Google Cloud Functions vs AWS Lambda
A detailed comparison to help you choose between Google Cloud Functions and AWS Lambda.
Quick Verdict
3.9/5
Google Cloud Functions
0 reviews
4.1/5
AWS Lambda
0 reviews
AWS Lambda is rated higher (4.1 vs 3.9). Google Cloud Functions is GCP's serverless compute. HTTP-triggered or event-driven. 2M free invocations/month. Node.js, Python, Go, Java, Ruby, PHP, and .NET supported. Deep integration with Firebase. AWS Lambda is the original FaaS service — run code without servers. Supports 15+ runtimes, 1M free requests/month, and integrates deeply with 200+ AWS services. Triggered by S3, DynamoDB, API Gateway, and more.
Google Cloud Functions Serverless functions on Google infrastructure | AWS Lambda The original serverless functions service | |
|---|---|---|
| Overview | ||
| Rating | 3.9 (0 reviews) | 4.1 (0 reviews)✓ |
| Pricing model | freemium | freemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently) |
| Starting price | Free tier available | Free tier available |
| Best for | GCP and Firebase developers running event-driven workloads who want per-100ms billing and no servers to manage | AWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirely |
| Features | ||
| IPv6 | ||
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | — | All 39 AWS regions / 124 AZs |
| Tags | ||
| Tags | free tierapi accessus datacentereu datacenterapac datacenter | free tierapi accessus datacentereu datacenterapac datacenter |
| Visit Google Cloud Functions → | Visit AWS Lambda → | |
Google Cloud Functions
Pros
- + 2 million free invocations per month, permanently, per billing account
- + Published 99.95% uptime SLA with 10/25/50% financial credits
- + 2nd gen on Cloud Run infrastructure: concurrency, Eventarc triggers, traffic splitting, GPU access
- + First-class Firebase, Pub/Sub, Cloud Storage, and Secret Manager integration
Cons
- - GCP lock-in: events, IAM, and deployment are Google Cloud objects
- - Gen 1 / gen 2 split means two pricing models and two capability levels in one product
- - Costs scale with abuse and bugs — every failed invocation is billed, no per-function spend cap
- - Container image storage (Artifact Registry) bills separately even within the free tier
AWS Lambda
Pros
- + Zero idle cost with a free tier that covers small products: 1M requests and 400,000 GB-seconds monthly
- + Graviton pricing at $0.0000133334 per GB-second undercuts x86 by roughly 20%
- + Automatic multi-AZ scaling with a 99.95% per-region SLA and no capacity planning
- + Deep event integration across AWS services, with three form factors (Event/Web Functions, MicroVMs)
Cons
- - Per-request and GB-second pricing gets expensive against committed compute at steady high utilization
- - Cold starts — hundreds of milliseconds to seconds depending on runtime — with provisioned concurrency as an extra meter
- - 15-minute execution limit and payload caps make it wrong for long-running batch work
- - AWS-specific event plumbing creates real lock-in; distributed event chains are hard to debug
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