Comparison

Google Cloud Run vs Koyeb

On the evidence we track, Koyeb leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Google Cloud Run45
Koyeb81
Score
Vioscale score
Google Cloud Run45 / 100low · 49%
Koyeb81 / 100medium · 71%
Pricing
Free tier
Google Cloud Run
Koyeb
Model
Google Cloud Runfreemium
Price level
Google Cloud Runlow
Koyeblow
Transparent
Google Cloud Run
Koyeb
Integrations
Count
Google Cloud Run2
Koyeb20
Security
Iso27001
Google Cloud Run
Koyeb
Soc2
Google Cloud Run
Koyeb
Reliability
Sla pct
Google Cloud Run
Koyeb99.99
Status page
Google Cloud Run
Koyeb
Market

Capabilities

Feature-by-feature on the axes that matter for paas & hosting. “-” means undocumented, not absent.

Deploy
Git-push auto-deploy
Google Cloud Run
Koyeb
Deploy arbitrary container image
Google Cloud Run
Koyeb
Per-PR preview environments
Google Cloud Run-
Koyeb-
Build
Build system
Google Cloud RunBuildpacks
KoyebDockerfile
Runtime / language breadth
Google Cloud RunGo, Node.js, Python, Java, .NET Core, Ruby, and any language via containers
KoyebMultiple popular languages and frameworks via Docker and native runtime support
Scale
Autoscaling
Google Cloud RunScale-to-zero
KoyebScale-to-zero
Deployment
Geographic reach
Google Cloud RunMulti-region
KoyebGlobal edge
Hosting
Google Cloud RunCloud only
KoyebCloud only
Data
Bundled managed data services
Google Cloud Run-
Koyeb
Delivery
Built-in global CDN / edge
Google Cloud Run-
Koyeb
Custom domains + automatic TLS
Google Cloud Run-
Koyeb-
Ops
Env vars & secrets management
Google Cloud Run-
Koyeb-
Instant rollbacks
Google Cloud Run-
Koyeb-
Extensibility
CLI + deploy API
Google Cloud Run
Koyeb

What each one is

The product in its own terms, so the numbers below have context.

Google Cloud Run

A fully managed cloud platform for running containerized applications and backend services with automatic scaling, multi-region deployment, and pay-per-use billing. Supports multiple programming languages, batch jobs, and LLM hosting.

Independently observed

Koyeb

Leader

A cloud platform that enables developers to deploy and scale AI applications, APIs, and managed databases without managing infrastructure. Provides serverless compute with automatic scaling, edge deployment across 50+ global locations, and support for intensive workloads.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Google Cloud Run

HybridFree tier

Free tier: 2 million requests per month. Pay per request when usage exceeds free tier.

as of verify ↗

Koyeb

Leader
from $0.10/moHybridFree tier

From free tier (50 active hours/month) to $96.42/month for Large Postgres; usage-based add-ons for storage and operations at $0.10/GB

  • FreeFree
    • 1GB RAM
    • 0.25 CPU
    • 50 active hours/month
  • Small$20.89/month or $0.0000078/second
    • 1GB RAM
    • 0.25 CPU
  • Medium$42.85/month or $0.000016/second
    • 2GB RAM
    • 0.5 CPU
  • Large$96.42/month or $0.000036/second
    • 4GB RAM
    • 1 CPU
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Google Cloud Run
Koyeb
CLI
Google Cloud Run
Koyeb
Deployment
Cloud / SaaS
Google Cloud Run
Koyeb

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (1)
  • GitHub

Google Cloud Run

2 total - 1 not shared
  • Git
Independently observed

Koyeb

Leader
20 total - 19 not shared
  • Docker
  • Kubernetes
  • AWS S3
  • Google Cloud Storage
  • Azure Blob Storage
  • DigitalOcean
  • Vultr
  • Wasabi
  • Scaleway
  • Minio
  • Ollama
  • MistralAI
  • OpenAI
  • Anthropic Claude
  • Google Gemini
  • Dagger
  • Neo4j
  • LlamaIndex
  • n8n
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.