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Comparison

Hava.io alternative for reviewing Azure changes before deployment

Hava continuously syncs cloud diagrams and version history. Cloudeval is an alternative when the team needs to know whether an Azure change is safe to ship before deployment, with findings and evidence in the pull request. The tools can complement each other.

Consider Cloudeval for

Catches risk before deployment.

Consider Hava.io for

Revision history shows what changed afterwards.

Try CloudevalReview current capabilities
Example Cloudeval review

Verdict for Azure pre-deployment review

  • Choose Cloudeval when you need to know whether an Azure change is safe to ship before deployment: it reviews ARM JSON, Bicep compiled to ARM JSON or live Azure, with findings from 1,650+ attributed checks, in the web app, CLI, GitHub Action or MCP.
  • Choose Hava when you want continuously synced cloud diagrams with version history.
  • Use both when Hava tracks what is deployed and Cloudeval reviews the change in the pull request first.

Last reviewed: 2026-10-19

Where Cloudeval is a strong fit

Understand the architecture and its dependencies

Explore architecture and dependency views, then inspect a resource and its properties.

Explore the diagram workflow

Connect a finding to the resource and evidence

Investigate supported findings alongside source context, resource details and coverage.

Investigate a finding

Ask AI questions with project context

Ask about resources and report findings using the context already in your project.

Understand an inherited Azure environment

Carry the review into your team's workflow

Use CLI/MCP workflows and export diagrams or available report evidence for your team.

Explore review exports

When Hava is the better choice

Choose Hava when you want continuously synced cloud diagrams with version history.

When Cloudeval is the better choice: stop the change before it reaches the diagram

Choose Cloudeval when the decision is whether an Azure change should ship, using ARM JSON, Bicep compiled to ARM JSON, or live Azure.

Using both: Hava for the live picture, Cloudeval as the PR gate

Hava tracks what is deployed. Cloudeval reviews the change in the pull request first.

Last reviewed: 2026-10-19. See all comparisons.

Compare the workflows

Cloudeval’s comparison of documented workflows. Strong fit means a match for the named task, not a measured superiority claim. Verify exact coverage and plan requirements using the sources below.

Strong fitStrong fitVerify fitVerify for your workflowNot a fitWeak fit

Architecture and resource relationships

Cloudeval
Strong fitGenerate architecture and dependency views from supported project inputs; select resources to inspect properties and relationships.
Hava.io
Strong fitAutomatically discovers AWS, Azure and GCP infrastructure and visualizes resources, connections and security layers.

Template review before deployment

Cloudeval
Strong fitImport ARM JSON, compiled Bicep or supported CloudFormation beta templates. Inspect represented resources before deployment.
Hava.io
Verify fitCompare the template input you need with the documented diagram/import workflow; do not assume IaC assessment parity.

Findings and source evidence

Cloudeval
Strong fitInvestigate supported findings alongside affected resources, source context and available rule evidence. Check actual assessment coverage.
Hava.io
Verify fitSecurity visualization helps investigate exposure; verify rule-level assessment and source-evidence requirements separately.

Project-aware AI investigation

Cloudeval
Strong fitAsk about selected resources, dependencies and available report findings; inspect supporting references where present.
Hava.io
Verify fitVerify the specific AI question and project/report grounding workflow; visualization alone does not establish equivalence.

CLI, APIs and AI-agent access

Cloudeval
Strong fitUse supported CLI project/report workflows and MCP tools for project, graph, report and chat context.
Hava.io
Strong fitProvides API, CLI and CI/CD automation for diagram updates. Verify any MCP requirement separately.

Review exports and handoff

Cloudeval
Strong fitExport diagrams as PNG/JPEG/SVG and available reports as PDF/Markdown/JSON. Preserve source revision and assessment time.
Hava.io
Strong fitExports PDF/PNG, editable VSDX diagrams, and resource settings as CSV or JSON.

Provider and input scope

Cloudeval
Verify fitAzure sync and ARM-derived projects; CloudFormation static review is beta. These do not imply live AWS or GCP parity.
Hava.io
Strong fitDiscovers AWS, Azure and GCP environments, with security and container visualization.

