Visualization Tools | #7 in Cloud Visualization Tools |
| Best for | Large enterprises needing governed inventory maps | Teams documenting multi-cloud infrastructure automatically |
| Pricing model | Paid | Paid |
| Starting price | $899/mo | $59/mo (best) |
| Free plan | — | — |
| Free trial | — | — |
| Free trial length | 14 days · no card needed | 14 days · no card needed |
| Deployment | Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Tickets, Docs, Email, Phone | Email, Live chat, Docs |
| Compliance | SSO/SAML | SOC 2, SSO/SAML, 2FA |
| Integrations | 10 integrations | 3 integrations |
| Built for | Small business, Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Hyperglance 1/1 · Hava 0/1 | ||
| Live resource discovery | ✓ (best) | Not published |
| Specs | ||
| Cloud providers | AWS, Azure, Google Cloud Platform, Kubernetes | Not published |
| Diagram updates | Automatic | Not published |
| Export formats | PNG, CSV, Visio/VSDX, PDF | PDF, PNG, VSDX, CSV, JSON |
| Deployment options | self-hosted | Not published |
| Cloud services mapped | Not published | Not published |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | Hyperglance gives FinOps, cloud, platform, and security teams an inventory view across AWS, Azure, Google Cloud Platform, and Kubernetes. It discovers resources and renders them as interactive architecture diagrams, then updates those… Read the review → |
Hava turns AWS, Azure, and Google Cloud environments into interactive infrastructure diagrams and documentation. Its audience includes cloud engineers, DevOps and security teams, consultants, and organizations managing multiple accounts or… Read the review → |
Strengths and trade-offs
Hyperglance — where it wins
- Automatically updates interactive diagrams as cloud environments change
- Overlays cost, tags, metrics, dependencies, and policy checks
- Exports to PNG, CSV, Visio/VSDX, and PDF; includes REST API and SAML SSO
Where it doesn't
- Annual plans start at $899 per month for up to 500 resources
- Resource-based pricing rises to $4,492 monthly for up to 5,000 resources
- Self-hosted deployment may not suit teams seeking a shared SaaS service
Hava — where it wins
- Generates diagrams across AWS, Azure, and GCP cloud accounts
- Offers infrastructure, security-group, list, and container views
- Exports to PDF, PNG, VSDX, CSV, and JSON
Where it doesn't
- Professional starts at $59 per month, with no free plan
- Professional includes 3 cloud-account sources and daily sync
- Professional version history covers 3 months
- Hyperglance7.6/10 · From $899/mo (annual) · 14-day trial
Hyperglance maps evolving cloud and Kubernetes estates, with annual pricing starting at $899 monthly.
Visit HyperglanceFull verdict → - Hava7.1/10 · From $59/mo · 14-day trial
Hava syncs AWS, Azure, and GCP environments into diagrams, with exports and version history.
Visit HavaFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026
Last updated · How we research and update





