Head-to-head · Serverless Platforms
AWS Lambda vs Cloud Run functions
AWS Lambda leads on 0 checks, Cloud Run functions on 1, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAWS Lambda · 9.4/10
- Free planboth
- Most featuresCloud Run functions · 2 of 4
AWS Lambda scores higher on our rubric for serverless platforms: 9.4 against 9.1 out of 10; our editors rank them #1 and #4.
Cloud Run functions leads on max execution time: 3600 seconds versus 900 seconds.
AWS Lambda is the better fit for AWS-centric production workloads. Cloud Run functions is the better fit for google Cloud event-driven functions.
- AWS Lambda fits best
AWS-centric production workloads
- Cloud Run functions fits best
Google Cloud event-driven functions
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Side by side
| Feature | AWS Lambda 9.4/10 Visit ↗ | Cloud Run functions 9.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.1 |
| Ranking | #1 in Serverless Platforms | #4 in Serverless Platforms |
| Best for | AWS-centric production workloads | Google Cloud event-driven functions |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $0.20/unit usage-based | Free plan |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Integrations | 9 integrations | 9 integrations |
| Features AWS Lambda 0/4 · Cloud Run functions 2/4 | ||
| Event triggers | Not checked yet | ✓ (best) |
| Durable workflows | Not checked yet | Not checked yet |
| Container workloads | Not checked yet | ✓ (best) |
| Edge deployment | Not checked yet | Not checked yet |
| Specs | ||
| Max execution time | 900 seconds | 3600 seconds (best) |
| Supported runtimes | Not checked yet | Node.js, Python, Go, Java, Ruby, PHP, .NET |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS Lambda is a managed serverless compute service for running functions and applications without provisioning servers. It is designed for teams building event-driven workloads, HTTP endpoints, real-time data processing, and multi-step… Read the review → |
Cloud Run functions is a serverless function platform for code that responds to HTTP requests or events from Google Cloud services and other systems. It is designed for teams building event-driven applications, web APIs, and integrations… Read the review → |
Strengths and trade-offs
AWS Lambda — where it wins
- Scales automatically from zero to peak demand
- Supports ZIP packages, container images, and custom runtimes
- Includes monitoring, traffic shifting, and durable workflows
Where it doesn't
- Execution duration adds charges beyond request volume
- Custom domains require Amazon API Gateway
- Its strongest fit is within the AWS ecosystem
Cloud Run functions — where it wins
- Supports HTTP triggers and Eventarc-based event-driven functions
- Builds, deploys, scales, and manages function infrastructure automatically
- Offers multiple runtimes, container-based builds, and local development
Where it doesn't
- Pricing is usage-based, which can make costs vary with consumption
- Its ecosystem focus centers on Google Cloud services and integrations
- Requires choosing among multiple runtimes, triggers, and deployment options
- AWS Lambda9.4/10 · Free plan
A flexible AWS-native serverless runtime with usage-based pricing and broad event support.
Visit AWS LambdaFull verdict → - Cloud Run functions9.1/10 · Free plan
A Google Cloud-focused option for HTTP and event-driven functions with automatic scaling.
Visit Google CloudFull verdict →
More comparisons
- AWS Lambda vs Oracle Functions
- AWS Lambda vs IBM Cloud Code Engine
- AWS Lambda vs Huawei Cloud FunctionGraph
- AWS Lambda vs Alibaba Cloud Function Compute
- Google Cloud Run vs Cloud Run functions
- Azure Functions vs Cloud Run functions
- Cloud Run functions vs Oracle Functions
- Cloud Run functions vs IBM Cloud Code Engine
All serverless platforms comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







