Independent comparison for serverless function platforms. Updated May 2026.
Quick verdict: Choose AWS Lambda for the broadest event-source integration ecosystem (200+ AWS services), advanced features like provisioned concurrency and SnapStart for Java, and the deepest production tooling. Choose Google Cloud Functions for tight integration with Firebase, Pub/Sub, BigQuery, and Cloud Run-aligned developer experience, where the simpler model and consistent gen2 architecture match team needs. The differentiator is ecosystem breadth vs developer simplicity.
| Criteria | AWS Lambda | Google Cloud Functions |
|---|---|---|
| Generation | Single platform, continuously updated | Gen2 built on Cloud Run runtime |
| Runtimes | Node.js, Python, Java, .NET, Ruby, Go, custom | Node.js, Python, Go, Java, .NET, Ruby, PHP |
| Max Execution Time | 15 minutes | 60 minutes (HTTP), 9 minutes (event) |
| Max Memory | 10 GB | 16 GB (gen2) |
| Concurrency Model | Reserved and provisioned concurrency | Min and max instance scaling |
| Cold Start Optimisation | SnapStart for Java, provisioned concurrency | Min instances, smaller default cold start |
| Pricing — Free Tier | 1M requests + 400K GB-seconds free / month | 2M invocations + 400K GB-seconds free / month |
| Pricing — Per Request | $0.20 per 1M requests | $0.40 per 1M invocations |
| Event Sources | 200+ AWS services, EventBridge bus | Pub/Sub, Cloud Storage, Firestore, Eventarc |
| Best For | Event-driven architecture across AWS | Firebase apps, Google data ecosystem |
AWS Lambda is the original commercial serverless platform and remains the most feature-complete. Lambda supports Node.js, Python, Java, .NET, Ruby, Go, and custom runtimes via container images. Functions can be triggered by over 200 AWS services through the event source mappings, EventBridge, or direct invocation. Advanced features include provisioned concurrency (pre-warmed instances to eliminate cold start), SnapStart for Java (instance restoration from cached snapshot), Lambda Layers for shared dependencies, and Lambda Function URLs for direct HTTPS access without API Gateway. Lambda integrates tightly with VPC, IAM, X-Ray tracing, and the broader AWS observability stack.
Google Cloud Functions has gone through significant architectural changes. Gen2, the current production tier, is built on the Cloud Run runtime, which means Cloud Functions and Cloud Run share the underlying execution engine while presenting different developer experiences. This gives gen2 Functions higher memory limits (up to 16 GB), longer execution times (60 minutes for HTTP-triggered functions), and concurrency-per-instance (a Cloud Run feature). Event sources are narrower than Lambda but cover the major Google Cloud services — Pub/Sub, Cloud Storage, Firestore, BigQuery, and Eventarc for broader event routing.
Both platforms support container image deployments, allowing custom runtimes and dependency layers. Cold start performance varies by runtime — Node.js and Python typically have 100-500 ms cold starts on both platforms, while Java and .NET can be 1-3 seconds without optimisation. SnapStart on Lambda dramatically reduces Java cold start. Browse additional serverless and PaaS options in the cloud infrastructure category.
Lambda pricing is $0.20 per 1M requests plus $0.0000166667 per GB-second of execution time. A typical Lambda invocation with 256 MB memory and 200 ms execution costs approximately $0.000000875 per request. The free tier provides 1M requests and 400,000 GB-seconds per month, sufficient for many low-traffic applications at no cost.
Google Cloud Functions pricing is $0.40 per 1M invocations plus $0.0000025 per GB-second (compute) and $0.0000100 per GHz-second (CPU). The free tier provides 2M invocations and 400,000 GB-seconds monthly. At low volumes, GCF appears more expensive per request but the free tier is larger; at high volumes, total cost is broadly comparable, with Lambda typically 10-20% cheaper for compute-heavy workloads. For most workloads under 10M monthly invocations, the cost difference is negligible compared with engineering investment in each platform's specific tooling.
Choose AWS Lambda if your event-driven architecture spans multiple AWS services, you need provisioned concurrency or SnapStart for low-latency requirements, or your team has existing AWS expertise and tooling. Lambda is the right choice for the broadest ecosystem of supported event sources, the deepest production-grade tooling (X-Ray, CloudWatch, CodeDeploy canary releases), and applications where the 200+ AWS service integrations matter.
Choose Google Cloud Functions if your application is built on Firebase, where Functions integrates natively with Firestore, Authentication, and Realtime Database triggers. Cloud Functions also fits Google data ecosystem applications using Pub/Sub, BigQuery, or Cloud Storage as primary event sources, and teams that prefer the simpler developer experience and consistency with Cloud Run for longer-running workloads.