Primary buying decision

Cloudeval
Strong fitStrong fit when diagrams, findings, source context and AI questions need to support the same architecture review.
Hava.io
Strong fitAutomatic updates, version history and diagram revision comparisons are documented strengths.
CriteriaCloudevalHava.io
Architecture and resource relationships
Strong fitGenerate architecture and dependency views from supported project inputs; select resources to inspect properties and relationships.
Strong fitAutomatically discovers AWS, Azure and GCP infrastructure and visualizes resources, connections and security layers.
Template review before deployment
Strong fitImport ARM JSON, compiled Bicep or supported CloudFormation beta templates. Inspect represented resources before deployment.
Verify fitCompare the template input you need with the documented diagram/import workflow; do not assume IaC assessment parity.
Findings and source evidence
Strong fitInvestigate supported findings alongside affected resources, source context and available rule evidence. Check actual assessment coverage.
Verify fitSecurity visualization helps investigate exposure; verify rule-level assessment and source-evidence requirements separately.
Project-aware AI investigation
Strong fitAsk about selected resources, dependencies and available report findings; inspect supporting references where present.
Verify fitVerify the specific AI question and project/report grounding workflow; visualization alone does not establish equivalence.
CLI, APIs and AI-agent access
Strong fitUse supported CLI project/report workflows and MCP tools for project, graph, report and chat context.
Strong fitProvides API, CLI and CI/CD automation for diagram updates. Verify any MCP requirement separately.
Review exports and handoff
Strong fitExport diagrams as PNG/JPEG/SVG and available reports as PDF/Markdown/JSON. Preserve source revision and assessment time.
Strong fitExports PDF/PNG, editable VSDX diagrams, and resource settings as CSV or JSON.
Provider and input scope
Verify fitAzure sync and ARM-derived projects; CloudFormation static review is beta. These do not imply live AWS or GCP parity.
Strong fitDiscovers AWS, Azure and GCP environments, with security and container visualization.
Primary buying decision
Strong fitStrong fit when diagrams, findings, source context and AI questions need to support the same architecture review.
Strong fitAutomatic updates, version history and diagram revision comparisons are documented strengths.

Choose Cloudeval for findings, source context and AI-assisted review. Choose Hava for multi-cloud discovery, automatic diagram updates and revision comparisons.

Try the workflow with one environment

  1. 1.

    Separate current-state documentation from proposed-change review.

  2. 2.

    Run one representative Azure IaC review in Cloudeval.

  3. 3.

    Compare findings and evidence with your deployed diagram history.

  4. 4.

    Use both when the workflows are complementary.

AI Guide

Test the review path, not only the diagram

Use AI Guide on the same representative project you use for this comparison. It frames the relevant resources, keeps architecture and dependency context visible, and connects each chapter to evidence and a next check.

Personas adjust the emphasis for executive, architecture, security, or operations reviews. They do not change the available project evidence.

See how AI Guide works
Cloudeval Playground Dependency view with AI Guide ready to investigate resource relationships
Real Playground capture. A guide explains available project evidence; it does not prove runtime traffic, health, or ownership.

Further reading

all comparisons

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Hava.io resources

  • Hava product
  • Hava pricing
  • Hava GitHub sync

Cloudeval documentation

  • Cloudeval GitHub Actions
  • Cloudeval coverage
  • Review IaC before deployment
  • Capabilities map

Frequently asked questions

Not for every workflow. Hava is stronger for continuously synced multi-cloud diagrams and history; Cloudeval is stronger for Azure IaC review before deployment.
Yes. Use Hava for the deployed estate and Cloudeval for the proposed change before it reaches that estate.
No. AWS support is limited to static CloudFormation beta; there is no live AWS connection.
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CloudevalCloudeval AI

AI Agents Engineered for Cloud. Visualize, understand, and optimize your cloud infrastructure with intelligent automation.

Made in India 🇮🇳 for the world! 🌍❤️

Follow Us

Get started

  • Features
  • Pricing
  • Changelog

Resources

  • Blog
  • Sample reports
  • Documentation
  • Support

Legal

  • Terms & Conditions
  • Privacy Policy
  • Refund Policy
  • Delivery Policy

Company

  • About Us
  • Contact Us
  • Careers
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