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Cloudflare Workers vs AWS Lambda: Complete Comparison Guide

Compare Cloudflare Workers and AWS Lambda on cold starts, execution time, edge computing, and cost. Discover which serverless platform best fits your use case.

Cloudflare Workers

Cloudflare Workers is an edge computing platform that executes code at over 200 locations worldwide. Built on V8 isolates (the same engine as Chrome), Workers offer 0ms cold starts and sub-millisecond startup times. The platform supports JavaScript, TypeScript, Rust, and Python, and integrates seamlessly with Cloudflare's ecosystem of KV Storage, Durable Objects, R2, and D1.

AWS Lambda

AWS Lambda is the pioneer of serverless computing and the most widely used Function-as-a-Service platform. Lambda runs in AWS regions and supports virtually any runtime (Node.js, Python, Java, Go, .NET, Ruby). With a maximum execution time of 15 minutes and deep integration into the AWS ecosystem, Lambda is suitable for both simple API endpoints and complex data processing pipelines.

Comparison table

FeatureCloudflare WorkersAWS Lambda
Cold starts0ms — V8 isolates start instantaneously without cold start100ms-10s depending on runtime, memory, and VPC configuration
Execution limitMaximum 30 seconds CPU time (higher on paid plans)Maximum 15 minutes per execution — suitable for long-running tasks
Locations200+ edge locations worldwide — code runs close to the user30+ AWS regions — configured per region
RuntimesJavaScript/TypeScript, Rust, Python (via WASM)Node.js, Python, Java, Go, .NET, Ruby, and custom runtimes
EcosystemKV Storage, Durable Objects, R2, D1, Queues, AIFull AWS ecosystem: S3, DynamoDB, SQS, Step Functions, etc.
Pricing modelFree 100K requests/day, then $0.50/million requestsFree 1M requests/month, then $0.20/million requests + compute

Verdict

Cloudflare Workers and AWS Lambda represent two fundamentally different approaches to serverless computing. Workers excel in edge computing with 0ms cold starts at 200+ locations — perfect for latency-sensitive endpoints and edge logic. Lambda offers the broadest functionality with any runtime, 15-minute execution time, and the full AWS ecosystem. For API endpoints and edge middleware, Workers is superior; for complex backend workloads and long-running tasks, Lambda is the better choice.

Our recommendation

At MG Software, we deliberately choose Cloudflare Workers when latency and global availability are crucial — think API gateways, auth middleware, and geo-routing. For more complex backend logic, we use Supabase Edge Functions or recommend AWS Lambda when deep AWS integration is needed. The combination of Vercel Edge Functions for frontend and Supabase Edge Functions for backend covers most use cases our clients have without the complexity of a full AWS setup.

Further reading

AWS vs Google Cloud comparisonWhat is serverless?Vercel vs Netlify comparison

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Frequently asked questions

Cloudflare Workers use V8 isolates instead of containers or microVMs. V8 isolates are lightweight execution environments that start up in less than 5 milliseconds, resulting in effectively no noticeable cold start. This fundamentally differs from Lambda, which must spin up containers per execution when no warm instance is available.
Yes, via Lambda@Edge and CloudFront Functions, AWS can execute code at CloudFront edge locations. Lambda@Edge supports Node.js and Python with up to 5 seconds of execution time. CloudFront Functions is lighter and faster but more limited. However, the developer experience and number of locations are less than Cloudflare Workers.
At high volumes, Cloudflare Workers is typically cheaper thanks to simple per-request pricing. Lambda's costs scale with both requests and compute time (GB-seconds), which adds up quickly for compute-intensive tasks. Workers' Unbound plan offers predictable pricing. For compute-heavy tasks, however, Lambda can be more efficient due to more available memory and longer execution times.

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