Head-to-head · Serverless Hosting
AWS Lambda vs Google App Engine
AWS Lambda leads on 0 checks, Google App Engine on 0, and 2 are even. Who comes out ahead on the 2 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 featuresAWS Lambda · 1 of 2
AWS Lambda scores higher on our rubric for serverless hosting: 9.4 against 9.1 out of 10; our editors rank them #1 and #4.
AWS Lambda is the better fit for teams needing broad, mature serverless functions. Google App Engine is the better fit for managed apps needing networking and database connections.
- AWS Lambda fits best
Teams needing broad, mature serverless functions
- Google App Engine fits best
Managed apps needing networking and database connections
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Side by side
| Feature | AWS Lambda 9.4/10 Visit ↗ | Google App Engine 9.1/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.1 |
| Ranking | #1 in Serverless Hosting | #4 in Serverless Hosting |
| Best for | Teams needing broad, mature serverless functions | Managed apps needing networking and database connections |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | $0.20/unit usage-based | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud | Cloud |
| Platforms | Web | Web |
| Integrations | 9 integrations | 10 integrations |
| Features AWS Lambda 1/2 · Google App Engine 0/2 | ||
| Custom domains | ✓ (best) | Not checked yet |
| Preview deployments | Not checked yet | Not checked yet |
| Specs | ||
| Execution model | Request_based | Not checked yet |
| Max execution time | 900 sec | Not checked yet |
| Deployment methods | Not checked yet | Not checked yet |
| Runtime languages | Node.js, Python, Java, C# (.NET), Ruby, Go, custom runtimes, and container images | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | AWS Lambda runs functions and applications without requiring teams to provision servers. It is aimed at teams building event-driven workloads, HTTP endpoints, and real-time data processing, especially those working with AWS services. The… Read the review → |
Google App Engine is a managed platform for deploying web applications and services without managing servers. It supports web and API workloads, with standard and flexible environments, multiple programming languages, and custom runtimes.… Read the review → |
Strengths and trade-offs
AWS Lambda — where it wins
- Scales automatically from zero to peak demand.
- Supports managed and custom runtimes, ZIP packages, and container images.
- Connects with AWS services and supports durable multi-step functions.
Where it doesn't
- Execution duration and other AWS services can add charges.
- Custom domains require API Gateway rather than Lambda function URLs.
- Maximum execution time is 900 seconds.
Google App Engine — where it wins
- Standard environment includes a free daily usage tier.
- Choose automatic, basic, or manual scaling in the standard environment.
- Connect to Cloud SQL, Firestore, and private networking services.
Where it doesn't
- Flexible environment has no free tier.
- Usage-based hourly pricing can vary with resource consumption.
- Flexible deployments use virtual machines rather than the standard environment.
- AWS Lambda9.4/10 · Free plan
A mature, broad serverless compute service with usage-based pricing and AWS integrations.
Visit AWS LambdaFull verdict → - Google App Engine9.1/10 · Free plan
A managed hosting platform with autoscaling, networking, and Google Cloud service connections.
Visit Google CloudFull verdict →
More comparisons
- AWS Lambda vs Google Cloud Run
- AWS Lambda vs Azure Functions
- AWS Lambda vs Firebase Cloud Functions
- AWS Lambda vs Netlify
- AWS Lambda vs Vercel
- AWS Lambda vs IBM Code Engine
- Azure Functions vs Google App Engine
- Google App Engine vs Firebase Cloud Functions
All serverless hosting comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update







