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Apache CloudStack VS Cloudeval AI

Compare Apache CloudStack VS Cloudeval AI and see what are their differences

Apache CloudStack

CloudStack is an open source cloud computing software for creating, managing, and deploying infrastructure cloud services.

Rating
0 reviews
Pricing
Open source
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Cloudeval AI

Cloudeval AI reviews ARM templates, Bicep (compiled to ARM) and AWS CloudFormation (beta) before you deploy, and audits live Azure environments, with architecture diagrams plus cost, security and Well-Architected findings from 1,650+ checks.

Rating
0 reviews
Pricing
Open source Freemium Free trial $19 / Monthly
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Alternatives Is it good?
ASocks
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Which is more popular?

Based on our record, Apache CloudStack seems to be more popular. It has been mentioned 7 times since March 2021.

social mentions
7 vs 0
Cloud Computing popularity
88% vs 12%
alternatives listed
87 vs 7

Base details

Website, pricing, platforms and company facts side by side.

Apache CloudStack
Cloudeval AI
Website cloudstack.apache.org cloudeval.ai
Pricing
Open source
Open source Freemium Free trial $19 / Monthly Official pricing
Platforms —
AWS Azure GitHub
Company — Startup from India · 1 - 9 employees · 2026
Listed in
VPS Cloud Computing VPS Hosting Cloud Infrastructure +1
Developer Tools DevOps Tools Cloud Computing Cloud Infrastructure Infrastructure As Code Cloud Security Diagramming AI Tools AI +6

About Apache CloudStack and Cloudeval AI

In their own words, as submitted to SaaSHub.

Apache CloudStack
Cloudeval AI

No description of Apache CloudStack yet.

Cloudeval AI is a pre-deployment review layer for cloud infrastructure. Point it at ARM templates, Bicep compiled to ARM, AWS CloudFormation (beta) or a live Azure subscription, and it maps the architecture as a diagram, then flags cost, security and Well-Architected issues using 1,650+ checks,...

Read more about Cloudeval AI

Features and specs

What each product offers, as listed by its team.

Apache CloudStack 5 features
Cloudeval AI 5 features
  • Open Source
    Apache CloudStack is open source, meaning there is no licensing cost and the community can contribute to its development, which fosters innovation and adaptation.
  • Hybrid Cloud Capability
    It supports hybrid cloud environments, allowing for integration with public cloud providers and providing flexibility in managing diverse resources.
  • Scalable
    CloudStack is designed to handle large deployments, making it suitable for scaling from small to very large cloud deployments.
  • Multi-Hypervisor Support
    Supports multiple hypervisors like VMware, KVM, and XenServer, providing freedom to choose the underlying virtualization technology.
  • Robust API
    Offers a comprehensive and robust API, which facilitates automation and integration with other systems and tools.

Possible disadvantages

  • Steep Learning Curve
    Due to its vast array of features and complex architecture, it can be challenging for newcomers to grasp and configure efficiently.
  • Community Support
    While there is a community for support, it might not be as extensive or responsive as commercial solutions with dedicated support.
  • Limited Advanced Features
    Compared to some commercial cloud platforms, Apache CloudStack may lack certain advanced features or cutting-edge integrations.
  • Upgrading Complexity
    Upgrading existing deployments can be complex and may require significant planning to ensure smooth transitions without downtime.
  • Customization Challenges
    Although highly configurable, customizing CloudStack for specific needs might require deep expertise and can be resource-intensive.
  • Focus on cloud-specific AI evaluation
    Based on the name and domain, the product appears aimed at evaluating or assisting with cloud-related tasks such as infrastructure and configuration. A specialized focus can be more useful than a general-purpose AI tool. I could not verify the exact feature set, so check the site for specifics.
  • Potential time savings
    AI-driven tools in this category typically automate repetitive review, validation, or analysis work, which can shorten DevOps and cloud engineering cycles. Confirm that cloudeval.ai delivers this for your workflows.
  • Possible reduction of misconfiguration risk
    Automated evaluation of cloud configurations or AI-generated infrastructure code can catch errors before deployment. This is a common benefit of tools in this space, but verify that this product provides it.
  • Supports informed decision-making
    Tools that benchmark or score cloud setups or AI outputs can give teams objective data for choosing between approaches, models, or architectures.
  • Likely accessible via web platform
    A dedicated web presence suggests a low barrier to trying the product without heavy local setup. Check the site for demos, free tiers, or documentation.

Videos

Walkthroughs and reviews on video.

Apache CloudStack 3 videos + Add
Cloudeval AI 2 videos + Add

Apache CloudStack - Storage - Snapshots - Code Review

More videos

  • - #14 | #ACSarchives: Apache CloudStack | Storage, Snapshots & Code Review
  • - Apache Cloudstack Tutorial: What is Apache Cloudstack Part - 2

Cloud infra-as-code review in Github

More videos

  • - Cloudeval AI Demo (2 mins)

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Apache CloudStack
Cloudeval AI
88% 88%
Cloud Computing
12% 12%
0% 0%
AI
100% 100%
100% 100%
VPS
0% 0%
70% 70%
Cloud Infrastructure
30% 30%

Questions & Answers

As answered by people managing Apache CloudStack and Cloudeval AI.

What makes your product unique?

Cloudeval AI's answer:

Cloudeval is a pre-deployment decision layer, not just a diagramming or linting tool. It reads ARM templates, Bicep (compiled to ARM), AWS CloudFormation (beta) or a live Azure environment, maps the real architecture as a diagram, and runs 1,650+ attributed cost, security and Well-Architected checks, so every finding comes with evidence you can verify. The same review runs in the web app, the CLI, a GitHub Action on pull requests, and an MCP server for AI coding agents.

Why should a person choose your product over its competitors?

Cloudeval AI's answer:

Most tools do one piece: diagramming tools like Cloudcraft or Hava draw what is already deployed, cost tools like Infracost estimate spend, and scanners flag policy violations. Cloudeval combines architecture diagrams, cost, security and Well-Architected findings in one evidence-backed review, and it runs before deployment on ARM and Bicep, which few tools cover. It also fits where teams already work: pull requests through a GitHub Action, the terminal through the CLI, and AI agents like Codex, Cursor and Claude Code through MCP.

How would you describe the primary audience of your product?

Cloudeval AI's answer:

Cloud architects, platform engineers and DevOps teams who ship Azure infrastructure with ARM or Bicep, plus AWS teams using CloudFormation. It also suits consultants reviewing client environments and teams using AI coding agents that need grounded infrastructure context.

What's the story behind your product?

Cloudeval AI's answer:

Cloudeval is built by Ganak AI Labs, an Indian AI startup. Validation only tells you a template will deploy, not whether the change is safe to ship. Cloudeval was built to close that gap: turn infrastructure code into a clear picture of what will change and the evidence behind each risk, before it reaches production.

User comments

Share your experience with using Apache CloudStack and Cloudeval AI. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Apache CloudStack 7 mentions
Cloudeval AI 0 mentions

View more

Tracking Cloudeval AI since Oct 2026.

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