AWS Lambda vs Google Cloud (GCP)
A detailed comparison to help you choose between AWS Lambda and Google Cloud (GCP).
Quick Verdict
4.1/5
AWS Lambda
0 reviews
3.9/5
Google Cloud (GCP)
0 reviews
AWS Lambda is rated higher (4.1 vs 3.9). 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. Known for its data analytics and AI tooling (BigQuery, Vertex AI).
 AWS Lambda The original serverless functions service | Google Cloud (GCP) Google's cloud — AI/ML and data analytics focus | |
|---|---|---|
| Overview | ||
| Rating | 4.1 (0 reviews)✓ | 3.9 (0 reviews) |
| Pricing model | freemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently) | pay-as-you-go |
| Starting price | Free tier available | Free tier available |
| Best for | AWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirely | Data- and ML-centric teams already building on BigQuery, GKE, or Vertex AI, and workloads that need a published multi-zone SLA or data residency in one of 43 regions. |
| 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 tierhourly billingipv6gpu availables3 compatibleeu datacenterus datacenterapac datacenterapi accessterraform providerkubernetes supportarm processors |
| Visit AWS Lambda → | Visit Google Cloud (GCP) → | |
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
Google Cloud (GCP)
Pros
- + Best published SLA set in the comparison: 99.99% multi-zone, 99.9% single-instance
- + 43 regions and 130 zones with per-region price variance you can trade against latency
- + Per-second billing and three discount levers — Spot up to 91% off, commitments up to 55–70%
- + Live migration through host maintenance; deep integration with GKE, BigQuery, Vertex AI
- + Real free entry: $300 trial credit that never auto-charges, plus an Always Free e2-micro VM
Cons
- - Poor price-performance for plain VMs versus European VPS specialists; no bundled transfer
- - Egress is expensive ($0.12/GiB Premium) and billed as a separate line item
- - Sustained use discounts don't apply to E2 and N4 — the families entry buyers choose
- - Budgets alert but don't cap Compute Engine spend; human support costs from $29/month
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