CloudQuery
by CloudQuery · Multi-cloud asset inventory with SQL policies and automation
BenchRank score
Screenshots of CloudQuery
Homepage
Overview
CloudQuery collects cloud infrastructure data across providers into one inventory you query with SQL or natural language. Detective policies are written in SQL and evaluated against live infrastructure rather than static scans. Event-driven workflows respond to drift, cost spikes or policy violations by sending alerts, creating tickets or calling webhooks.
- Best for
- Platform, security and FinOps teams that need a queryable inventory of a multi-cloud estate.
- Pricing
- Free 14-day trial and an open-source self-hosted CLI; Team is $500/month, Foundation starts at $2,500/month billed annually, and Enterprise is quoted on request.
- Runs on
- WebmacOSSelf-hostedCLI
Strengths and trade-offs
Strengths
- Open-source, self-hosted CLI alongside the managed platform
- Policies written in SQL, applied across accounts and providers
- Covers AWS, GCP, Azure, Kubernetes plus tools like Okta and Wiz
- Workflows trigger on changes to alert, raise tickets or call webhooks
Trade-offs
- Cheapest platform plan is $500/month; no free self-serve tier
- Team plan limits integrations to AWS, GCP, Azure plus one other
- AI assistant conversations are metered: 30/month on Team
- SSO, SCIM and audit logs are Enterprise-only
How CloudQuery markets itself
A structured read of the promise, proof and page design on CloudQuery’s captured homepage.
Homepage capture
“Cloud operations, without the chaos”
- Angle: Outcome / benefit-led
- Hero: Abstract graphic
Pricing
Published plans and prices from CloudQuery’s own pricing page.
How this score is made up
Each dimension is scored out of 100 and combined into the headline score using fixed weights.
MCP support
Whether an agent can drive the product through the Model Context Protocol, and how much setup that takes.
API quality
Public API surface: machine-readable spec, official SDKs, documented auth, errors, rate limits and versioning.
Documentation
Publicly reachable docs — coverage, freshness, code samples and machine readability.
Agent friendliness
How readable the site is to an automated client: llms.txt, structured data, server-rendered content, crawler access.
Pricing transparency
Whether real prices are published, self-serve signup exists, and usage costs are knowable without a sales call.
Changelog
A public, dated record of what shipped and when — the clearest signal that a product is still alive.
Marketing site structure
Whether the site answers a buyer's questions: clear positioning, the pages that matter, and accessibility.
Page speed
How fast the site loads for real visitors: Chrome UX Report 75th-percentile LCP, INP and CLS, with a Lighthouse mobile run standing in where a site has too little traffic for field data.
Operational trust
Status page and incident history, security disclosure, compliance and data-processing documentation.
Measured, but not part of the score
Useful to know, but not a mark for or against the product — so these do not affect the ranking.
Openness
Source availability, self-hosting, data export and open standards. Scored and shown, but not part of the composite — paid SaaS is not worse for being paid SaaS.
Maintenance
Release cadence and repository activity. Scored and shown, but not part of the composite — it is only measurable for open repositories.
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Where this comes from
The CloudQuery pages BenchRank reads when it scores the product — its documentation, release notes, status and security pages, and its repository where there is one.
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