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AWS Lambda vs Azure Functions

A detailed comparison to help you choose between AWS Lambda and Azure Functions.

Quick Verdict

4.1/5

AWS Lambda

0 reviews

4.0/5

Azure Functions

0 reviews

AWS Lambda is rated higher (4.1 vs 4.0). 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. Azure Functions is Microsoft's serverless platform. 1M free executions/month. Durable Functions for long-running workflows. Best integration with .NET, Microsoft 365, and Azure services.

AWS Lambda

AWS Lambda

The original serverless functions service

Azure Functions

Azure Functions

Microsoft serverless functions for .NET teams

Overview
Rating4.1 (0 reviews)✓4.0 (0 reviews)
Pricing modelfreemium (pay per request + GB-second; MicroVMs/Managed Instances metered differently)usage-based
Starting priceFree tier availableFree tier available
Best forAWS developers building event-driven, variable-traffic workloads — webhooks, media processing, scheduled jobs, API backends — who want to stop managing servers entirelyMicrosoft/.NET teams building event-driven processing, workflows (Durable Functions), and spiky APIs inside the Azure ecosystem
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
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Tags
Tags
free tierapi accessus datacentereu datacenterapac datacenter
free tierapi accessus datacentereu datacenterapac datacenter
Visit AWS Lambda →Visit Azure Functions →

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
View full AWS Lambdareview →

Azure Functions

Pros

  • + Permanent free grant of 1 million executions and 400,000 GB-s per month
  • + Trigger/binding integrations cover most Azure and third-party services declaratively
  • + Durable Functions for stateful orchestration — the strongest workflow story among serverless platforms
  • + Hosting plan ladder (Consumption, Flex, Premium, Dedicated, Container Apps) covers most cost/performance points
  • + 99.95% SLA with service credits scaling up to 100% below 95% uptime

Cons

  • - Cold starts on Consumption hurt latency-sensitive HTTP workloads
  • - Per-instance limits (1.5 GB RAM, 1 core) cap what single functions can do
  • - Azure surface area: storage account, monitoring, identity, and networking costs stack up
  • - Bindings and Durable Functions abstractions lock integration logic to Azure
  • - Premium costs real money whether or not traffic flows (EP1 ~$146/month US rates)
View full Azure Functionsreview →

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