Cloudcraft pricing says it is free in Datadog with any Datadog subscription and lists unlimited users and diagrams. A standalone price was not shown on the checked page.

Does Cloudcraft support Azure?

Yes. Datadog documentation says standalone Cloudcraft supports AWS and Microsoft Azure; Cloudcraft in Datadog documents broader provider visualization.

Can Cloudcraft export Terraform?

Datadog documentation says the Terraform export was removed. This comparison does not imply Cloudeval supports Terraform.

Can Cloudeval review Bicep before deployment?

Yes, after Bicep is compiled to ARM JSON; the GitHub Action can review supported changes in a pull request.

Does Cloudeval support AWS?

AWS CloudFormation templates only, as a static beta. There is no live AWS connection.

Yes. Use Cloudcraft for visual design or inventory communication and Cloudeval for evidence-backed Azure change review before deployment.

Comparison

Cloudcraft alternative for Azure pre-deployment review

Cloudcraft is a cloud architecture diagram tool, now free inside any Datadog subscription, that maps live AWS and Azure environments. Cloudeval is an alternative when you need to know whether an Azure change is safe to ship: it reviews ARM JSON and Bicep in the pull request against 1,650+ attributed checks and links each finding to evidence.

Consider Cloudeval for

A change can be inspected before it ships.

Consider Cloudcraft for

A visual design workflow is stronger for diagram authoring.

Try Cloudeval Review current capabilities

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 Cloudcraft when you want a visual architecture designer or live diagrams of AWS and Azure estates, including inside Datadog.
Use both when Cloudcraft documents what is running; Cloudeval checks the next Azure change before it ships.

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 Cloudcraft is the better choice

Choose Cloudcraft when you want a visual architecture designer or live diagrams of AWS and Azure estates, including inside Datadog.

When Cloudeval is the better choice: reviewing a change before it ships

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.

How the Azure workflow differs

Cloudcraft documents what is running. Cloudeval checks the next Azure change before it ships, including in a pull request.

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 fitVerify for your workflowWeak fit

Architecture and resource relationships

Cloudeval

Generate architecture and dependency views from supported project inputs; select resources to inspect properties and relationships.

Cloudcraft

Offers visual architecture design and live cloud diagrams; its Datadog experience also connects infrastructure visualization with observability.

Template review before deployment

Cloudeval

Import ARM JSON, compiled Bicep or supported CloudFormation beta templates. Inspect represented resources before deployment.

Cloudcraft

Compare the template input you need with the documented diagram/import workflow; do not assume IaC assessment parity.

Findings and source evidence

Cloudeval

Investigate supported findings alongside affected resources, source context and available rule evidence. Check actual assessment coverage.

Cloudcraft

Includes architecture budgeting and cost estimates; validate the security-assessment evidence needed for your review.

Project-aware AI investigation

Cloudeval

Ask about selected resources, dependencies and available report findings; inspect supporting references where present.

Cloudcraft

Verify the specific AI question and project/report grounding workflow; visualization alone does not establish equivalence.

CLI, APIs and AI-agent access

Cloudeval

Use supported CLI project/report workflows and MCP tools for project, graph, report and chat context.

Cloudcraft

Documents CI/CD integration and Datadog-connected workflows. Confirm API availability and the exact MCP operations you need.

Review exports and handoff

Cloudeval

Export diagrams as PNG/JPEG/SVG and available reports as PDF/Markdown/JSON. Preserve source revision and assessment time.

Cloudcraft

Documents PNG/PDF/SVG exports, private shared links and CI/CD integration; confirm availability for your plan and experience.

Provider and input scope

Cloudeval

Azure sync and ARM-derived projects; CloudFormation static review is beta. These do not imply live AWS or GCP parity.

Cloudcraft

Current Datadog-connected platform lists AWS, Azure, Google Cloud, Oracle Cloud and VMware vSphere; verify resource coverage for the selected experience.

Primary buying decision

Cloudeval

Strong fit when diagrams, findings, source context and AI questions need to support the same architecture review.

Cloudcraft

Visual design, 2D/3D presentation and infrastructure budgeting are key strengths.

Criteria	Cloudeval	Cloudcraft
Architecture and resource relationships	Strong fitGenerate architecture and dependency views from supported project inputs; select resources to inspect properties and relationships.	Strong fitOffers visual architecture design and live cloud diagrams; its Datadog experience also connects infrastructure visualization with observability.
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 fitIncludes architecture budgeting and cost estimates; validate the security-assessment evidence needed for your review.
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.	Verify fitDocuments CI/CD integration and Datadog-connected workflows. Confirm API availability and the exact MCP operations you need.
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 fitDocuments PNG/PDF/SVG exports, private shared links and CI/CD integration; confirm availability for your plan and experience.
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 fitCurrent Datadog-connected platform lists AWS, Azure, Google Cloud, Oracle Cloud and VMware vSphere; verify resource coverage for the selected experience.
Primary buying decision	Strong fitStrong fit when diagrams, findings, source context and AI questions need to support the same architecture review.	Strong fitVisual design, 2D/3D presentation and infrastructure budgeting are key strengths.

Choose Cloudeval for source-linked findings and project-aware AI investigation. Choose Cloudcraft for visual architecture design, budgeting and Datadog-connected infrastructure views.

Try the workflow with one environment

Choose the decision: visual design or pre-deployment review.
Review one ARM/Bicep change in Cloudeval.
Inspect the PR findings, source lines and coverage.
Keep Cloudcraft where visual design or Datadog bundling is the deciding factor.

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.

Frequently asked questions

Cloudcraft alternative for Azure pre-deployment review

Consider Cloudeval for

A change can be inspected before it ships.

Consider Cloudcraft for

A visual design workflow is stronger for diagram authoring.

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 Cloudcraft when you want a visual architecture designer or live diagrams of AWS and Azure estates, including inside Datadog.

Use both when Cloudcraft documents what is running; Cloudeval checks the next Azure change before it ships.

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